Lee, H.J.,
Chen, Z.,
Determination of 3D Human Body Postures from a Single View,
CVGIP(30), No. 2, May 1985, pp. 148-168.
Elsevier DOI
BibRef
8505
Barrón, C.[Carlos],
Kakadiaris, I.A.[Ioannis A.],
On the Improvement of Anthropometry and Pose Estimation from a Single
Uncalibrated Image,
MVA(14), No. 4, September 2003, pp. 229-236.
Springer DOI
0309
BibRef
Earlier:
The Improvement of Anthropomery and Pose Estimation from a
Single Uncalibrated Image,
HUMO00(53-60).
IEEE Top Reference.
0010
See also Model-Based Estimation of 3D Human Motion.
BibRef
Barrón, C.[Carlos],
Kakadiaris, I.A.[Ioannis A.],
Estimating Anthropometry and Pose from a Single Uncalibrated Image,
CVIU(81), No. 3, March 2001, pp. 269-284.
DOI Link
0001
BibRef
Earlier:
Estimating Anthropometry and Pose from a Single Image,
CVPR00(I: 669-676).
IEEE DOI
0005
See also Model-Based Estimation of 3D Human Motion.
BibRef
Bruckstein, A.M.[Alfred M.],
Holt, R.J.[Robert J.],
Jean, Y.D.[Yves D.],
Netravali, A.N.[Arun N.],
On the use of shadows in stance recovery,
IJIST(11), No. 5, 2000, pp. 315-330.
WWW Link.
0110
BibRef
Mori, G.[Greg], and
Malik, J.[Jitendra],
Recovering 3D Human Body Configurations Using Shape Contexts,
PAMI(28), No. 7, July 2006, pp. 1052-1062.
IEEE DOI
0606
BibRef
Earlier:
Estimating Human Body Configurations Using Shape Context Matching,
ECCV02(III: 666 ff.).
Springer DOI Or:
PDF File.
0205
From a single image, locate body parts, estimate joint positions, then
get 3-D pose.
See also Efficient Shape Matching Using Shape Contexts.
BibRef
Mori, G.,
Ren, X.F.[Xiao-Feng],
Efros, A.A.,
Malik, J.,
Recovering Human Body Configurations:
Combining Segmentation and Recognition,
CVPR04(II: 326-333).
IEEE DOI
0408
BibRef
Wang, Y.[Yang],
Mori, G.[Greg],
Multiple Tree Models for Occlusion and Spatial Constraints in Human
Pose Estimation,
ECCV08(III: 710-724).
Springer DOI
0810
BibRef
Earlier:
Boosted Multiple Deformable Trees for Parsing Human Poses,
HUMO07(16-27).
Springer DOI
0710
BibRef
Chen, B.[Bo],
Nguyen, N.[Nhan],
Mori, G.[Greg],
Human Pose Estimation with Rotated Geometric Blur,
WACV08(1-6).
IEEE DOI
0801
BibRef
Fathi, A.[Alireza],
Mori, G.[Greg],
Human Pose Estimation using Motion Exemplars,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Ren, X.F.[Xiao-Feng],
Berg, A.C.[Alexander C.],
Malik, J.[Jitendra],
Recovering Human Body Configurations Using Pairwise Constraints between
Parts,
ICCV05(I: 824-831).
IEEE DOI
0510
BibRef
Dimitrijevic, M.,
Lepetit, V.,
Fua, P.,
Human body pose detection using Bayesian spatio-temporal templates,
CVIU(103), No. 2-3, November-December 2006, pp. 127-139.
Elsevier DOI
0611
Keywords: Body pose detection; Spatio-temporal templates;
Template matching; Chamfer matching
BibRef
Wang, J.M.[Jack M.],
Fleet, D.J.[David J.],
Hertzmann, A.[Aaron],
Gaussian Process Dynamical Models for Human Motion,
PAMI(30), No. 2, February 2008, pp. 283-298.
IEEE DOI
0712
BibRef
And: Correction:
PAMI(30), No. 6, June 2008, pp. 1118-1118.
IEEE DOI
0804
Models of pose from motion capture data.
BibRef
Cao, Y.S.[Yan-Shuai],
Brubaker, M.A.,
Fleet, D.J.[David J.],
Hertzmann, A.[Aaron],
Efficient Optimization for Sparse Gaussian Process Regression,
PAMI(37), No. 12, December 2015, pp. 2415-2427.
IEEE DOI
1512
Gaussian processes
BibRef
Kohli, P.[Pushmeet],
Rihan, J.[Jonathan],
Bray, M.[Matthieu],
Torr, P.H.S.[Philip H. S.],
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic
Graph Cuts,
IJCV(79), No. 3, September 2008, pp. xx-yy.
Springer DOI
0806
BibRef
Earlier: A3, A1, A4, Only:
PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans
Using Dynamic Graph-Cuts,
ECCV06(II: 642-655).
Springer DOI
0608
BibRef
Rahman, M.M.[M. Masudur],
Ishikawa, S.[Seiji],
Human Posture Recognition: Eigenspace Tuning By A Mean Eigenspace,
IJIG(5), No. 4, October 2005, pp. 825-837.
0510
BibRef
Scherff, P.C.[Phillip-Christoph],
Baciu, G.[George],
Hu, J.L.[Jin-Lian],
Intuitive Parameterized Input Interface For Proportional Reshaping Of
Human Bodies,
IJIG(8), No. 2, April 2008, pp. 299-325.
0804
BibRef
Hsieh, J.W.[Jun-Wei],
Chuang, C.H.,
Chen, S.Y.,
Chen, C.C.A.[Chih-Chi-Ang],
Fan, K.C.,
Segmentation of Human Body Parts Using Deformable Triangulation,
SMC-A(40), No. 3, May 2010, pp. 596-610.
IEEE DOI
1003
BibRef
Chen, C.C.A.[Chih-Chi-Ang],
Hsieh, J.W.[Jun-Wei],
Hsu, Y.T.[Yung-Tai],
Huang, C.Y.[Chuan-Yu],
Segmentation of Human Body Parts Using Deformable Triangulation 2,
ICPR06(I: 355-358).
IEEE DOI
0609
BibRef
Yan, J.,
Shen, S.,
Li, Y.,
Liu, Y.,
An Optimization Based Framework for Human Pose Estimation,
SPLetters(17), No. 8, August 2010, pp. 766-769.
IEEE DOI
1007
BibRef
Wachs, J.P.[Juan P.],
Kölsch, M.[Mathias],
Goshorn, D.[Deborah],
Human posture recognition for intelligent vehicles,
RealTimeIP(5), No. 4, December 2010, pp. 231-244.
WWW Link.
1101
BibRef
Earlier: A3, A1, A2:
The Multi-level Learning and Classification of Multi-class Parts-Based
Representations of U.S. Marine Postures,
CIARP09(505-512).
Springer DOI
0911
BibRef
Kuo, P.[Paul],
Makris, D.[Dimitrios],
Nebel, J.C.[Jean-Christophe],
Integration of bottom-up/top-down approaches for 2D pose estimation
using probabilistic Gaussian modelling,
CVIU(115), No. 2, February 2011, pp. 242-255.
Elsevier DOI
1102
Human body pose estimation; Stochastic clustering; Gaussian mixture
modelling; Pattern classification; Object recognition; Confidence
measure; Ground truth
BibRef
Lewandowski, M.[Michal],
Makris, D.[Dimitrios],
Nebel, J.C.[Jean-Christophe],
Automatic configuration of spectral dimensionality reduction methods
for 3D human pose estimation,
VS09(1314-1321).
IEEE DOI
0910
BibRef
Kuo, P.[Paul],
Makris, D.[Dimitrios],
Megherbi, N.[Najla],
Nebel, J.C.[Jean-Christophe],
Integration of Local Image Cues for Probabilistic 2D Pose Recovery,
ISVC08(II: 214-223).
Springer DOI
0812
Fit 2-D human body model.
BibRef
Liu, Q.A.[Qi-Ang],
Li, H.L.[Hong-Liang],
Ngan, K.N.[King Ngi],
Automatic body segmentation with graph cut and self-adaptive
initialization level set (SAILS),
JVCIR(22), No. 5, July 2011, pp. 367-377.
Elsevier DOI
1106
Face detection; Motion estimation and compensation; Body segmentation;
Object segmentation; Graph cut; Level set; Background contrast
removal; Object detection
See also FaceSeg: Automatic Face Segmentation for Real-Time Video.
BibRef
Xie, F.,
Xu, G.,
Cheng, Y.,
Tian, Y.,
Human body and posture recognition system based on an improved thinning
algorithm,
IET-IPR(5), No. 5, 2011, pp. 420-428.
DOI Link
1108
BibRef
Chen, S.S.[Shou-Shun],
Akselrod, P.[Polina],
Zhao, B.[Bo],
Perez-Carrasco, J.A.[Jose Antonio],
Linares-Barranco, B.[Bernabe],
Culurciello, E.[Eugenio],
Efficient Feedforward Categorization of Objects and Human Postures with
Address-Event Image Sensors,
PAMI(34), No. 2, February 2012, pp. 302-314.
IEEE DOI
1112
Line feature models.
See also NeuFlow: A runtime reconfigurable dataflow processor for vision.
BibRef
Sigal, L.[Leonid],
Isard, M.[Michael],
Haussecker, H.W.[Horst W.],
Black, M.J.[Michael J.],
Loose-limbed People: Estimating 3D Human Pose and Motion Using
Non-parametric Belief Propagation,
IJCV(98), No. 1, May 2012, pp. 15-48.
WWW Link.
1204
BibRef
Balan, A.O.[Alexandru O.],
Black, M.J.[Michael J.],
Haussecker, H.W.[Horst W.],
Sigal, L.[Leonid],
Shining a Light on Human Pose:
On Shadows, Shading and the Estimation of Pose and Shape,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Brubaker, M.A.[Marcus A.],
Sigal, L.[Leonid],
Fleet, D.J.[David J.],
Estimating Contact Dynamics,
ICCV09(2389-2396).
IEEE DOI
PDF File.
0909
Body pose.
BibRef
Pourdamghani, N.[Nima],
Rabiee, H.R.[Hamid R.],
Faghri, F.[Fartash],
Rohban, M.H.[Mohammad Hossein],
Graph based semi-supervised human pose estimation:
When the output space comes to help,
PRL(33), No. 12, 1 September 2012, pp. 1529-1535.
Elsevier DOI
1208
Human pose estimation; Graph based; Semi-supervised; Manifold
regularization
BibRef
Pourdamghani, N.[Nima],
Rabiee, H.R.[Hamid R.],
Zolfaghari, M.[Mohammadreza],
Metric learning for graph based semi-supervised human pose estimation,
ICPR12(3386-3389).
WWW Link.
1302
BibRef
Li, S.F.[Shi-Feng],
Lu, H.C.[Hu-Chuan],
Ruan, X.[Xiang],
Chen, Y.W.[Yen-Wei],
Human body segmentation based on independent component analysis with
reference at two-scale superpixel,
IET-IPR(6), No. 6, 2012, pp. 770-777.
DOI Link
1210
BibRef
Earlier:
Pose estimation and body segmentation based on hierarchical searching
tree,
ICIP11(1289-1292).
IEEE DOI
1201
BibRef
Li, S.F.[Shi-Feng],
Yao, M.[Meng],
Lu, H.C.[Hu-Chuan],
Human Body Segmentation in a Static Image with On-Line Adaboost at
Multiscale Superpixels,
IJIG(12), No. 3, July 2012, pp. 1250018.
DOI Link
1210
BibRef
Tian, Y.[Yan],
Sigal, L.[Leonid],
de la Torre, F.[Fernando],
Jia, Y.H.[Yong-Hua],
Canonical locality preserving Latent Variable Model for discriminative
pose inference,
IVC(31), No. 3, March 2013, pp. 223-230.
Elsevier DOI
1303
Human pose estimation; Gaussian Mixture Regression; Latent Variable
Model; Discriminative Model
BibRef
Tian, Y.[Yan],
Jia, Y.H.[Yong-Hua],
Shi, Y.[Yuan],
Liu, Y.[Yong],
Ji, H.[Hao],
Sigal, L.[Leonid],
Inferring 3D body pose using variational semi-parametric regression,
ICIP11(29-32).
IEEE DOI
1201
BibRef
Yang, Y.[Yang],
Saleemi, I.,
Shah, M.,
Discovering Motion Primitives for Unsupervised Grouping and
One-Shot Learning of Human Actions, Gestures, and Expressions,
PAMI(35), No. 7, 2013, pp. 1635-1648.
IEEE DOI
PDF File. gesture recognition; hidden Markov models; human actions;
optical flow; facial expressions
BibRef
1300
Lu, H.,
Shao, X.,
Xiao, Y.,
Pose Estimation With Segmentation Consistency,
IP(22), No. 10, 2013, pp. 4040-4048.
IEEE DOI
1309
Human Segmentation
BibRef
Fergie, M.[Martin],
Galata, A.[Aphrodite],
Mixtures of Gaussian process models for human pose estimation,
IVC(31), No. 12, 2013, pp. 949-957.
Elsevier DOI
1312
BibRef
Earlier:
Dynamical Pose Filtering for Mixtures of Gaussian Processes,
BMVC12(7).
DOI Link
1301
BibRef
Earlier:
Local Gaussian Processes for Pose Recognition from Noisy Inputs,
BMVC10(xx-yy).
HTML Version.
1009
Computer vision
BibRef
Yamada, M.[Makoto],
Sigal, L.[Leonid],
Raptis, M.[Michalis],
Covariate Shift Adaptation for Discriminative 3D Pose Estimation,
PAMI(36), No. 2, February 2014, pp. 235-247.
IEEE DOI
1402
BibRef
Earlier:
No Bias Left behind:
Covariate Shift Adaptation for Discriminative 3D Pose Estimation,
ECCV12(IV: 674-687).
Springer DOI
1210
Gaussian processes
BibRef
Babagholami-Mohamadabadi, B.,
Jourabloo, A.,
Zarghami, A.,
Kasaei, S.,
A Bayesian Framework for Sparse Representation-Based 3-D Human Pose
Estimation,
SPLetters(21), No. 3, March 2014, pp. 297-300.
IEEE DOI
1403
Bayes methods
BibRef
Ionescu, C.[Catalin],
Papava, D.,
Olaru, V.,
Sminchisescu, C.[Cristian],
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human
Sensing in Natural Environments,
PAMI(36), No. 7, July 2014, pp. 1325-1339.
IEEE DOI
1407
Cameras
BibRef
Ionescu, C.[Catalin],
Li, F.X.[Fu-Xin],
Sminchisescu, C.[Cristian],
Latent structured models for human pose estimation,
ICCV11(2220-2227).
IEEE DOI
1201
See also Structural SVM for visual localization and continuous state estimation.
BibRef
Cho, E.[Eunji],
Kim, D.J.[Dai-Jin],
Accurate Human Pose Estimation by Aggregating Multiple Pose
Hypotheses Using Modified Kernel Density Approximation,
SPLetters(22), No. 4, April 2015, pp. 445-449.
IEEE DOI
1411
pose estimation
BibRef
Li, S.F.[Shi-Feng],
Lu, H.C.[Hu-Chuan],
Shao, X.Q.[Xing-Qing],
Human Body Segmentation via Data-Driven Graph Cut,
Cyber(44), No. 11, November 2014, pp. 2099-2108.
IEEE DOI
1411
computer vision
BibRef
Chen, M.[Ming],
Tan, X.Y.[Xiao-Yang],
Part-based pose estimation with local and non-local contextual
information,
IET-CV(8), No. 6, 2014, pp. 475-486.
DOI Link
1502
optimisation.
part-based human pose estimation.
improve the accuracies for leaf parts locations.
BibRef
Li, S.J.[Si-Jin],
Liu, Z.Q.[Zhi-Qiang],
Chan, A.B.[Antoni B.],
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep
Convolutional Neural Network,
IJCV(113), No. 1, May 2015, pp. 19-36.
Springer DOI
1506
BibRef
Earlier:
DeepLearn14(488-495)
IEEE DOI
1409
BibRef
And: A1, A3, Only:
3D Human Pose Estimation from Monocular Images with Deep Convolutional
Neural Network,
ACCV14(II: 332-347).
Springer DOI
1504
deep learning; human pose estimation; multi-task learning
BibRef
Pons-Moll, G.[Gerard],
Taylor, J.[Jonathan],
Shotton, J.D.J.[Jamie D.J.],
Hertzmann, A.[Aaron],
Fitzgibbon, A.[Andrew],
Metric Regression Forests for Correspondence Estimation,
IJCV(113), No. 3, July 2015, pp. 163-175.
Springer DOI
1506
BibRef
Earlier:
Metric Regression Forests for Human Pose Estimation,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Taylor, J.[Jonathan],
Shotton, J.D.J.[Jamie D.J.],
Sharp, T.[Toby],
Fitzgibbon, A.[Andrew],
The Vitruvian manifold: Inferring dense correspondences for one-shot
human pose estimation,
CVPR12(103-110).
IEEE DOI
1208
BibRef
Xiao, Y.,
Lu, H.,
Sun, C.,
Pose Estimation Based on Pose Cluster and Candidates Recombination,
CirSysVideo(25), No. 6, June 2015, pp. 935-943.
IEEE DOI
1506
Biological system modeling
pose clustering and body-part candidates.
BibRef
Shen, M.[Minmin],
Li, C.[Chen],
Huang, W.[Wei],
Szyszka, P.[Paul],
Shirahama, K.[Kimiaki],
Grzegorzek, M.[Marcin],
Merhof, D.[Dorit],
Deussen, O.[Oliver],
Interactive tracking of insect posture,
PR(48), No. 11, 2015, pp. 3560-3571.
Elsevier DOI
1506
Multiple object tracking
BibRef
Gonzalez-Sosa, E.[Ester],
Vera-Rodriguez, R.[Ruben],
Fierrez, J.[Julian],
Moreno-Moreno, M.[Miriam],
Ortega-Garcia, J.[Javier],
Feature exploration for biometric recognition using millimetre wave
body images,
JIVP(2015), No. 1, 2015, pp. 30.
DOI Link
1509
BibRef
Earlier: A1, A2, A3, A5, Only:
Comparison of Body Shape Descriptors for Biometric Recognition Using
MMW Images,
ICPR14(124-129)
IEEE DOI
1412
Biomedical imaging
BibRef
Vera-Rodriguez, R.[Ruben],
Gonzalez-Sosa, E.[Ester],
Hernandez-Ortega, J.[Javier],
Fierrez, J.[Julian],
Body Shape-Based Biometric Person Recognition from mmW Images,
IbPRIA17(453-461).
Springer DOI
1706
BibRef
Liu, Z.[Zhao],
Zhu, J.[Jianke],
Bu, J.J.[Jia-Jun],
Chen, C.[Chun],
A survey of human pose estimation: The body parts parsing based
methods,
JVCIR(32), No. 1, 2015, pp. 10-19.
Elsevier DOI
1511
Human pose estimation
BibRef
Hong, C.Q.[Chao-Qun],
Yu, J.[Jun],
Wan, J.[Jian],
Tao, D.C.[Da-Cheng],
Wang, M.[Meng],
Multimodal Deep Autoencoder for Human Pose Recovery,
IP(24), No. 12, December 2015, pp. 5659-5670.
IEEE DOI
1512
backpropagation
BibRef
Dong, J.[Jian],
Chen, Q.A.[Qi-Ang],
Huang, Z.,
Yang, J.C.[Jian-Chao],
Yan, S.C.[Shui-Cheng],
Parsing Based on Parselets: A Unified Deformable Mixture Model for
Human Parsing,
PAMI(38), No. 1, January 2016, pp. 88-101.
IEEE DOI
1601
Deformable models
BibRef
Dong, J.[Jian],
Chen, Q.A.[Qi-Ang],
Shen, X.H.[Xiao-Hui],
Yang, J.C.[Jian-Chao],
Yan, S.C.[Shui-Cheng],
Towards Unified Human Parsing and Pose Estimation,
CVPR14(843-850)
IEEE DOI
1409
Human Parsing; Human Pose Estimation
BibRef
Tashiro, K.[Kazuhiro],
Kawamura, T.[Takahiro],
Sei, Y.[Yuichi],
Nakagawa, H.[Hiroyuki],
Tahara, Y.[Yasuyuki],
Ohsuga, A.[Akihiko],
Iterative Improvement of Human Pose Classification Using Guide Ontology,
IEICE(E99-D), No. 1, January 2016, pp. 236-247.
WWW Link.
1601
BibRef
Hernández-Vela, A.[Antonio],
Sclaroff, S.[Stan],
Escalera, S.[Sergio],
Poselet-Based Contextual Rescoring for Human Pose Estimation via
Pictorial Structures,
IJCV(118), No. 1, June 2016, pp. 49-64.
Springer DOI
1605
BibRef
Earlier: A1, A3, A2:
Contextual Rescoring for Human Pose Estimation,
BMVC14(xx-yy).
HTML Version.
1410
BibRef
Kang, X.[Xin],
Yau, W.P.[Wai-Pan],
Taylor, R.H.[Russell H.],
Simultaneous pose estimation and patient-specific model
reconstruction from single image using maximum penalized likelihood
estimation (MPLE),
PR(57), No. 1, 2016, pp. 61-69.
Elsevier DOI
1605
Pose estimation
BibRef
Unzueta, L.,
Aranjuelo, N.,
Goenetxea, J.,
Rodriguez, M.,
Linaza, M.T.,
Contextualised learning-free three-dimensional body pose estimation
from two-dimensional body features in monocular images,
IET-CV(10), No. 4, 2016, pp. 299-306.
DOI Link
1608
cameras
BibRef
Liu, H.L.[Hong-Lin],
Kong, D.H.[De-Hui],
Wang, S.F.[Shao-Fan],
Yin, B.C.[Bao-Cai],
Sparse Pose Regression via Componentwise Clustering Feature Point
Representation,
MultMed(18), No. 7, July 2016, pp. 1233-1244.
IEEE DOI
1608
feature extraction. 2D pose of human body from range image.
BibRef
Belagiannis, V.[Vasileios],
Amin, S.[Sikandar],
Andriluka, M.[Mykhaylo],
Schiele, B.[Bernt],
Navab, N.[Nassir],
Ilic, S.[Slobodan],
3D Pictorial Structures Revisited: Multiple Human Pose Estimation,
PAMI(38), No. 10, October 2016, pp. 1929-1942.
IEEE DOI
1609
BibRef
Earlier:
3D Pictorial Structures for Multiple Human Pose Estimation,
CVPR14(1669-1676)
IEEE DOI
1409
Biological system modeling
3D pose estimation;human pose estimation;pictorial structures
See also Discriminative Appearance Models for Pictorial Structures.
BibRef
Belagiannis, V.[Vasileios],
Wang, X.C.[Xin-Chao],
Schiele, B.[Bernt],
Fua, P.[Pascal],
Ilic, S.[Slobodan],
Navab, N.[Nassir],
Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial
Structures,
ChaLearn14(742-754).
Springer DOI
1504
BibRef
Amin, S.[Sikandar],
Andriluka, M.[Mykhaylo],
Rohrbach, M.[Marcus],
Schiele, B.[Bernt],
Multi-view Pictorial Structures for 3D Human Pose Estimation,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Pishchulin, L.[Leonid],
Andriluka, M.[Mykhaylo],
Gehler, P.[Peter],
Schiele, B.[Bernt],
Poselet Conditioned Pictorial Structures,
CVPR13(588-595)
IEEE DOI
1309
articulated pose estimation
BibRef
Pishchulin, L.[Leonid],
Wuhrer, S.[Stefanie],
Helten, T.[Thomas],
Theobalt, C.[Christian],
Schiele, B.[Bernt],
Building statistical shape spaces for 3D human modeling,
PR(67), No. 1, 2017, pp. 276-286.
Elsevier DOI
1704
Statistical human body model
BibRef
Sarafianos, N.[Nikolaos],
Boteanu, B.[Bogdan],
Ionescu, B.[Bogdan],
Kakadiaris, I.A.[Ioannis A.],
3D Human pose estimation:
A review of the literature and analysis of covariates,
CVIU(152), No. 1, 2016, pp. 1-20.
Elsevier DOI
1609
Survey, Human Pose. 3D Human pose estimation
BibRef
Wu, Y.,
Lu, T.,
Yuan, Z.,
Wang, H.,
FreeScup: A Novel Platform for Assisting Sculpture Pose Design,
MultMed(19), No. 1, January 2017, pp. 183-195.
IEEE DOI
1612
Image reconstruction
BibRef
Cho, J.C.[Jung-Chan],
Lee, M.[Minsik],
Oh, S.H.[Song-Hwai],
Single image 3D human pose estimation using a procrustean normal
distribution mixture model and model transformation,
CVIU(155), No. 1, 2017, pp. 150-161.
Elsevier DOI
1702
Human pose estimation
BibRef
Hara, K.[Kota],
Chellappa, R.[Rama],
Growing Regression Tree Forests by Classification for Continuous Object
Pose Estimation,
IJCV(122), No. 2, April 2017, pp. 292-312.
Springer DOI
1704
BibRef
Earlier:
Growing Regression Forests by Classification:
Applications to Object Pose Estimation,
ECCV14(II: 552-567).
Springer DOI
1408
BibRef
Earlier:
Computationally Efficient Regression on a Dependency Graph for Human
Pose Estimation,
CVPR13(3390-3397)
IEEE DOI
1309
Human Pose Estimation; Regression
BibRef
Jammalamadaka, N.[Nataraj],
Zisserman, A.[Andrew],
Jawahar, C.V.,
Human pose search using deep networks,
IVC(59), No. 1, 2017, pp. 31-43.
Elsevier DOI
1704
BibRef
Earlier:
Human pose search using deep poselets,
FG15(1-8)
IEEE DOI
1508
Pose retrieval.
image representation
BibRef
Zhu, H.[Hao],
Liu, Y.B.[Ye-Bin],
Fan, J.T.[Jing-Tao],
Dai, Q.H.[Qiong-Hai],
Cao, X.[Xun],
Video-Based Outdoor Human Reconstruction,
CirSysVideo(27), No. 4, April 2017, pp. 760-770.
IEEE DOI
1704
Cameras
BibRef
Han, F.[Fei],
Reily, B.[Brian],
Hoff, W.[William],
Zhang, H.[Hao],
Space-time representation of people based on 3D skeletal data:
A review,
CVIU(158), No. 1, 2017, pp. 85-105.
Elsevier DOI
1704
Human representation
BibRef
Nishi, K.,
Miura, J.,
Generation of human depth images with body part labels for complex
human pose recognition,
PR(71), No. 1, 2017, pp. 402-413.
Elsevier DOI
1707
Human, depth, image
BibRef
Atrevi, D.F.[Dieudonné Fabrice],
Vivet, D.[Damien],
Duculty, F.[Florent],
Emile, B.[Bruno],
A very simple framework for 3D human poses estimation using a single
2D image: Comparison of geometric moments descriptors,
PR(71), No. 1, 2017, pp. 389-401.
Elsevier DOI
1707
3D, Pose, estimation
BibRef
Safi, K.[Khaled],
Mohammed, S.[Samer],
Albertsen, I.M.[Inke Marie],
Delechelle, E.[Eric],
Amirat, Y.[Yacine],
Khalil, M.[Mohamad],
Gracies, J.M.[Jean-Michel],
Hutin, E.[Emilie],
Automatic analysis of human posture equilibrium using empirical mode
decomposition,
SIViP(11), No. 6, September 2017, pp. 1081-1088.
Springer DOI
1708
BibRef
Gouiaa, R.[Rafik],
Meunier, J.[Jean],
Learning cast shadow appearance for human posture recognition,
PRL(97), No. 1, 2017, pp. 54-60.
Elsevier DOI
1709
Cast shadows
BibRef
Zhang, S.,
McCullagh, P.,
Zheng, H.,
Nugent, C.,
Situation Awareness Inferred From Posture Transition and Location:
Derived From Smartphone and Smart home Sensors,
HMS(47), No. 6, December 2017, pp. 814-821.
IEEE DOI
1712
Accelerometers, Assisted living, Body sensor networks,
Context awareness, Radiofrequency identification, Smart homes,
wearable computers
BibRef
Azrour, S.[Samir],
Piérard, S.[Sébastien],
Geurts, P.[Pierre],
Van Droogenbroeck, M.[Marc],
A Two-Step Methodology for Human Pose Estimation Increasing the
Accuracy and Reducing the Amount of Learning Samples Dramatically,
ACIVS17(3-14).
Springer DOI
1712
BibRef
Guo, Y.[Yao],
Li, Y.F.[You-Fu],
Shao, Z.P.[Zhan-Peng],
RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition,
Cyber(48), No. 5, May 2018, pp. 1513-1525.
IEEE DOI
1804
Benchmark testing, Biological system modeling,
Matrix decomposition, Quaternions, Skeleton,
translational and rotational invariants
BibRef
Ning, G.,
Zhang, Z.,
He, Z.,
Knowledge-Guided Deep Fractal Neural Networks for Human Pose
Estimation,
MultMed(20), No. 5, May 2018, pp. 1246-1259.
IEEE DOI
1805
Biological system modeling, Fractals, Knowledge engineering,
Neural networks, Pose estimation, Training, Human pose estimation,
knowledge-guided learning
BibRef
Park, S.[Seyoung],
Nie, B.X.[Bruce Xiaohan],
Zhu, S.C.[Song-Chun],
Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and
Attributes,
PAMI(40), No. 7, July 2018, pp. 1555-1569.
IEEE DOI
1806
Geometry, Glass, Grammar, Head, Magnetic heads, Pose estimation,
Predictive models, And-Or grammar, Attribute grammar,
pose estimation
BibRef
Nie, B.X.,
Wei, P.,
Zhu, S.C.,
Monocular 3D Human Pose Estimation by Predicting Depth on Joints,
ICCV17(3467-3475)
IEEE DOI
1802
image motion analysis, pose estimation, recurrent neural nets,
2D human joint locations, HHOI dataset, Human3.6M dataset,
BibRef
Liang, G.Q.[Guo-Qiang],
Lan, X.G.[Xu-Guang],
Wang, J.[Jiang],
Wang, J.J.[Jian-Ji],
Zheng, N.N.[Nan-Ning],
A Limb-Based Graphical Model for Human Pose Estimation,
SMCS(48), No. 7, July 2018, pp. 1080-1092.
IEEE DOI
1806
BibRef
Earlier: A1, A2, A3, A5, Only:
Human pose estimation based on human limbs,
ICPR16(913-918)
IEEE DOI
1705
Elbow, Feature extraction, Graphical models, Joining processes,
Pose estimation, Shape, Visual systems,
limbs detection.
Adaptation models,
Heating systems, ConvNet, Graphical model.
BibRef
Petrov, I.[Ilia],
Shakhuro, V.[Vlad],
Konushin, A.[Anton],
Deep probabilistic human pose estimation,
IET-CV(12), No. 5, August 2018, pp. 578-585.
DOI Link
1807
BibRef
Rogez, G.[Grégory],
Schmid, C.[Cordelia],
Image-Based Synthesis for Deep 3D Human Pose Estimation,
IJCV(126), No. 9, September 2018, pp. 993-1008.
Springer DOI
1809
BibRef
Rogez, G.,
Weinzaepfel, P.,
Schmid, C.,
LCR-Net: Localization-Classification-Regression for Human Pose,
CVPR17(1216-1224)
IEEE DOI
1711
Computer architecture, Pose estimation, Proposals, Standards,
Training,
BibRef
Lim, J.[Jongin],
Yoo, Y.J.[Young-Joon],
Heo, B.[Byeongho],
Choi, J.Y.[Jin Young],
Pose transforming network: Learning to disentangle human posture in
variational auto-encoded latent space,
PRL(112), 2018, pp. 91-97.
Elsevier DOI
1809
Human pose transform,
Disentangle hidden factors in latent space, Generative model,
Variational auto-encoder
BibRef
Dong, L.,
Chen, X.,
Wang, R.,
Zhang, Q.,
Izquierdo, E.[Ebroul],
ADORE: An Adaptive Holons Representation Framework for Human Pose
Estimation,
CirSysVideo(28), No. 10, October 2018, pp. 2803-2813.
IEEE DOI
1811
Pose estimation, Detectors, Adaptation models, Training,
Computational modeling, Image color analysis, Pose estimation,
adaptivity
BibRef
Nie, X.,
Feng, J.,
Xing, J.,
Xiao, S.,
Yan, S.,
Hierarchical Contextual Refinement Networks for Human Pose Estimation,
IP(28), No. 2, February 2019, pp. 924-936.
IEEE DOI
1811
Pose estimation, Complexity theory, Heating systems,
Biological system modeling, Predictive models, Iterative methods,
hierarchical contextual refinement network
BibRef
Iqbal, U.[Umar],
Doering, A.[Andreas],
Yasin, H.[Hashim],
Krüger, B.[Björn],
Weber, A.[Andreas],
Gall, J.[Juergen],
A dual-source approach for 3D human pose estimation from single
images,
CVIU(172), 2018, pp. 37-49.
Elsevier DOI
1812
BibRef
Earlier: A2, A1, A4, A5, A6, Only:
A Dual-Source Approach for 3D Pose Estimation from a Single Image,
CVPR16(4948-4956)
IEEE DOI
1612
3D human pose estimation, Motion capture, 3D reconstruction,
Articulated pose estimation
BibRef
Liang, S.[Shuang],
Sun, X.[Xiao],
Wei, Y.C.[Yi-Chen],
Compositional Human Pose Regression,
CVIU(176-177), 2018, pp. 1-8.
Elsevier DOI
1812
BibRef
Sun, X.[Xiao],
Xiao, B.[Bin],
Wei, F.Y.[Fang-Yin],
Liang, S.[Shuang],
Wei, Y.C.[Yi-Chen],
Integral Human Pose Regression,
ECCV18(VI: 536-553).
Springer DOI
1810
BibRef
Heydari, M.J.[Muhamad Javad],
Ghidary, S.S.[Saeed Shiry],
Cross-modal motion regeneration using Multimodal Deep Belief Network,
JVCIR(58), 2019, pp. 245-260.
Elsevier DOI
1901
Multimodal Deep Belief Network. Learn generative 2D and 3D skeletal model.
Multimodal deep learning, Multimodal Deep Belief Network,
2D/3D recovery, Cross-modal motion regeneration, Visual correspondence
BibRef
Wang, S.,
Xin, Y.,
Kong, D.,
Yin, B.,
Unsupervised Learning of Human Pose Distance Metric via Sparsity
Locality Preserving Projections,
MultMed(21), No. 2, February 2019, pp. 314-327.
IEEE DOI
1902
Measurement, Robots, Resource management, Image recognition,
Databases, Learning systems, Skeleton, Pose similarity,
locality preserving projection
BibRef
Yang, J.J.[Jing-Jing],
Wan, L.[Lili],
Xu, W.[Wanru],
Wang, S.H.[Sheng-Hui],
3D human pose estimation from a single image via exemplar
augmentation,
JVCIR(59), 2019, pp. 371-379.
Elsevier DOI
1903
Human pose estimation, Human pose recovery, Exemplar-based,
Pose retrieval, Pose synthesis, Monocular
BibRef
Jiang, Y.,
Chi, Z.,
A CNN Model for Semantic Person Part Segmentation With Capacity
Optimization,
IP(28), No. 5, May 2019, pp. 2465-2478.
IEEE DOI
1903
computational complexity, convolutional neural nets,
image segmentation, learning (artificial intelligence),
capacity optimization
BibRef
Gilbert, A.[Andrew],
Trumble, M.[Matthew],
Hilton, A.[Adrian],
Collomosse, J.[John],
Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose
Estimation,
IJCV(127), No. 4, April 2019, pp. 381-397.
Springer DOI
1903
BibRef
Cha, G.[Geonho],
Lee, M.[Minsik],
Cho, J.C.[Jung-Chan],
Oh, S.H.[Song-Hwai],
Deep pose consensus networks,
CVIU(182), 2019, pp. 64-70.
Elsevier DOI
1905
3D human pose estimation,
Single-image-based 3D human pose estimation,
Multiple-partial-hypothesis-based scheme.
BibRef
Liu, S.,
Li, Y.,
Hua, G.,
Human Pose Estimation in Video via Structured Space Learning and
Halfway Temporal Evaluation,
CirSysVideo(29), No. 7, July 2019, pp. 2029-2038.
IEEE DOI
1907
Pose estimation, Streaming media, Maintenance engineering,
Convolution, Optimization methods, Human pose estimation,
structure learning
BibRef
Zhang, X.Y.[Xiao-Yan],
Tang, Z.H.[Zhen-Hua],
Hou, J.[Junhui],
Hao, Y.B.[Yan-Bin],
3D human pose estimation via human structure-aware fully connected
network,
PRL(125), 2019, pp. 404-410.
Elsevier DOI
1909
3D human pose estimation, Human structure, Fully connected network
BibRef
Liu, J.[Jian],
Rahmani, H.[Hossein],
Akhtar, N.[Naveed],
Mian, A.S.[Ajmal S.],
Learning Human Pose Models from Synthesized Data for Robust RGB-D
Action Recognition,
IJCV(127), No. 10, October 2019, pp. 1545-1564.
Springer DOI
1909
BibRef
Spurlock, S.,
Souvenir, R.,
Multimodal 3D Human Pose Estimation from a Single Image,
3DV19(663-670)
IEEE DOI
1806
Training,
Mutual information, Pose estimation, Solid modeling, CNN
BibRef
Chu, S.W.,
Song, Y.,
Zouo, J.J.,
Cai, W.,
Human Pose Estimation Using Deep Convolutional Densenet Hourglass
Network with Intermediate Points Voting,
ICIP19(594-598)
IEEE DOI
1910
Deep learning, convolution neural network, human pose estimation.
BibRef
Benzine, A.,
Luvison, B.,
Pham, Q.C.,
Achard, C.,
Deep, Robust and Single Shot 3D Multi-Person Human Pose Estimation
from Monocular Images,
ICIP19(584-588)
IEEE DOI
1910
multi-person, 3D, human, pose, estimation
BibRef
Neumann, L.[Luká],
Vedaldi, A.[Andrea],
Tiny People Pose,
ACCV18(III:558-574).
Springer DOI
1906
BibRef
Zhuang, W.L.[Wen-Lin],
Peng, C.[Cong],
Xia, S.[Siyu],
Wang, Y.G.[Yan-Gang],
Multi-scale Adaptive Structure Network for Human Pose Estimation from
Color Images,
ACCV18(I:643-658).
Springer DOI
1906
BibRef
Yoshiyasu, Y.[Yusuke],
Sagawa, R.[Ryusuke],
Ayusawa, K.[Ko],
Murai, A.[Akihiko],
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from
Single RGB Image,
ACCV18(IV:485-500).
Springer DOI
1906
BibRef
Pelka, O.[Obioma],
Nensa, F.[Felix],
Friedrich, C.M.[Christoph M.],
Optimizing Body Region Classification with Deep Convolutional
Activation Features,
WiCV-E18(IV:699-704).
Springer DOI
1905
BibRef
de Bem, R.[Rodrigo],
Ghosh, A.[Arnab],
Ajanthan, T.[Thalaiyasingam],
Miksik, O.[Ondrej],
Siddharth, N.,
Torr, P.H.S.[Philip H.S.],
A Semi-supervised Deep Generative Model for Human Body Analysis,
HBU18(II:500-517).
Springer DOI
1905
BibRef
Sayed, M.R.,
Sim, T.,
Lim, J.,
Ma, K.T.,
Which Body Is Mine?,
WACV19(829-838)
IEEE DOI
1904
anthropometry, convolutional neural nets, correlation methods,
image matching, pose estimation,
Image recognition
BibRef
Nibali, A.,
He, Z.,
Morgan, S.,
Prendergast, L.,
3D Human Pose Estimation With 2D Marginal Heatmaps,
WACV19(1477-1485)
IEEE DOI
1904
image colour analysis, inference mechanisms, neural nets,
pose estimation, statistical analysis, stereo image processing,
Solid modeling
BibRef
Polania, L.,
Fung, G.,
Wang, D.,
Ordinal Regression Using Noisy Pairwise Comparisons for Body Mass
Index Range Estimation,
WACV19(782-790)
IEEE DOI
1904
face recognition, image denoising, pattern classification,
regression analysis, search problems, Siamese architectures,
Search problems
BibRef
Wang, D.[Dan],
Sheng, Y.[Yun],
Zhang, G.[Gui_Xu],
A New Female Body Segmentation and Feature Localisation Method for
Image-Based Anthropometry,
MMMod19(I:567-577).
Springer DOI
1901
BibRef
Zhu, H.[Hao],
Su, H.[Hao],
Wang, P.[Peng],
Cao, X.[Xun],
Yang, R.G.[Rui-Gang],
View Extrapolation of Human Body from a Single Image,
CVPR18(4450-4459)
IEEE DOI
1812
Shape, Solid modeling,
Image generation, Geometry, Estimation
BibRef
Kanazawa, A.[Angjoo],
Black, M.J.,
Jacobs, D.W.,
Malik, J.,
End-to-End Recovery of Human Shape and Pose,
CVPR18(7122-7131)
IEEE DOI
1812
Shape,
Solid modeling, Joints, Biological system modeling, Estimation
BibRef
Luo, Y.[Yue],
Ren, J.[Jimmy],
Wang, Z.X.[Zhou-Xia],
Sun, W.X.[Wen-Xiu],
Pan, J.S.[Jin-Shan],
Pang, J.H.[Jia-Hao],
Lin, L.[Liang],
LSTM Pose Machines,
CVPR18(5207-5215)
IEEE DOI
1812
Videos, Pose estimation, Computational modeling,
Recurrent neural networks, Computer architecture, Benchmark testing
BibRef
Nie, X.,
Feng, J.,
Zuo, Y.,
Yan, S.,
Human Pose Estimation with Parsing Induced Learner,
CVPR18(2100-2108)
IEEE DOI
1812
Pose estimation, Adaptation models, Feature extraction,
Predictive models, Semantics, Task analysis, Benchmark testing
BibRef
Peng, X.,
Tang, Z.,
Yang, F.,
Feris, R.S.,
Metaxas, D.,
Jointly Optimize Data Augmentation and Network Training:
Adversarial Data Augmentation in Human Pose Estimation,
CVPR18(2226-2234)
IEEE DOI
1812
Training, Pose estimation, Generators, Neural networks,
Task analysis, Data models
BibRef
Fang, H.,
Lu, G.,
Fang, X.,
Xie, J.,
Tai, Y.,
Lu, C.,
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided
Knowledge Transfer,
CVPR18(70-78)
IEEE DOI
1812
Transforms, Computer vision, Pattern recognition,
Knowledge transfer, Image segmentation
BibRef
Pavlakos, G.,
Zhu, L.,
Zhou, X.,
Daniilidis, K.,
Learning to Estimate 3D Human Pose and Shape from a Single Color
Image,
CVPR18(459-468)
IEEE DOI
1812
Shape,
Training, Color, Estimation, Predictive models
BibRef
Mehta, D.,
Sotnychenko, O.,
Mueller, F.,
Xu, W.,
Sridhar, S.,
Pons-Moll, G.,
Theobalt, C.,
Single-Shot Multi-person 3D Pose Estimation from Monocular RGB,
3DV18(120-130)
IEEE DOI
1812
cameras, image colour analysis, inference mechanisms,
learning (artificial intelligence), pose estimation,
bottom up
BibRef
Omran, M.,
Lassner, C.,
Pons-Moll, G.,
Gehler, P.,
Schiele, B.,
Neural Body Fitting: Unifying Deep Learning and Model Based Human
Pose and Shape Estimation,
3DV18(484-494)
IEEE DOI
1812
feedforward neural nets, image representation,
image segmentation, learning (artificial intelligence),
model-based and learning-based human pose and shape estimation
BibRef
Saint, A.,
Ahmed, E.,
Shabayek, A.E.R.,
Cherenkova, K.,
Gusev, G.,
Aouada, D.,
Ottersten, B.,
3DBodyTex: Textured 3D Body Dataset,
3DV18(495-504)
IEEE DOI
1812
computer vision, image resolution, image texture, solid modelling,
textured 3D body dataset, static 3D body scans,
3D body scans
BibRef
Fieraru, M.,
Khoreva, A.,
Pishchulin, L.,
Schiele, B.,
Learning to Refine Human Pose Estimation,
Crowd18(318-31809)
IEEE DOI
1812
Pose estimation, Task analysis, Predictive models, Videos, Training,
Data models, Benchmark testing
BibRef
Andriluka, M.,
Iqbal, U.,
Insafutdinov, E.,
Pishchulin, L.,
Milan, A.,
Gall, J.,
Schiele, B.,
PoseTrack: A Benchmark for Human Pose Estimation and Tracking,
CVPR18(5167-5176)
IEEE DOI
1812
Pose estimation, Benchmark testing, Task analysis, Tracking,
Training, Video sequences, Sports
BibRef
Yang, W.,
Ouyang, W.,
Wang, X.,
Ren, J.,
Li, H.,
Wang, X.,
3D Human Pose Estimation in the Wild by Adversarial Learning,
CVPR18(5255-5264)
IEEE DOI
1812
Pose estimation, Generators, Heating systems, Joints, Task analysis
BibRef
Güler, R.A.,
Neverova, N.,
Kokkinos, I.,
DensePose: Dense Human Pose Estimation in the Wild,
CVPR18(7297-7306)
IEEE DOI
1812
Pose estimation, Task analysis,
Solid modeling, Training, Pipelines, Deformable models
BibRef
Pavlakos, G.,
Zhou, X.,
Daniilidis, K.,
Ordinal Depth Supervision for 3D Human Pose Estimation,
CVPR18(7307-7316)
IEEE DOI
1812
Training,
Image reconstruction, Pose estimation, Hip, Benchmark testing
BibRef
Nie, X.C.[Xue-Cheng],
Feng, J.[Jiashi],
Yan, S.C.[Shui-Cheng],
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation,
ECCV18(VI: 519-534).
Springer DOI
1810
BibRef
Chen, Y.T.[Yu-Ting],
Chang, W.Y.[Wen-Yen],
Lu, H.L.[Hai-Lun],
Wu, T.F.[Ting-Fan],
Sun, M.[Min],
Leveraging Motion Priors in Videos for Improving Human Segmentation,
ECCV18(VII: 228-244).
Springer DOI
1810
BibRef
Varol, G.[Gül],
Ceylan, D.[Duygu],
Russell, B.[Bryan],
Yang, J.[Jimei],
Yumer, E.[Ersin],
Laptev, I.[Ivan],
Schmid, C.[Cordelia],
BodyNet: Volumetric Inference of 3D Human Body Shapes,
ECCV18(VII: 20-38).
Springer DOI
1810
BibRef
Tang, W.[Wei],
Yu, P.[Pei],
Wu, Y.[Ying],
Deeply Learned Compositional Models for Human Pose Estimation,
ECCV18(III: 197-214).
Springer DOI
1810
BibRef
Chen, Q.,
Zhang, C.,
Liu, W.,
Wang, D.,
SHPD: Surveillance Human Pose Dataset and Performance Evaluation for
Coarse-Grained Pose Estimation,
ICIP18(4088-4092)
IEEE DOI
1809
Surveillance, Pose estimation, Cameras, Lighting, Benchmark testing,
Task analysis, Performance evaluation, pose estimation,
global-pose
BibRef
Hu, H.M.[Hui-Min],
Bai, Y.H.[Ya-Hui],
Li, Y.X.[Yin-Xia],
Wu, H.M.[Hai-Mei],
Luo, L.[Ling],
Wang, R.[Rui],
Hong, P.[Pu],
Research on Ergonomics Design of the Height and Operation Force for
Furniture Lockset,
DHM18(64-74).
Springer DOI
1807
BibRef
Friemert, D.[Daniel],
Saala, F.[Florian],
Hartmann, U.[Ulrich],
Ellegast, R.[Rolf],
Similarities and Differences in Posture During Simulated Order Picking
in Real Life and Virtual Reality,
DHM18(41-53).
Springer DOI
1807
BibRef
McLaughlin, N.[Niall],
Martinez del Rincon, J.[Jesus],
Refining the Pose: Training and Use of Deep Recurrent Autoencoders for
Improving Human Pose Estimation,
AMDO18(11-23).
Springer DOI
1807
BibRef
Rafi, U.[Umer],
Leibe, B.[Bastian],
Gall, J.[Juergen],
Kostrikov, I.[Ilya],
An Efficient Convolutional Network for Human Pose Estimation,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Shabayek, A.E.[A. El_Rahman],
Aouada, D.,
Saint, A.,
Ottersten, B.,
Deformation transfer of 3D human shapes and poses on manifolds,
ICIP17(220-224)
IEEE DOI
1803
Computational modeling, Deformable models, Indexes, Manifolds, Shape,
Strain, Deformation transfer,
shape modeling
BibRef
Yang, Z.,
Luo, J.,
Personalized pose estimation for body language understanding,
ICIP17(126-130)
IEEE DOI
1803
Heating systems, Pose estimation, Reliability, Task analysis, Videos,
Visualization, Wrist, Body Parts Tracking,
Pose Estimation
BibRef
Tekin, B.,
Sinha, S.N.,
Fua, P.,
Real-Time Seamless Single Shot 6D Object Pose Prediction,
CVPR18(292-301)
IEEE DOI
1812
Pose estimation, Solid modeling, Task analysis, Computer architecture
BibRef
Tekin, B.,
Márquez-Neila, P.,
Salzmann, M.,
Fua, P.,
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose
Estimation,
ICCV17(3961-3970)
IEEE DOI
1802
image fusion, learning (artificial intelligence),
motion estimation, pose estimation, 2D joint locations,
BibRef
Ronchi, M.R.[Matteo Ruggero],
Perona, P.[Pietro],
Benchmarking and Error Diagnosis in Multi-instance Pose Estimation,
ICCV17(369-378)
IEEE DOI
1802
computer vision, estimation theory,
learning (artificial intelligence), pose estimation, Wrist
BibRef
Wang, H.,
Liang, W.,
Yu, L.F.,
Transferring Objects: Joint Inference of Container and Human Pose,
ICCV17(2952-2960)
IEEE DOI
1802
computer vision, inference mechanisms,
learning (artificial intelligence), pose estimation,
BibRef
Liu, B.,
Ferrari, V.,
Active Learning for Human Pose Estimation,
ICCV17(4373-4382)
IEEE DOI
1802
learning (artificial intelligence), pose estimation,
active learning framework, active learning process,
Uncertainty
BibRef
Sun, K.,
Lan, C.,
Xing, J.,
Zeng, W.,
Liu, D.,
Wang, J.,
Human Pose Estimation Using Global and Local Normalization,
ICCV17(5600-5608)
IEEE DOI
1802
convolution, learning (artificial intelligence), neural nets,
pose estimation, articulated pose estimation,
Wrist
BibRef
Chen, Y.,
Shen, C.,
Wei, X.S.,
Liu, L.,
Yang, J.,
Adversarial PoseNet: A Structure-Aware Convolutional Network for
Human Pose Estimation,
ICCV17(1221-1230)
IEEE DOI
1802
feedforward neural nets, learning (artificial intelligence),
pose estimation, Adversarial PoseNet,
Training
BibRef
Yang, W.,
Li, S.,
Ouyang, W.L.[Wan-Li],
Li, H.,
Wang, X.G.[Xiao-Gang],
Learning Feature Pyramids for Human Pose Estimation,
ICCV17(1290-1299)
IEEE DOI
1802
computer vision, convolution, feature extraction,
image classification, image representation,
Visualization
BibRef
Sciortino, G.[Giuseppa],
Farinella, G.M.[Giovanni Maria],
Battiato, S.[Sebastiano],
Leo, M.[Marco],
Distante, C.[Cosimo],
On the Estimation of Children's Poses,
CIAP17(II:410-421).
Springer DOI
1711
BibRef
Tome, D.[Denis],
Russell, C.[Chris],
Agapito, L.[Lourdes],
Lifting from the Deep:
Convolutional 3D Pose Estimation from a Single Image,
CVPR17(5689-5698)
IEEE DOI
1711
Single RGB image.
Data models, Pose estimation, Predictive models,
Probabilistic logic, Solid modeling
BibRef
Song, J.[Jie],
Wang, L.[Limin],
Van Gool, L.J.[Luc J.],
Hilliges, O.[Otmar],
Thin-Slicing Network:
A Deep Structured Model for Pose Estimation in Videos,
CVPR17(5563-5572)
IEEE DOI
1711
Heating systems, Image edge detection, Message passing,
Pose estimation, Solid modeling, Video sequences, Videos
BibRef
Lassner, C.,
Romero, J.,
Kiefel, M.,
Bogo, F.,
Black, M.J.,
Gehler, P.V.,
Unite the People: Closing the Loop Between 3D and 2D Human
Representations,
CVPR17(4704-4713)
IEEE DOI
1711
Computational modeling, Image segmentation, Shape, Solid modeling
BibRef
Popa, A.I.,
Zanfir, M.,
Sminchisescu, C.,
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing,
CVPR17(4714-4723)
IEEE DOI
1711
Biological system modeling, Pose estimation, Semantics,
Solid modeling, Training, Two,
dimensional, displays
BibRef
Zhang, C.,
Pujades, S.,
Black, M.,
Pons-Moll, G.,
Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan
Sequences,
CVPR17(5484-5493)
IEEE DOI
1711
Clothing, Deformable models, Estimation, Numerical models, Shape,
Strain,
BibRef
Tanabe, S.[Satoshi],
Yamanaka, R.[Ryosuke],
Tomono, M.[Mitsuru],
Ito, M.[Makiko],
Ishihara, T.[Teruo],
Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded
with Multi-task Learning,
CAIP17(II: 241-252).
Springer DOI
1708
BibRef
Handrich, S.,
Al-Hamadi, A.,
Localizing body joints from single depth images using geodetic
distances and random tree walk,
ICIP17(146-150)
IEEE DOI
1803
Pose estimation, Regression tree analysis, Skeleton,
Training,
Random Tree Walk
BibRef
Handrich, S.,
Al-Hamadi, A.,
Lilienblum, E.,
Liu, Z.,
Human bodypart classification using geodesic descriptors and random
forests,
MVA17(318-321)
DOI Link
1708
Cameras, Feature extraction, Solid modeling,
Training data, Vegetation
BibRef
Marras, I.[Ioannis],
Palasek, P.[Petar],
Patras, I.[Ioannis],
Deep Mixture of MRFs for Human Pose Estimation,
ACCV18(III:717-733).
Springer DOI
1906
BibRef
And:
Deep Globally Constrained MRFs for Human Pose Estimation,
ICCV17(3486-3495)
IEEE DOI
1802
BibRef
Earlier:
Deep Refinement Convolutional Networks for Human Pose Estimation,
FG17(446-453)
IEEE DOI
1707
Markov processes, convolution, neural net architecture,
pose estimation, random processes, ConvNet, Markov Random Field.
Adaptation models, Data models,
Heating systems, Image resolution, Pose estimation
BibRef
Ismail, H.,
Radwan, I.,
Suominen, H.,
Waddington, G.,
Goecke, R.,
Human Postural Sway Estimation from Noisy Observations,
FG17(454-461)
IEEE DOI
1707
Cameras, Feature extraction, Foot, Force, Legged locomotion,
Tracking
BibRef
Belagiannis, V.,
Zisserman, A.,
Recurrent Human Pose Estimation,
FG17(468-475)
IEEE DOI
1707
Context, Context modeling, Convolution, Detectors, Heating systems,
Predictive models, Training
BibRef
Ai, B.,
Zhou, Y.[Yu],
Yu, Y.[Yao],
Du, S.[Sidan],
Human Pose Estimation Using Deep Structure Guided Learning,
WACV17(1224-1231)
IEEE DOI
1609
Biological system modeling, Computer vision, Feature extraction,
Heating systems, Kernel, Neural networks, Pose, estimation
See also Markerless Motion Capture of Human Body Using PSO with Single Depth Camera.
BibRef
Farrajota, M.,
Rodrigues, J.M.F.[Joăo M.F.],
du Buf, J.M.H.[J.M. Hans],
Human Pose Estimation by a Series of Residual Auto-Encoders,
IbPRIA17(131-139).
Springer DOI
1706
BibRef
Sarafianos, N.,
Nikou, C.,
Kakadiaris, I.A.,
Predicting privileged information for height estimation,
ICPR16(3115-3120)
IEEE DOI
1705
Biometrics (access control), Estimation, Length measurement,
Prediction algorithms, Predictive models,
Support vector machines, Training
BibRef
Wei, K.Q.[Kai-Qiang],
Zhao, X.[Xu],
Multiple-Branches Faster RCNN for Human Parts Detection and Pose
Estimation,
BEST16(III: 453-462).
Springer DOI
1704
BibRef
Ni, S.C.[Shou-Cheng],
Liu, W.W.[Wei-Wei],
Cheng, H.[Hao],
Zhang, C.Y.[Chong-Yang],
Visually Similar K-poselets Based Human Pose Recognition,
BEST16(III: 426-440).
Springer DOI
1704
BibRef
Brau, E.,
Jiang, H.,
3D Human Pose Estimation via Deep Learning from 2D Annotations,
3DV16(582-591)
IEEE DOI
1701
cameras
BibRef
Chen, W.,
Wang, H.,
Li, Y.,
Su, H.,
Wang, Z.,
Tu, C.,
Lischinski, D.,
Cohen-Or, D.,
Chen, B.,
Synthesizing Training Images for Boosting Human 3D Pose Estimation,
3DV16(479-488)
IEEE DOI
1701
convolution
BibRef
Ghezelghieh, M.F.,
Kasturi, R.,
Sarkar, S.,
Learning Camera Viewpoint Using CNN to Improve 3D Body Pose
Estimation,
3DV16(685-693)
IEEE DOI
1701
cameras
BibRef
Kwak, S.[Suha],
Cho, M.S.[Min-Su],
Laptev, I.[Ivan],
Thin-Slicing for Pose:
Learning to Understand Pose without Explicit Pose Estimation,
CVPR16(4938-4947)
IEEE DOI
1612
BibRef
Tekin, B.,
Rozantsev, A.,
Lepetit, V.,
Fua, P.,
Direct Prediction of 3D Body Poses from Motion Compensated Sequences,
CVPR16(991-1000)
IEEE DOI
1612
BibRef
Sun, X.[Xiao],
Shang, J.,
Liang, S.,
Wei, Y.C.[Yi-Chen],
Compositional Human Pose Regression,
ICCV17(2621-2630)
IEEE DOI
1802
Gaussian processes, bone, computer vision, image motion analysis,
pose estimation, regression analysis, stereo image processing,
BibRef
Zhou, X.Y.[Xing-Yi],
Sun, X.[Xiao],
Zhang, W.[Wei],
Liang, S.[Shuang],
Wei, Y.C.[Yi-Chen],
Deep Kinematic Pose Regression,
DeepLearn16(III: 186-201).
Springer DOI
1611
BibRef
Dibra, E.[Endri],
Jain, H.,
Öztireli, C.[Cengiz],
Ziegler, R.[Remo],
Gross, M.[Markus],
Human Shape from Silhouettes Using Generative HKS Descriptors and
Cross-Modal Neural Networks,
CVPR17(5504-5514)
IEEE DOI
1711
BibRef
Earlier:
HS-Nets: Estimating Human Body Shape from Silhouettes with
Convolutional Neural Networks,
3DV16(108-117)
IEEE DOI
1701
Neural networks, Shape, Solid modeling, Strain,
Training.
clothing
BibRef
Dibra, E.[Endri],
Öztireli, C.[Cengiz],
Ziegler, R.[Remo],
Gross, M.[Markus],
Shape from Selfies:
Human Body Shape Estimation Using CCA Regression Forests,
ECCV16(IV: 88-104).
Springer DOI
1611
BibRef
Trumble, M.[Matthew],
Gilbert, A.[Andrew],
Hilton, A.[Adrian],
Collomosse, J.[John],
Deep Autoencoder for Combined Human Pose Estimation and Body Model
Upscaling,
ECCV18(X: 800-816).
Springer DOI
1810
BibRef
Earlier:
Learning Markerless Human Pose Estimation from Multiple Viewpoint Video,
VARVAI16(III: 871-878).
Springer DOI
1611
BibRef
Bogo, F.[Federica],
Kanazawa, A.[Angjoo],
Lassner, C.[Christoph],
Gehler, P.V.[Peter V.],
Romero, J.[Javier],
Black, M.J.[Michael J.],
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a
Single Image,
ECCV16(V: 561-578).
Springer DOI
1611
BibRef
Lifshitz, I.[Ita],
Fetaya, E.[Ethan],
Ullman, S.[Shimon],
Human Pose Estimation Using Deep Consensus Voting,
ECCV16(II: 246-260).
Springer DOI
1611
BibRef
Jung, H.Y.[Ho Yub],
Suh, Y.[Yumin],
Moon, G.[Gyeongsik],
Lee, K.M.[Kyoung Mu],
A Sequential Approach to 3D Human Pose Estimation:
Separation of Localization and Identification of Body Joints,
ECCV16(V: 747-761).
Springer DOI
1611
BibRef
Newell, A.[Alejandro],
Yang, K.[Kaiyu],
Deng, J.[Jia],
Stacked Hourglass Networks for Human Pose Estimation,
ECCV16(VIII: 483-499).
Springer DOI
1611
BibRef
Bulat, A.[Adrian],
Tzimiropoulos, G.[Georgios],
Human Pose Estimation via Convolutional Part Heatmap Regression,
ECCV16(VII: 717-732).
Springer DOI
1611
See also Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources.
BibRef
Guo, C.,
Ruan, S.,
Liang, X.,
A strong bilayer appearance model for human pose estimation from a
high freedom still image,
ICIP16(1284-1288)
IEEE DOI
1610
Benchmark testing
BibRef
Carreira, J.[Joao],
Agrawal, P.,
Fragkiadaki, K.[Katerina],
Malik, J.[Jitendra],
Human Pose Estimation with Iterative Error Feedback,
CVPR16(4733-4742)
IEEE DOI
1612
BibRef
Fragkiadaki, K.[Katerina],
Levine, S.[Sergey],
Felsen, P.[Panna],
Malik, J.[Jitendra],
Recurrent Network Models for Human Dynamics,
ICCV15(4346-4354)
IEEE DOI
1602
Body pose, video, motion capture.
Decoding
BibRef
Xu, Z.Y.[Zong-Yi],
Zhang, Q.[Qianni],
Symmetry-Aware Human Shape Correspondence Using Skeleton,
MMMod16(I: 632-641).
Springer DOI
1601
BibRef
Liu, H.[Hong],
Ma, L.[Liqian],
Online person orientation estimation based on classifier update,
ICIP15(1568-1572)
IEEE DOI
1512
Multi-class classification
BibRef
Mao, W.T.[Wen-Tao],
Wang, Q.A.[Qi-Ang],
Wang, X.T.[Xiao-Tao],
Guo, P.[Ping],
Wang, S.D.[Shan-Dong],
Shao, G.Q.[Guang-Qi],
Lee, K.[Kyoobin],
Park, P.K.J.[Paul K.J.],
Real-time human body parts localization from dynamic vision sensor,
ICIP15(4783-4787)
IEEE DOI
1512
BibRef
Wang, L.[Lei],
Zhao, X.[Xu],
Liu, Y.C.[Yun-Cai],
Adaptive appearance learning for human pose estimation,
ICIP15(1125-1129)
IEEE DOI
1512
BibRef
Shi, Q.X.[Qing-Xuan],
Di, H.J.[Hui-Jun],
Lu, Y.[Yao],
Lv, F.[Feng],
Human pose estimation with global motion cues,
ICIP15(442-446)
IEEE DOI
1512
Pose estimation; global motion estimation; pose detection
BibRef
Romero, J.[Javier],
Loper, M.[Matthew],
Black, M.J.[Michael J.],
FlowCap: 2D Human Pose from Optical Flow,
GCPR15(412-423).
Springer DOI
1511
BibRef
Singh, S.[Saurabh],
Hoiem, D.[Derek],
Forsyth, D.A.[David A.],
Learning a sequential search for landmarks,
CVPR15(3422-3430)
IEEE DOI
1510
humans or birds.
BibRef
Tompson, J.[Jonathan],
Goroshin, R.[Ross],
Jain, A.[Arjun],
Le Cun, Y.L.[Yann L.],
Bregler, C.[Christoph],
Efficient object localization using Convolutional Networks,
CVPR15(648-656)
IEEE DOI
1510
BibRef
Jain, A.[Arjun],
Tompson, J.[Jonathan],
Le Cun, Y.L.[Yann L.],
Bregler, C.[Christoph],
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose
Estimation,
ACCV14(II: 302-315).
Springer DOI
1504
BibRef
Jung, H.Y.[Ho Yub],
Lee, S.[Soochahn],
Heo, Y.S.[Yong Seok],
Yun, I.D.[Il Dong],
Random tree walk toward instantaneous 3D human pose estimation,
CVPR15(2467-2474)
IEEE DOI
1510
BibRef
Fan, X.C.[Xiao-Chuan],
Zheng, K.[Kang],
Lin, Y.W.[Yue-Wei],
Wang, S.[Song],
Combining local appearance and holistic view:
Dual-Source Deep Neural Networks for human pose estimation,
CVPR15(1347-1355)
IEEE DOI
1510
BibRef
Akhter, I.[Ijaz],
Black, M.J.[Michael J.],
Pose-conditioned joint angle limits for 3D human pose reconstruction,
CVPR15(1446-1455)
IEEE DOI
1510
BibRef
Zakharov, A.A.,
Barinov, A.E.,
Zhiznyakov, A.L.,
Recognition of Human Pose from Images Based on Graph Spectra,
PTVSBB15(9-12).
DOI Link
1508
BibRef
Du, Y.H.[Yong-Hui],
Huang, Y.[Yan],
Peng, J.L.[Jing-Liang],
Full-Body Human Pose Estimation from Monocular Video Sequence via
Multi-dimensional Boosting Regression,
HIS14(531-544).
Springer DOI
1504
BibRef
Shen, W.[Wei],
Lei, R.[Rui],
Zeng, D.[Dan],
Zhang, Z.J.[Zhi-Jiang],
Regularity Guaranteed Human Pose Correction,
ACCV14(II: 242-256).
Springer DOI
1504
BibRef
Puertas, E.,
Bautista, M.Á.[Miguel Ángel],
Sanchez, D.,
Escalera, S.[Sergio],
Pujol, O.[Oriol],
Learning to Segment Humans by Stacking Their Body Parts,
ChaLearn14(685-697).
Springer DOI
1504
BibRef
Tsatsoulis, P.D.[P. Daphne],
Forsyth, D.A.[David A.],
Easy Minimax Estimation with Random Forests for Human Pose Estimation,
ChaLearn14(669-684).
Springer DOI
1504
BibRef
Yoo, B.I.[Byung In],
Kim, W.J.[Won-Jun],
Han, J.J.[Jae-Joon],
Choi, C.K.[Chang-Kyu],
Park, D.[Dusik],
Kim, J.[Junmo],
Randomized decision bush: Combining global shape parameters and local
scalable descriptors for human body parts recognition,
ICIP14(1560-1564)
IEEE DOI
1502
Accuracy
BibRef
Heili, A.[Alexandre],
Varadarajan, J.[Jagannadan],
Ghanem, B.[Bernard],
Ahuja, N.[Narendra],
Odobez, J.M.[Jean-Marc],
Improving head and body pose estimation through semi-supervised
manifold alignment,
ICIP14(1912-1916)
IEEE DOI
1502
Couplings
BibRef
Khalid, A.R.[Abdul Rafay],
Hassan, A.[Ali],
Taj, M.[Murtaza],
Efficient 2D human pose estimation using mean-shift,
ICIP14(3387-3391)
IEEE DOI
1502
Estimation
BibRef
Xia, D.X.[Dao-Xun],
Su, S.Z.[Song-Zhi],
Li, S.Z.[Shao-Zi],
Jodoin, P.M.[Pierre-Marc],
Lying-pose detection with training dataset expansion,
ICIP14(3377-3381)
IEEE DOI
1502
Cameras
BibRef
Nair, B.M.[Binu M.],
Kendricks, K.D.[Kimberly D.],
Asari, V.K.[Vijayan K.],
Tuttle, R.F.[Ronald F.],
Body Joint Tracking in Low Resolution Video Using Region-Based
Filtering,
ISVC14(I: 619-628).
Springer DOI
1501
BibRef
Zhang, Z.X.[Zhao-Xiang],
Hao, J.L.[Jian-Liang],
Wang, Y.H.[Yun-Hong],
Zhao, Y.H.[Yu-Hang],
Enhanced Human Parsing with Multiple Feature Fusion and Augmented
Pose Model,
ICPR14(369-374)
IEEE DOI
1412
Biological system modeling
BibRef
Zerrouki, N.,
Houacine, A.,
Automatic Classification of Human Body Postures Based on Curvelet
Transform,
ICIAR14(I: 329-337).
Springer DOI
1410
BibRef
Chen, X.J.[Xian-Jie],
Mottaghi, R.[Roozbeh],
Liu, X.B.[Xiao-Bai],
Fidler, S.[Sanja],
Urtasun, R.[Raquel],
Yuille, A.L.[Alan L.],
Detect What You Can: Detecting and Representing Objects Using
Holistic Models and Body Parts,
CVPR14(1979-1986)
IEEE DOI
1409
Humans, animals
BibRef
Perbet, F.[Frank],
Johnson, S.[Sam],
Pham, M.T.[Minh-Tri],
Stenger, B.[Bjorn],
Human Body Shape Estimation Using a Multi-resolution Manifold Forest,
CVPR14(668-675)
IEEE DOI
1409
3D shape estimation;human body fitting;manifold charting
BibRef
Ionescu, C.[Catalin],
Carreira, J.[Joao],
Sminchisescu, C.[Cristian],
Iterated Second-Order Label Sensitive Pooling for 3D Human Pose
Estimation,
CVPR14(1661-1668)
IEEE DOI
1409
BibRef
Wang, C.Y.[Chun-Yu],
Wang, Y.Z.[Yi-Zhou],
Lin, Z.C.[Zhou-Chen],
Yuille, A.L.[Alan L.],
Gao, W.[Wen],
Robust Estimation of 3D Human Poses from a Single Image,
CVPR14(2369-2376)
IEEE DOI
1409
3D human pose estimation
BibRef
Cherian, A.[Anoop],
Mairal, J.[Julien],
Alahari, K.[Karteek],
Schmid, C.[Cordelia],
Mixing Body-Part Sequences for Human Pose Estimation,
CVPR14(2361-2368)
IEEE DOI
1409
Human pose estimation
BibRef
Ghiasi, G.[Golnaz],
Yang, Y.[Yi],
Ramanan, D.[Deva],
Fowlkes, C.C.[Charless C.],
Parsing Occluded People,
CVPR14(2401-2408)
IEEE DOI
1409
Object Detection; Occlusion; Pose Estimation
BibRef
Kiefel, M.[Martin],
Gehler, P.V.[Peter Vincent],
Human Pose Estimation with Fields of Parts,
ECCV14(V: 331-346).
Springer DOI
1408
BibRef
Fan, X.C.[Xiao-Chuan],
Zheng, K.[Kang],
Zhou, Y.[Youjie],
Wang, S.[Song],
Pose Locality Constrained Representation for 3D Human Pose
Reconstruction,
ECCV14(I: 174-188).
Springer DOI
1408
BibRef
Dong, J.[Jian],
Chen, Q.A.[Qi-Ang],
Xia, W.[Wei],
Huang, Z.Y.[Zhong-Yang],
Yan, S.C.[Shui-Cheng],
A Deformable Mixture Parsing Model with Parselets,
ICCV13(3408-3415)
IEEE DOI
1403
BibRef
Andriluka, M.[Mykhaylo],
Pishchulin, L.[Leonid],
Gehler, P.[Peter],
Schiele, B.[Bernt],
2D Human Pose Estimation: New Benchmark and State of the Art Analysis,
CVPR14(3686-3693)
IEEE DOI
1409
BibRef
Earlier: A2, A1, A3, A4:
Strong Appearance and Expressive Spatial Models for Human Pose
Estimation,
ICCV13(3487-3494)
IEEE DOI
1403
human pose estimation; performance evaluation
BibRef
Lehrmann, A.M.[Andreas M.],
Gehler, P.V.[Peter V.],
Nowozin, S.[Sebastian],
A Non-parametric Bayesian Network Prior of Human Pose,
ICCV13(1281-1288)
IEEE DOI
1403
Bayesian network
BibRef
Radwan, I.[Ibrahim],
Dhall, A.[Abhinav],
Goecke, R.[Roland],
Monocular Image 3D Human Pose Estimation under Self-Occlusion,
ICCV13(1888-1895)
IEEE DOI
1403
3D pose reconstruction; pose estimation; self-occlusion
BibRef
Burgos-Artizzu, X.[Xavier],
Hall, D.[David],
Perona, P.[Pietro],
Dollar, P.[Piotr],
Merging Pose Estimates Across Space and Time,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Chen, Y.P.[Yin-Peng],
Liu, Z.C.[Zi-Cheng],
Zhang, Z.Y.[Zheng-You],
Tensor-Based Human Body Modeling,
CVPR13(105-112)
IEEE DOI
1309
Human Body Modeling; Tensor Decomposition
BibRef
Wang, F.[Fang],
Li, Y.[Yi],
Beyond Physical Connections: Tree Models in Human Pose Estimation,
CVPR13(596-603)
IEEE DOI
1309
graphical model; human pose estimation; object recognition
BibRef
Joo, J.[Jungseock],
Wang, S.[Shuo],
Zhu, S.C.[Song-Chun],
Human Attribute Recognition by Rich Appearance Dictionary,
ICCV13(721-728)
IEEE DOI
1403
Fine-grained Recognition; Human Attribute; Weakly-Supervised Learning
BibRef
Ladicky, L.[Lubor],
Torr, P.H.S.[Philip H.S.],
Zisserman, A.[Andrew],
Human Pose Estimation Using a Joint Pixel-wise and Part-wise
Formulation,
CVPR13(3578-3585)
IEEE DOI
1309
Conditional Random Fields; Pictorial Structures; Pose Estimation
BibRef
Marcos-Ramiro, A.,
Pizarro-Perez, D.,
Marron-Romera, M.,
Nguyen, L.,
Gatica-Perez, D.[Daniel],
Body communicative cue extraction for conversational analysis,
FG13(1-8)
IEEE DOI
1309
feature extraction. Non-verbal communication. Gestures, etc.
BibRef
Nodari, A.[Angelo],
Vanetti, M.[Marco],
Gallo, I.[Ignazio],
Visual Attribute Extraction Using Human Pose Estimation,
IbPRIA13(350-357).
Springer DOI
1307
BibRef
Duan, K.[Kun],
Batra, D.[Dhruv],
Crandall, D.[David],
A Multi-layer Composite Model for Human Pose Estimation,
BMVC12(116).
DOI Link
1301
BibRef
Rauschert, I.[Ingmar],
Collins, R.T.[Robert T.],
A Generative Model for Simultaneous Estimation of Human Body Shape and
Pixel-Level Segmentation,
ECCV12(V: 704-717).
Springer DOI
1210
BibRef
Jammalamadaka, N.[Nataraj],
Zisserman, A.[Andrew],
Eichner, M.[Marcin],
Ferrari, V.[Vittorio],
Jawahar, C.V.,
Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators,
ECCV12(III: 114-128).
Springer DOI
1210
BibRef
Tian, Y.D.[Yuan-Dong],
Zitnick, C.L.[C. Lawrence],
Narasimhan, S.G.[Srinivasa G.],
Exploring the Spatial Hierarchy of Mixture Models for Human Pose
Estimation,
ECCV12(V: 256-269).
Springer DOI
1210
See also Globally Optimal Estimation of Nonrigid Image Distortion.
BibRef
Oh, C.M.[Chi-Min],
Lee, Y.C.[Yong-Cheol],
Bae, K.T.[Ki-Tae],
Lee, C.W.[Chil-Woo],
Adaptive Exemplar-based Particle Filter for 2d Human Pose Estimation,
ISVC12(II: 609-615).
Springer DOI
1209
BibRef
Sun, M.[Min],
Telaprolu, M.[Murali],
Lee, H.L.[Hong-Lak],
Savarese, S.[Silvio],
An efficient branch-and-bound algorithm for optimal human pose
estimation,
CVPR12(1616-1623).
IEEE DOI
1208
BibRef
Simo-Serra, E.[Edgar],
Quattoni, A.[Ariadna],
Torras, C.[Carme],
Moreno-Noguer, F.[Francesc],
A Joint Model for 2D and 3D Pose Estimation from a Single Image,
CVPR13(3634-3641)
IEEE DOI
1309
BibRef
Moreno-Noguer, F.[Francesc],
3D Human Pose Estimation from a Single Image via Distance Matrix
Regression,
CVPR17(1561-1570)
IEEE DOI
1711
Detectors, Euclidean distance, Pose estimation, Shape,
Training,
BibRef
Simo-Serra, E.,
Ramisa, A.,
Alenya, G.,
Torras, C.[Carme],
Moreno-Noguer, F.[Francesc],
Single image 3D human pose estimation from noisy observations,
CVPR12(2673-2680).
IEEE DOI
1208
BibRef
Sun, M.[Min],
Kohli, P.[Pushmeet],
Shotton, J.J.D.[Jamie J.D.],
Conditional regression forests for human pose estimation,
CVPR12(3394-3401).
IEEE DOI
1208
BibRef
Souvenir, R.[Richard],
Hajja, A.[Ayman],
Spurlock, S.[Scott],
Gamesourcing to acquire labeled human pose estimation data,
CVCG12(1-6).
IEEE DOI
1207
BibRef
Akhtar, S.,
Ahmad, A.R.,
Abdel-Rahman, E.M.,
A Metaheuristic Bat-Inspired Algorithm for Full Body Human Pose
Estimation,
CRV12(369-375).
IEEE DOI
1207
BibRef
Gong, W.J.[Wen-Juan],
Brauer, J.[Jurgen],
Arens, M.[Michael],
Gonzalez, J.[Jordi],
Modeling vs. learning approaches for monocular 3D human pose estimation,
PEAction11(1287-1294).
IEEE DOI
1201
BibRef
And: A2, A1, A4, A3:
On the effect of temporal information on monocular 3d human pose
estimation,
ARTEMIS11(906-913).
IEEE DOI
1201
See also Voting Strategies for Anatomical Landmark Localization Using the Implicit Shape Model.
BibRef
Holt, B.[Brian],
Ong, E.J.[Eng-Jon],
Bowden, R.[Richard],
Accurate static pose estimation combining direct regression and
geodesic extrema,
FG13(1-7)
IEEE DOI
1309
differential geometry
BibRef
Holt, B.[Brian],
Ong, E.J.[Eng-Jon],
Cooper, H.[Helen],
Bowden, R.[Richard],
Putting the pieces together:
Connected Poselets for human pose estimation,
ConDepth11(1196-1201).
IEEE DOI
1201
BibRef
Chen, K.[Ke],
Gong, S.G.[Shao-Gang],
Xiang, T.[Tao],
Human Pose Estimation Using Structural Support Vector Machines,
SISM11(846-851).
IEEE DOI
1201
See also Support Vector Machine Based Multi-View Face Detection and Recognition.
BibRef
Mishra, G.,
Saini, S.,
Varanasi, K.,
Narayanan, P.J.,
Human Shape Capture and Tracking at Home,
WACV18(390-399)
IEEE DOI
1806
cameras, clothing, computer vision, image colour analysis,
image motion analysis, image texture, object tracking,
Tracking
BibRef
Richter, M.[Michal],
Varanasi, K.[Kiran],
Hasler, N.[Nils],
Theobalt, C.[Christian],
Real-Time Reshaping of Humans,
3DIMPVT12(340-347).
IEEE DOI
1212
BibRef
Müller, J.[Jürgen],
Arens, M.[Michael],
Human pose estimation with implicit shape models,
ARTEMIS10(9-14).
DOI Link
1111
BibRef
Peng, E.[En],
Li, L.[Ling],
Acquisition of 3-D surface shape of human body from monocular images
without pose estimation,
ICARCV12(1136-1141).
IEEE DOI
1304
BibRef
Earlier:
Acquiring human skeleton proportions from monocular images without
posture estimation,
ICARCV08(2250-2255).
IEEE DOI
1109
The description, not the pose.
BibRef
Xi, P.C.[Peng-Cheng],
Guo, H.Y.[Hong-Yu],
Shu, C.[Chang],
Human Body Shape Prediction and Analysis Using Predictive Clustering
Tree,
3DIMPVT11(196-203).
IEEE DOI
1109
BibRef
Han, H.[Hong],
Tong, M.L.[Ming-Lei],
Gou, J.X.[Jing-Xiang],
Wang, R.[Rui],
Feng, G.J.[Guang-Jie],
Discriminative Human Pose Estimation Based on the Bandelet2 Image
Descriptor,
ICIG11(679-684).
IEEE DOI
1109
BibRef
Wang, Y.[Yang],
Tran, D.[Duan],
Liao, Z.C.[Zi-Cheng],
Learning hierarchical poselets for human parsing,
CVPR11(1705-1712).
IEEE DOI
1106
BibRef
Wang, H.[Huayan],
Koller, D.[Daphne],
Multi-level inference by relaxed dual decomposition for human pose
segmentation,
CVPR11(2433-2440).
IEEE DOI
1106
BibRef
Hara, K.[Kota],
Kurokawa, T.[Takaharu],
Human pose estimation using patch-based candidate generation and
model-based verification,
FG11(687-693).
IEEE DOI
1103
BibRef
Hara, K.[Kota],
Real-time inference of 3D human poses by assembling local patches,
WACV09(1-8).
IEEE DOI
0912
BibRef
Park, J.H.[Jung-Hwa],
Karungaru, S.[Stephen],
Terada, K.[Kenji],
Recognition of a person's state using FG Vision Sensor,
FCV11(1-4).
IEEE DOI
1102
3-D sensor.
BibRef
Su, Y.C.[Yan-Chao],
Ai, H.Z.[Hai-Zhou],
Yamashita, T.[Takayoshi],
Lao, S.H.[Shi-Hong],
Human Pose Estimation Using Exemplars and Part Based Refinement,
ACCV10(II: 174-185).
Springer DOI
1011
See also Multi-View Face Alignment Using 3D Shape Model for View Estimation.
BibRef
Park, A.[Anjin],
Jung, K.C.[Kee-Chul],
Human Pose Recognition Using Chamfer Distance in Reduced Background
Edge for Human-Robot Interaction,
ISVC10(II: 726-735).
Springer DOI
1011
BibRef
Flitti, F.,
Bennamoun, M.,
Huynh, D.Q.,
Owens, R.A.,
Probabilistic human pose recovery from 2D images,
ICIP10(1517-1520).
IEEE DOI
1009
BibRef
Fihl, P.,
Moeslund, T.B.,
Pose Estimation of Interacting People using Pictorial Structures,
AVSS10(462-468).
IEEE DOI
1009
BibRef
Ke, S.R.[Shian-Ru],
Zhu, L.J.[Liang-Jia],
Hwang, J.N.[Jenq-Neng],
Pai, H.I.[Hung-I],
Lan, K.M.[Kung-Ming],
Liao, C.P.[Chih-Pin],
Real-Time 3D Human Pose Estimation from Monocular View with
Applications to Event Detection and Video Gaming,
AVSS10(489-496).
IEEE DOI
1009
BibRef
Hur, D.C.[Dong-Cheol],
Wallraven, C.[Christian],
Lee, S.W.[Seong-Whan],
View Invariant Body Pose Estimation Based on Biased Manifold Learning,
ICPR10(3866-3869).
IEEE DOI
1008
BibRef
Wang, Y.K.[Yuan-Kai],
Cheng, K.Y.[Kuang-You],
3D Human Pose Estimation by an Annealed Two-Stage Inference Method,
ICPR10(535-538).
IEEE DOI
1008
BibRef
Boughorbel, S.[Sabri],
Bruekers, F.[Fons],
Breebaart, J.[Jeroen],
Baby-Posture Classification from Pressure-Sensor Data,
ICPR10(556-559).
IEEE DOI
1008
BibRef
Sapp, B.[Benjamin],
Weiss, D.[David],
Taskar, B.[Ben],
Parsing human motion with stretchable models,
CVPR11(1281-1288).
IEEE DOI
1106
BibRef
Sapp, B.[Ben],
Taskar, B.[Ben],
MODEC: Multimodal Decomposable Models for Human Pose Estimation,
CVPR13(3674-3681)
IEEE DOI
1309
BibRef
Singh, V.K.[Vivek Kumar],
Nevatia, R.[Ram],
Huang, C.[Chang],
Efficient Inference with Multiple Heterogeneous Part Detectors for
Human Pose Estimation,
ECCV10(III: 314-327).
Springer DOI
1009
See also Action recognition in cluttered dynamic scenes using Pose-Specific Part Models.
BibRef
Singh, V.K.[Vivek Kumar],
Khan, F.M.[Furqan Muhammad],
Nevatia, R.[Ram],
Multiple pose context trees for estimating human pose in object context,
SMiCV10(17-24).
IEEE DOI
1006
See also Simultaneous inference of activity, pose and object.
BibRef
Huang, J.B.[Jia-Bin],
Yang, M.H.[Ming-Hsuan],
Estimating Human Pose from Occluded Images,
ACCV09(I: 48-60).
Springer DOI
0909
BibRef
Guo, W.W.[Wei-Wei],
Patras, I.[Ioannis],
Learning Output-kernel-dependent Regression for Human Pose Estimation,
BMVCWS10(xx-yy).
HTML Version.
1009
BibRef
Earlier:
Discriminative 3D human pose estimation from monocular images via
topological preserving hierarchical affinity clustering,
S3DV09(9-15).
IEEE DOI
0910
BibRef
Pehlivan, S.[Selen],
Duygulu, P.[Pinar],
3D human pose search using oriented cylinders,
S3DV09(16-22).
IEEE DOI
0910
BibRef
Shahbudin, S.,
Hussain, A.,
El-Shafie, A.[Ahmed],
Tahir, N.M.,
Samad, S.A.,
Adaptive-Neuro Fuzzy Inference System for Human Posture Classification
Using a Simplified Shock Graph,
IVIC09(585-595).
Springer DOI
0911
BibRef
Cheng, P.[Peng],
Li, W.Q.[Wan-Qing],
Ogunbona, P.[Philip],
Kernel PCA of HOG features for posture detection,
IVCNZ09(415-420).
IEEE DOI
0911
See also Head pose estimation based on extended non-negative matrix factorization.
BibRef
Ben Abdelkader, C.[Chiraz],
Yacoob, Y.[Yaser],
Statistical body height estimation from a single image,
FG08(1-7).
IEEE DOI
0809
BibRef
Chen, Y.[Yan],
Wu, Q.A.[Qi-Ang],
He, X.J.[Xiang-Jian],
Du, C.H.[Chun-Hua],
Yang, J.[Jie],
Extracting key postures using radon transform,
IVCNZ08(1-5).
IEEE DOI
0811
BibRef
Onishi, K.[Katsunori],
Takiguchi, T.[Tetsuya],
Ariki, Y.[Yasuo],
3D human posture estimation using the HoG features from monocular image,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Kamiya, K.[Kazuhiro],
Kudo, M.[Mineichi],
Nonaka, H.[Hidetoshi],
Toyama, J.[Jun],
Sitting posture analysis by pressure sensors,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Aubry, M.[Matthieu],
Julliard, F.[Frédéric],
Gibet, S.[Sylvie],
The Ergonomic Analysis of the Workplace of Physically Disabled
Individuals,
GW07(255-260).
Springer DOI
0705
BibRef
Jeanne, V.[Vincent],
Unay, D.[Devrim],
Jacquet, V.[Vincent],
Automatic detection of body parts in x-ray images,
MMBIA09(25-30).
IEEE DOI
0906
BibRef
Baranda, J.[Jorge],
Jeanne, V.[Vincent],
Braspenning, R.[Ralph],
Efficiency improvement of human body detection with histograms of
oriented gradients,
ICDSC08(1-9).
IEEE DOI
0809
BibRef
Bandouch, J.,
Engstler, F.,
Beetz, M.,
Evaluation of Hierarchical Sampling Strategies in 3D Human Pose
Estimation,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Daubney, B.[Ben],
Xie, X.H.[Xiang-Hua],
Entropy Driven Hierarchical Search for 3D Human Pose Estimation,
BMVC11(xx-yy).
HTML Version.
1110
BibRef
Earlier:
Estimating 3D Human Pose from Single Images Using Iterative Refinement
of the Prior,
ICPR10(3440-3443).
IEEE DOI
1008
BibRef
And:
Estimating 3D Pose via Stochastic Search and Expectation Maximization,
AMDO10(67-77).
Springer DOI
1007
BibRef
Urtasun, R.[Raquel],
Darrell, T.J.[Trevor J.],
Sparse probabilistic regression for activity-independent human pose
inference,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Gupta, A.[Abhinav],
Chen, T.[Trista],
Chen, F.[Francine],
Kimber, D.[Don],
Davis, L.S.[Larry S.],
Context and observation driven latent variable model for human pose
estimation,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Zhu, L.L.[Long Leo],
Chen, Y.H.[Yuan-Hao],
Lu, Y.F.[Yi-Fei],
Lin, C.X.[Chen-Xi],
Yuille, A.L.[Alan L.],
Max Margin AND/OR Graph learning for parsing the human body,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Liu, X.M.[Xiao-Ming],
Yu, T.[Ting],
Sebastian, T.[Thomas],
Tu, P.H.[Peter H.],
Boosted deformable model for human body alignment,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Walther, T.[Thomas],
Würtz, R.P.[Rolf P.],
Learning Generic Human Body Models,
AMDO10(98-107).
Springer DOI
1007
BibRef
Earlier:
Learning to Look at Humans: What Are the Parts of a Moving Body?,
AMDO08(xx-yy).
Springer DOI
0807
BibRef
Wang, Y.[Yi],
Qian, G.[Gang],
Robust Human Pose Recognition Using Unlabelled Markers,
WACV08(1-7).
IEEE DOI
0801
BibRef
Morita, S.[Satoru],
Generating Body Surface Deformation Using Level Set Method,
AMFG07(84-95).
Springer DOI
0710
BibRef
Srinivasan, P.[Praveen],
Shi, J.B.[Jian-Bo],
Bottom-Up Recognition and Parsing of the Human Body,
CVPR07(1-8).
IEEE DOI
0706
BibRef
And:
EMMCVPR07(153-168).
Springer DOI
0708
BibRef
Pham, Q.C.[Quoc-Cuong],
Gond, L.[Laetitia],
Begard, J.[Julien],
Allezard, N.[Nicolas],
Sayd, P.[Patrick],
Real-Time Posture Analysis in a Crowd using Thermal Imaging,
VS07(1-8).
IEEE DOI
0706
BibRef
Okada, R.[Ryuzo],
Soatto, S.[Stefano],
Relevant Feature Selection for Human Pose Estimation and Localization
in Cluttered Images,
ECCV08(II: 434-445).
Springer DOI
0810
See also Hybrid Dynamical Models of Human Motion for the Recognition of Human Gaits.
BibRef
Menier, C.[Clement],
Boyer, E.[Edmond],
Raffin, B.[Bruno],
3D Skeleton-Based Body Pose Recovery,
3DPVT06(389-396).
IEEE DOI
0606
BibRef
Robertson, C.,
Trucco, E.,
Human Body Posture via Hierarchical Evolutionary Optimization,
BMVC06(III:999).
PDF File.
0609
BibRef
Chen, Y.P.[Yin-Peng],
Sundaram, H.[Hari],
James, J.[Jodi],
Estimating the Physical Effort of Human Poses,
CIVR06(487-490).
Springer DOI
0607
BibRef
Navaratnam, R.[Ramanan],
Fitzgibbon, A.W.[Andrew W.],
Cipolla, R.[Roberto],
The Joint Manifold Model for Semi-supervised Multi-valued Regression,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Navaratnam, R.[Ramanan],
Fitzgibbon, A.W.[Andrew W.],
Semi-supervised Learning of Joint Density Models for Human Pose
Estimation,
BMVC06(II:79).
PDF File.
0609
BibRef
Navaratnam, R.,
Thayananthan, A.,
Torr, P.H.S.,
Cipolla, R.,
Hierarchical Part-Based Human Body Pose Estimation,
BMVC05(xx-yy).
HTML Version.
0509
See also Model-Based Hand Tracking Using a Hierarchical Bayesian Filter.
BibRef
Castiello, C.,
d'Orazio, T.,
Fanelli, A.M.,
Spagnolo, P.,
Torsello, M.A.,
A model-free approach for posture classification,
AVSBS05(276-281).
IEEE DOI
0602
BibRef
Girondel, V.,
Caplier, A.,
Bonnaud, L.,
A belief theory-based static posture recognition system for real-time
video surveillance applications,
AVSBS05(10-15).
IEEE DOI
0602
BibRef
Lan, X.Y.[Xiang-Yang],
Huttenlocher, D.P.[Daniel P.],
Beyond Trees: Common-Factor Models for 2D Human Pose Recovery,
ICCV05(I: 470-477).
IEEE DOI
0510
BibRef
Rosenhahn, B.[Bodo],
He, L.[Lei],
Klette, R.[Reinhard],
Automatic Human Model Generation,
CAIP05(41).
Springer DOI
0509
BibRef
Rosenhahn, B.[Bodo],
Klette, R.[Reinhard],
Geometric Algebra for Pose Estimation and Surface Morphing in Human
Motion Estimation,
IWCIA04(583-596).
Springer DOI
0505
BibRef
Hua, G.[Gang],
Yang, M.H.[Ming-Hsuan],
Wu, Y.[Ying],
Learning to Estimate Human Pose with Data Driven Belief Propagation,
CVPR05(II: 747-754).
IEEE DOI
0507
BibRef
Nakajima, C.,
Posture recognition of nuclear power plant operators by supervised
learning,
ICIP04(II: 877-880).
IEEE DOI
0505
BibRef
Mota, S.[Selene], and
Picard, R.W.[Rosalind W.],
Automated Posture Analysis for detecting Learner's Interest Level,
Vismod-TR574, June 2003
HTML Version.
BibRef
0306
Shakhnarovich, G.[Gregory],
Viola, P.A.[Paul A.],
Darrell, T.J.[Trevor J.],
Fast Pose Estimation with Parameter-Sensitive Hashing,
ICCV03(750-757).
IEEE DOI
0311
BibRef
And:
MIT AIMAIM-2003-009, April 18, 2003.
WWW Link. learns a set of hashing functions that efficiently index examples relevant
to a particular estimation task.
0306
BibRef
Iwai, Y.[Yoshio],
Manjoh, K.[Keita],
Yachida, M.[Masahiko],
Gesture and Posture Estimation by Using Locally Linear Regression,
AMDO02(177 ff.).
Springer DOI
0303
BibRef
Iwai, Y.,
Ogaki, K.,
Yachida, M.,
Posture Estimation using Structure and Motion Models,
ICCV99(214-219).
IEEE DOI
BibRef
9900
Azimi-Sadjadi, M.R.,
Consistency and coupling in human model likelihoods,
AFGR02(22-27).
IEEE DOI
0206
BibRef
Demirdjian, D.[David],
Urtasun, R.[Raquel],
Patch-Based Pose Inference with a Mixture of Density Estimators,
AMFG07(96-108).
Springer DOI
0710
BibRef
Njĺstad, J.,
Grinaker, S.,
Storhaug, G.A.,
Estimating Parameters in a 2 1/2 D human model,
SCIA99(Computer Vision I).
BibRef
9900
Hu, C.B.[Chang-Bo],
Yu, Q.F.[Qing-Feng],
Li, Y.[Yi],
Ma, S.D.[Song-De],
Extraction of parametric human model for posture recognition using
genetic algorithm,
AFGR00(518-523).
IEEE DOI
0003
BibRef
Li, Y.[Yi],
Ma, S.D.[Song-De],
Lu, H.Q.[Han-Qing],
Human Posture Recognition Using Multi-Scale Morphological Method
and Kalman Motion Estimation,
ICPR98(Vol I: 175-177).
IEEE DOI
9808
BibRef
And:
A Multi-Scale Morphological Method for Human Posture Recognition,
AFGR98(56-61).
IEEE DOI
BibRef
Koutamanis, A.,
Mitossi, V.,
On the Recognition of Posture,
ICPR92(I:542-545).
IEEE DOI
BibRef
9200
Nurre, J.H.,
Segmenting Human Body Data,
3DIM97(11 - Human Shape Modeling)
9702
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Multi-Person Human Pose Desicriptions .