21.4.1.2 Human Body Segmentation, Posture, Pose Related

Chapter Contents (Back)
Human Segmentation. Body Part Segmentation.

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

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

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

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

Lu, H.C.[Hu-Chuan], Shao, X.Q.[Xin-Qing], Xiao, Y.[Yi],
Pose Estimation With Segmentation Consistency,
IP(22), No. 10, 2013, pp. 4040-4048.
IEEE DOI 1309
Human Segmentation 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

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

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

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


Kundu, J.N., Seth, S., Jampani, V., Rakesh, M., Babu, R.V.[R. Venkatesh], Chakraborty, A.,
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis,
CVPR20(6151-6161)
IEEE DOI 2008
Pose estimation, Cameras, Shape, Solid modeling, Task analysis BibRef

Cahill-Lane, J., Mills, S., Duncan, S.,
Body Part Labelling with Minkowski Networks,
IVCNZ19(1-6)
IEEE DOI 2004
computer vision, feature extraction, image classification, image representation, learning (artificial intelligence), Minkowski networks BibRef

Rong, Y., Liu, Z., Li, C., Cao, K., Loy, C.C.[Chen Change],
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild,
ICCV19(5339-5347)
IEEE DOI 2004
feature extraction, image annotation, image reconstruction, image segmentation, learning (artificial intelligence), BibRef

Zhang, S.H.[Song-Hai], Li, R.L.[Rui-Long], Dong, X.[Xin], Rosin, P.[Paul], Cai, Z.[Zixi], Han, X.[Xi], Yang, D.C.[Ding-Cheng], Huang, H.Z.[Hao-Zhi], Hu, S.M.[Shi-Min],
Pose2Seg: Detection Free Human Instance Segmentation,
CVPR19(889-898).
IEEE DOI 2002
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

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

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

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

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

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

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

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

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

Kiefel, M.[Martin], Gehler, P.V.[Peter Vincent],
Human Pose Estimation with Fields of Parts,
ECCV14(V: 331-346).
Springer DOI 1408
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

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

Wang, H.[Huayan], Koller, D.[Daphne],
Multi-level inference by relaxed dual decomposition for human pose segmentation,
CVPR11(2433-2440).
IEEE DOI 1106
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

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

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

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

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Body Shape .


Last update:Oct 19, 2020 at 15:02:28