21.4 Gesture and Pose Analysis

21.4.1 Human Posture, or Human Pose, Human Body Pose

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

Dantone, M.[Matthias], Gall, J.[Juergen], Leistner, C.[Christian], Van Gool, L.J.[Luc J.],
Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images,
PAMI(36), No. 11, November 2014, pp. 2131-2143.
IEEE DOI 1410
BibRef
Earlier:
Human Pose Estimation Using Body Parts Dependent Joint Regressors,
CVPR13(3041-3048)
IEEE DOI 1309
Accuracy. human pose estimation; joint regressor; random forest BibRef

Iqbal, U.[Umar], Garbade, M., Gall, J.[Juergen],
Pose for Action-Action for Pose,
FG17(438-445)
IEEE DOI 1707
Computational modeling, Feature extraction, Pose estimation, Three-dimensional displays, Two dimensional displays, Vegetation, Videos BibRef

Iqbal, U.[Umar], Milan, A., Gall, J.[Juergen],
PoseTrack: Joint Multi-person Pose Estimation and Tracking,
CVPR17(4654-4663)
IEEE DOI 1711
BibRef
Earlier: A1, A3, Only:
Multi-person Pose Estimation with Local Joint-to-Person Associations,
Crowd16(II: 627-642).
Springer DOI 1611
Benchmark testing, Detectors, Image edge detection, Pose estimation, Tracking, Trajectory, Videos 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

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

Fang, H.S., Xie, S., Tai, Y.W., Lu, C.,
RMPE: Regional Multi-person Pose Estimation,
ICCV17(2353-2362)
IEEE DOI 1802
feature extraction, object detection, pose estimation, MPII dataset, Parametric Pose NonMaximum-Suppression, Training 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

Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.,
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields,
CVPR17(1302-1310)
IEEE DOI 1711
Benchmark testing, Computer architecture, Detectors, Pose estimation, Runtime, Training, BibRef

Papandreou, G., Zhu, T., Kanazawa, N., Toshev, A., Tompson, J., Bregler, C., Murphy, K.,
Towards Accurate Multi-person Pose Estimation in the Wild,
CVPR17(3711-3719)
IEEE DOI 1711
Detectors, Heating systems, Measurement, Neural networks, Pose estimation, Proposals 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

Xia, F., Wang, P., Chen, X., Yuille, A.L.,
Joint Multi-person Pose Estimation and Semantic Part Segmentation,
CVPR17(6080-6089)
IEEE DOI 1711
Complexity theory, Graphical models, Image segmentation, Pose estimation, Semantics, Shape 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

Chu, X., Yang, W., Ouyang, W., Ma, C., Yuille, A.L., Wang, X.,
Multi-context Attention for Human Pose Estimation,
CVPR17(5669-5678)
IEEE DOI 1711
Biological system modeling, Convolutional codes, Correlation, Pose estimation, Semantics, Visualization 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, Three-dimensional displays, Training data, Two dimensional displays, Vegetation BibRef

Marras, I., Palasek, P., Patras, I.,
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, Three-dimensional displays, 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.[João 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

Liang, G.Q.[Guo-Qiang], Lan, X.G.[Xu-Guang], Wang, J.[Jiang], Zheng, N.N.[Nan-Ning],
Human pose estimation based on human limbs,
ICPR16(913-918)
IEEE DOI 1705
Adaptation models, Elbow, Feature extraction, Graphical models, Heating systems, Pose estimation, Shape, ConvNet, Graphical model, Human Pose estimation, Limbs, Detection 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

Yasin, H.[Hashim], Iqbal, U.[Umar], Krüger, B.[Björn], Weber, A.[Andreas], Gall, J.[Juergen],
A Dual-Source Approach for 3D Pose Estimation from a Single Image,
CVPR16(4948-4956)
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

Pishchulin, L.[Leonid], Insafutdinov, E.[Eldar], Tang, S., Andres, B.[Bjoern], Andriluka, M.[Mykhaylo], Gehler, P., Schiele, B.[Bernt],
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,
CVPR16(4929-4937)
IEEE DOI 1612
BibRef

Insafutdinov, E.[Eldar], Pishchulin, L.[Leonid], Andres, B.[Bjoern], Andriluka, M.[Mykhaylo], Schiele, B.[Bernt],
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model,
ECCV16(VI: 34-50).
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],
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
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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
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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
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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
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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
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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
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Navaratnam, R., Thayananthan, A., Torr, P.H.S., Cipolla, R.,
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BMVC05(xx-yy).
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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
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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
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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
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Njåstad, 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
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And:
A Multi-Scale Morphological Method for Human Posture Recognition,
AFGR98(56-61).
IEEE DOI BibRef

Koutamanis, A., Mitossi, V.,
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ICPR92(I:542-545).
IEEE DOI BibRef 9200

Nurre, J.H.,
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3DIM97(11 - Human Shape Modeling) 9702
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Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Articulated Human Pose Desicriptions .