22.4.1.12 Human Pose Tracking, Posture Tracking, Posture from Video, Pose from Motion

d'Apuzzo, N.[Nicola],
Surface measurement and tracking of human body parts from multi-image video sequences,
PandRS(56), No. 5-6, August 2002, pp. 360-375.
HTML Version. 0208
BibRef

Sidenbladh, H.[Hedvig], Black, M.J.[Michael J.],
Learning the Statistics of People in Images and Video,
IJCV(54), No. 1-3, August 2003, pp. 183-209.
DOI Link
PDF File. 0306
Software for Matlab: Code, Tracking.
WWW Link. BibRef
Earlier:
Learning Image Statistics for Bayesian Tracking,
ICCV01(II: 709-716).
IEEE DOI 0106
BibRef

de la Torre, F.[Fernando], Black, M.J.[Michael J.],
A Framework for Robust Subspace Learning,
IJCV(54), No. 1-3, August 2003, pp. 117-142.
DOI Link
PDF File. 0306
Software for Matlab:
WWW Link. Code, PCA. BibRef

Sidenbladh, H.[Hedvig], de la Torre, F.[Fernando], Black, M.J.[Michael J.],
A Framework for Modeling the Appearance of 3D Articulated Figures,
AFGR00(368-375).
IEEE DOI 0003
BibRef

Tian, Y.[Yan], Sigal, L.[Leonid], Badino, H.[Hernán], de la Torre, F.[Fernando], Liu, Y.[Yong],
Latent Gaussian Mixture Regression for Human Pose Estimation,
ACCV10(III: 679-690).
Springer DOI 1011
BibRef

Howe, N.R.[Nicholas R.],
Silhouette lookup for monocular 3D pose tracking,
IVC(25), No. 3, March 2007, pp. 331-341.
Elsevier DOI 0701
BibRef
Earlier:
Boundary Fragment Matching and Articulated Pose Under Occlusion,
AMDO06(271-280).
Springer DOI 0607
BibRef
Earlier:
Flow Lookup and Biological Motion Perception,
ICIP05(III: 1168-1171).
IEEE DOI 0512
BibRef
Earlier:
Silhouette Lookup for Automatic Pose Tracking,
Non-Rigid04(15).
IEEE DOI 0502
Look up observed silhouettes in a collection of known poses. Monocular tracking; Articulated tracking; Pose tracking; Silhouette lookup; Failure recovery BibRef

Wang, Q.A.[Qi-Ang], Zhang, W.[Wei], Tang, X.[Xiaoou], Shum, H.Y.,
Real-Time Bayesian 3-D Pose Tracking,
CirSysVideo(16), No. 12, December 2006, pp. 1533-1541.
IEEE DOI 0701
BibRef

Zhang, W.[Wei], Wang, Q.A.[Qi-Ang], Tang, X.[Xiaoou],
Real Time Feature Based 3-D Deformable Face Tracking,
ECCV08(II: 720-732).
Springer DOI 0810
BibRef

Pellegrini, S.[Stefano], Iocchi, L.[Luca],
Human Posture Tracking and Classification through Stereo Vision and 3D Model Matching,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Ni, B.B.[Bing-Bing], Kassim, A.A.[Ashraf A.], Winkler, S.[Stefan],
A Hybrid Framework for 3-D Human Motion Tracking,
CirSysVideo(18), No. 8, August 2008, pp. 1075-1084.
IEEE DOI 0809
BibRef
Earlier: A1, A3, A2:
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking,
HUMO07(212-224).
Springer DOI 0710
BibRef

Shahed Nejhum, S.M., Ho, J.[Jeffrey], Yang, M.H.[Ming-Hsuan],
Online visual tracking with histograms and articulating blocks,
CVIU(114), No. 8, August 2010, pp. 901-914.
Elsevier DOI 1007
BibRef
Earlier:
Visual tracking with histograms and articulating blocks,
CVPR08(1-8).
IEEE DOI 0806
Object tracking; Image segmentation; Object detection
See also Higher-Dimensional Affine Registration and Vision Applications. BibRef

Sedai, S.[Suman], Bennamoun, M.[Mohammed], Huynh, D.Q.[Du Q.],
A Gaussian Process Guided Particle Filter for Tracking 3D Human Pose in Video,
IP(22), No. 11, 2013, pp. 4286-4300.
IEEE DOI 1310
BibRef
Earlier: A1, A3, A2:
Supervised particle filter for tracking 2D human pose in monocular video,
WACV11(367-373).
IEEE DOI 1101
Gaussian distribution BibRef

Sedai, S.[Suman], Bennamoun, M.[Mohammed], Huynh, D.Q.[Du Q.],
Discriminative fusion of shape and appearance features for human pose estimation,
PR(46), No. 12, 2013, pp. 3223-3237.
Elsevier DOI 1307
BibRef
Earlier:
Localized fusion of Shape and Appearance features for 3d Human Pose Estimation,
BMVC10(xx-yy).
HTML Version. 1009
BibRef
Earlier:
Context-Based Appearance Descriptor for 3D Human Pose Estimation from Monocular Images,
DICTA09(484-491).
IEEE DOI 0912
3D human pose estimation BibRef

Sedai, S.[Suman], Flitti, F.[Farid], Bennamoun, M.[Mohammed], Huynh, D.Q.[Du Q.],
3D Human Pose Estimation from Static Images Using Local Features and Discriminative Learning,
ICIAR09(327-336).
Springer DOI 0907
BibRef

Datta, A.[Ankur], Sheikh, Y.[Yaser], Kanade, T.[Takeo],
Linearized Motion Estimation for Articulated Planes,
PAMI(33), No. 4, April 2011, pp. 780-793.
IEEE DOI 1103
BibRef
Earlier:
Linear motion estimation for systems of articulated planes,
CVPR08(1-8).
IEEE DOI 0806
Allows for tracking pose of untextured and occluded features. Articulation constraints. BibRef

Wei, S.E., Ramakrishna, V.[Varun], Kanade, T.[Takeo], Sheikh, Y.[Yaser],
Convolutional Pose Machines,
CVPR16(4724-4732)
IEEE DOI 1612
BibRef
Earlier: A2, A3, A4, Only:
Tracking Human Pose by Tracking Symmetric Parts,
CVPR13(3728-3735)
IEEE DOI 1309
BibRef
Earlier:
Reconstructing 3D Human Pose from 2D Image Landmarks,
ECCV12(IV: 573-586).
Springer DOI 1210
human pose estimation BibRef

Schwarz, L.A.[Loren Arthur], Mateus, D.[Diana], Navab, N.[Nassir],
Recognizing multiple human activities and tracking full-body pose in unconstrained environments,
PR(45), No. 1, January 2012, pp. 11-23.
Elsevier DOI 1109
Human motion analysis; Manifold learning; Inertial sensors BibRef

Schwarz, L.A.[Loren Arthur], Mkhitaryan, A.[Artashes], Mateus, D.[Diana], Navab, N.[Nassir],
Human skeleton tracking from depth data using geodesic distances and optical flow,
IVC(30), No. 3, March 2012, pp. 217-226.
Elsevier DOI 1204
BibRef
Earlier:
Estimating human 3D pose from Time-of-Flight images based on geodesic distances and optical flow,
FG11(700-706).
IEEE DOI 1103
Human pose estimation; Depth imaging; Geodesic distances BibRef

Schwarz, L.A.[Loren Arthur], Mateus, D.[Diana], Lallemand, J.[Joe], Navab, N.[Nassir],
Tracking planes with Time of Flight cameras and J-linkage,
WMVC11(664-671).
IEEE DOI 1101
BibRef

Schwarz, L.A.[Loren Arthur], Mateus, D.[Diana], Castaneda, V.[Victor], Navab, N.[Nassir],
Manifold Learning for Tof-based Human Body Tracking and Activity Recognition,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Schwarz, L.A.[Loren Arthur], Mateus, D.[Diana], Navab, N.[Nassir],
Multiple-Activity Human Body Tracking in Unconstrained Environments,
AMDO10(192-202).
Springer DOI 1007

See also Unified and Efficient Approach for Free-form Deformable Registration, A. BibRef

Belagiannis, V.[Vasileios], Amann, C.[Christian], Navab, N.[Nassir], Ilic, S.[Slobodan],
Holistic Human Pose Estimation with Regression Forests,
AMDO14(20-30).
Springer DOI 1407
BibRef

Livne, M.[Micha], Sigal, L.[Leonid], Troje, N.F.[Nikolaus F.], Fleet, D.J.[David J.],
Human attributes from 3D pose tracking,
CVIU(116), No. 5, May 2012, pp. 648-660.
Elsevier DOI 1203
BibRef
Earlier: A2, A4, A3, A1: ECCV10(III: 243-257).
Springer DOI 1009
Human motion; Gait analysis; 3D human pose tracking; Transfer learning; Gender recognition; Human attributes BibRef

Taylor, G.W.[Graham W.], Sigal, L.[Leonid], Fleet, D.J.[David J.], Hinton, G.E.[Geoffrey E.],
Dynamical binary latent variable models for 3D human pose tracking,
CVPR10(631-638).
IEEE DOI Video of talk:
WWW Link. 1006
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

Cho, N.G.[Nam-Gyu], Yuille, A.L.[Alan L.], Lee, S.W.[Seong-Whan],
Adaptive occlusion state estimation for human pose tracking under self-occlusions,
PR(46), No. 3, March 2013, pp. 649-661.
Elsevier DOI 1212
3D human pose tracking; Self-occlusion BibRef

Kaliamoorthi, P.[Prabhu], Kakarala, R.[Ramakrishna],
Parametric annealing: A stochastic search method for human pose tracking,
PR(46), No. 5, May 2013, pp. 1501-1510.
Elsevier DOI 1302
BibRef
Earlier:
Human pose tracking by parametric annealing,
HAU3D12(36-41).
IEEE DOI 1207
Human pose tracking; Stochastic search; Parameter selection; Particle filter; Annealing BibRef

Lehment, N.H.[Nicolas H.], Kaiser, M.[Moritz], Rigoll, G.[Gerhard],
Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking,
IJCV(101), No. 3, February 2013, pp. 482-497.
WWW Link. 1303
BibRef
Earlier: HCI11(406-413).
IEEE DOI 1201

See also Robust tracking of facial feature points with 3D Active Shape Models.
See also Dense point-to-point correspondences between 3D faces using parametric remeshing for constructing 3D Morphable Models. BibRef

Lee, J.[Jehoon], Sandhu, R.[Romeil], Tannenbaum, A.[Allen],
Particle filters and occlusion handling for rigid 2D-3D pose tracking,
CVIU(117), No. 8, August 2013, pp. 922-933.
Elsevier DOI 1306
BibRef
Earlier:
Monte Carlo sampling for visual pose tracking,
ICIP11(501-504).
IEEE DOI 1201
2D-3D pose estimation; Object tracking; Occlusion handling; Particle filters
See also Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation, A. BibRef

Ukita, N.[Norimichi],
Simultaneous particle tracking in multi-action motion models with synthesized paths,
IVC(31), No. 6-7, June-July 2013, pp. 448-459.
Elsevier DOI 1306
Human pose tracking; Motion prior; Multiple actions; Action transition; Transition paths BibRef

Du, M., Nan, X., Guan, L.,
Monocular Human Motion Tracking by Using DE-MC Particle Filter,
IP(22), No. 10, 2013, pp. 3852-3865.
IEEE DOI 1309
Articulated human motion tracking BibRef

Zhang, X.Q.[Xiao-Qin], Hu, W.M.[Wei-Ming], Wang, X.Y.[Xiang-Yang], Kong, Y.[Yu], Xie, N.H.[Nian-Hua], Wang, H.Z.[Han-Zi], Ling, H.B.[Hai-Bin], Maybank, S.J.[Steve J.],
A swarm intelligence based searching strategy for articulated 3D human body tracking,
VAM10(45-50).
IEEE DOI 1006
BibRef

Xu, Y., Ye, M., Tian, Z., Zhang, X.,
Locally adaptive combining colour and depth for human body contour tracking using level set method,
IET-CV(8), No. 4, August 2014, pp. 316-328.
DOI Link 1407
BibRef

Zhang, W.C.[Wei-Chen], Shang, L.F.[Li-Feng], Chan, A.B.,
A Robust Likelihood Function for 3D Human Pose Tracking,
IP(23), No. 12, December 2014, pp. 5374-5389.
IEEE DOI 1412
maximum likelihood estimation BibRef

Zhu, Y.Y.[Ying-Ying], Lucey, S.[Simon],
Convolutional Sparse Coding for Trajectory Reconstruction,
PAMI(37), No. 3, March 2015, pp. 529-540.
IEEE DOI 1502
Convolution BibRef

Valmadre, J.[Jack], Zhu, Y.Y.[Ying-Ying], Sridharan, S.[Sridha], Lucey, S.[Simon],
Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters,
ECCV12(I: 72-85).
Springer DOI 1210
BibRef

Moutzouris, A.[Alexandros], Martinez-del-Rincon, J.[Jesus], Nebel, J.C.[Jean-Christophe], Makris, D.[Dimitrios],
Efficient tracking of human poses using a manifold hierarchy,
CVIU(132), No. 1, 2015, pp. 75-86.
Elsevier DOI 1502
Human body pose estimation BibRef

Zhao, L.[Lin], Gao, X.B.[Xin-Bo], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long],
Tracking Human Pose Using Max-Margin Markov Models,
IP(24), No. 12, December 2015, pp. 5274-5287.
IEEE DOI 1512
Markov processes 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

Daubney, B.[Ben], Xie, X.H.[Xiang-Hua], Deng, J.J.[Jing-Jing], Parthaláin, N.M.[Neil Mac], Zwiggelaar, R.[Reyer],
Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions,
IVC(52), No. 1, 2016, pp. 73-87.
Elsevier DOI 1609
BibRef
Earlier: A1, A2, Only:
Tracking 3D human pose with large root node uncertainty,
CVPR11(1321-1328).
IEEE DOI 1106
3D pose estimation BibRef

Ma, M.[Miao], Marturi, N.[Naresh], Li, Y.[Yibin], Stolkin, R.[Rustam], Leonardis, A.[Ales],
A local-global coupled-layer puppet model for robust online human pose tracking,
CVIU(153), No. 1, 2016, pp. 163-178.
Elsevier DOI 1612
Human pose tracking BibRef

Sharifi, A.[Ashraf], Harati, A.[Ahad], Vahedian, A.[Abedin],
Marker-based human pose tracking using adaptive annealed particle swarm optimization with search space partitioning,
IVC(62), No. 1, 2017, pp. 28-38.
Elsevier DOI 1706
Pose, tracking BibRef

Liu, Z., Lin, Z., Wei, X., Chan, S.C.,
A New Model-Based Method for Multi-View Human Body Tracking and Its Application to View Transfer in Image-Based Rendering,
MultMed(20), No. 6, June 2018, pp. 1321-1334.
IEEE DOI 1805
Biological system modeling, Cameras, Deformable models, Rendering (computer graphics), Solid modeling, textured deformable model BibRef

Yu, J., Sun, J.,
Multiactivity 3-D Human Pose Tracking in Incorporated Motion Model with Transition Bridges,
SMCS(48), No. 8, August 2018, pp. 1389-1402.
IEEE DOI 1808
Tracking, Computational modeling, Solid modeling, Bridges, Databases, High definition video, Visualization, Human pose tracking, transition bridges 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

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

Pavllo, D.[Dario], Feichtenhofer, C.[Christoph], Auli, M.[Michael], Grangier, D.[David],
Modeling Human Motion with Quaternion-Based Neural Networks,
IJCV(128), No. 4, April 2020, pp. 855-872.
Springer DOI 2004
BibRef
Earlier: A1, A2, A4, A3:
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training,
CVPR19(7745-7754).
IEEE DOI 2002
BibRef

Wu, Y., Kong, D., Wang, S., Li, J., Yin, B.,
An Unsupervised Real-Time Framework of Human Pose Tracking From Range Image Sequences,
MultMed(22), No. 8, August 2020, pp. 2177-2190.
IEEE DOI 2007
Biological system modeling, Pose estimation, Databases, Computational modeling, dynamic database lookup BibRef

Ning, G., Pei, J., Huang, H.,
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking,
VUHCS20(4456-4465)
IEEE DOI 2008
Target tracking, Pose estimation, Visualization, Cameras, Task analysis, Videos, Object tracking BibRef

Wang, M., Tighe, J., Modolo, D.,
Combining Detection and Tracking for Human Pose Estimation in Videos,
CVPR20(11085-11093)
IEEE DOI 2008
Videos, Detectors, Electron tubes, Pose estimation, Task analysis, Merging BibRef

Fang, Z.[Zheng], Zhang, X.W.[Xiong-Wei], Cao, T.Y.[Tie-Yong], Zheng, Y.F.[Yun-Fei], Sun, M.[Meng],
Spatial-temporal slowfast graph convolutional network for skeleton-based action recognition,
IET-CV(16), No. 3, 2022, pp. 205-217.
DOI Link 2204
graph theory, video signal processing, video signals BibRef

Wang, Z.M.[Zhi-Ming], Wang, J.[Juan], Ge, N.[Ning], Lu, J.H.[Jian-Hua],
HiMoReNet: A Hierarchical Model for Human Motion Refinement,
SPLetters(30), 2023, pp. 868-872.
IEEE DOI 2307
Pose estimation, Videos, Solid modeling, Jitter, Legged locomotion, Feature extraction, jitter removal BibRef

Wang, Y.[Yubo],
A Point-2s reinforcement learning biomimetic model for estimating and analyzing human 3D motion posture,
IVC(144), 2024, pp. 104927.
Elsevier DOI 2404
3D human activity, Motion posture estimation, VIBE, PointNet++, 2s AGCN, Point-2s reinforcement learning, Biomimetic model BibRef

Li, Z.P.[Zhi-Peng], Wang, J.[Jun], Hua, L.J.[Li-Jun], Liu, H.H.[Hong-Hui], Song, W.L.[Wen-Li],
Automatic Tracking Method for 3D Human Motion Pose Using Contrastive Learning,
IJIG(24), No. 3, May 2024, pp. 2550037.
DOI Link 2406
BibRef

Wang, X.Y.[Xiang-Yang], Tian, Y.H.[Yu-Hui], Geng, F.[Fudi], Wang, R.[Rui],
DFSTrack: Dual-stream fusion Siamese network for human pose tracking in videos,
IVC(148), 2024, pp. 105117.
Elsevier DOI Code:
WWW Link. 2407
Human pose tracking, Residual graph convolutional block, Dual-stream spatial-temporal fusion transformer BibRef

Goel, S.[Shubham], Pavlakos, G.[Georgios], Rajasegaran, J.[Jathushan], Kanazawa, A.[Angjoo], Malik, J.[Jitendra],
Humans in 4D: Reconstructing and Tracking Humans with Transformers,
ICCV23(14737-14748)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zheng, X.Z.[Xiao-Zheng], Su, Z.[Zhuo], Wen, C.[Chao], Xue, Z.[Zhou], Jin, X.J.[Xiao-Jie],
Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling,
ICCV23(14632-14642)
IEEE DOI 2401
BibRef

Choudhury, R.[Rohan], Kitani, K.M.[Kris M.], Jeni, L.A.[László A.],
TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting,
ICCV23(14704-14714)
IEEE DOI Code:
WWW Link. 2401
BibRef

Cui, Q.J.[Qiong-Jie], Sun, H.J.[Huai-Jiang], Lu, J.F.[Jian-Feng], Li, W.Q.[Wei-Qing], Li, B.[Bin], Yi, H.W.[Hong-Wei], Wang, H.F.[Hao-Fan],
Test-time Personalizable Forecasting of 3D Human Poses,
ICCV23(274-283)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhuo, L.[Li'an], Cao, J.[Jian], Wang, Q.[Qi], Zhang, B.[Bang], Bo, L.[Liefeng],
Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization,
CVPR23(650-659)
IEEE DOI 2309
BibRef

Jiang, J.X.[Jia-Xi], Streli, P.[Paul], Qiu, H.J.[Hua-Jian], Fender, A.[Andreas], Laich, L.[Larissa], Snape, P.[Patrick], Holz, C.[Christian],
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing,
ECCV22(V:443-460).
Springer DOI 2211
BibRef

Gärtner, E.[Erik], Andriluka, M.[Mykhaylo], Xu, H.Y.[Hong-Yi], Sminchisescu, C.[Cristian],
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video,
CVPR22(13096-13105)
IEEE DOI 2210
Shape, Computational modeling, Pose estimation, Dynamics, Kinematics, Task analysis, Pose estimation and tracking, 3D from single images BibRef

Rempe, D.[Davis], Birdal, T.[Tolga], Hertzmann, A.[Aaron], Yang, J.[Jimei], Sridhar, S.[Srinath], Guibas, L.J.[Leonidas J.],
HuMoR: 3D Human Motion Model for Robust Pose Estimation,
ICCV21(11468-11479)
IEEE DOI 2203
Training, Solid modeling, Shape, Computational modeling, Pose estimation, Gestures and body pose, Motion and tracking, Video analysis and understanding BibRef

Martínez-González, A.[Angel], Villamizar, M.[Michael], Odobez, J.M.[Jean-Marc],
Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers,
SoMoF21(2276-2284)
IEEE DOI 2112
Legged locomotion, Visualization, Computational modeling BibRef

Yang, Y.D.[Yi-Ding], Ren, Z.[Zhou], Li, H.X.[Hao-Xiang], Zhou, C.L.[Chun-Luan], Wang, X.C.[Xin-Chao], Hua, G.[Gang],
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking,
CVPR21(8070-8080)
IEEE DOI 2111
Visualization, Aggregates, Pose estimation, Pipelines, Predictive models, Graph neural networks BibRef

Chu, H.[Hau], Lee, J.H.[Jia-Hong], Lee, Y.C.[Yao-Chih], Hsu, C.H.[Ching-Hsien], Li, J.D.[Jia-Da], Chen, C.S.[Chu-Song],
Part-aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking,
AMFG21(1472-1481)
IEEE DOI 2109
Training, Matched filters, Pose estimation, Benchmark testing, Skeleton BibRef

Ehsani, K., Tulsiani, S., Gupta, S., Farhadi, A., Gupta, A.,
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects,
CVPR20(221-230)
IEEE DOI 2008
Videos, Force, Task analysis, Predictive models, Semantics, Pose estimation BibRef

Chen, L.[Long], Ai, H.Z.[Hai-Zhou], Chen, R.[Rui], Zhuang, Z.J.[Zi-Jie], Liu, S.A.[Shu-Ang],
Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS,
CVPR20(3276-3285)
IEEE DOI 2008
Cameras, Pose estimation, Task analysis, Target tracking, Videos BibRef

Sun, X., Li, C., Lin, S.,
Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose,
Hands19(2825-2835)
IEEE DOI 2004
gesture recognition, image colour analysis, image sequences, learning (artificial intelligence), object tracking, Joint Relation 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

Kwon, O.H.[Oh-Hun], Tanke, J.[Julian], Gall, J.[Juergen],
Recursive Bayesian Filtering for Multiple Human Pose Tracking from Multiple Cameras,
ACCV20(II:438-453).
Springer DOI 2103
BibRef
Earlier: A2, A3, Only:
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views,
GCPR19(537-550).
Springer DOI 1911
BibRef

Tang, J., Hu, H., Zhou, Q., Shan, H., Tian, C., Quek, T.Q.S.,
Pose Guided Global and Local GAN for Appearance Preserving Human Video Prediction,
ICIP19(614-618)
IEEE DOI 1910
Generative adversarial network, video prediction, human pose estimation 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

Li, C., Zhang, Z., Lee, W.S., Lee, G.H.,
Convolutional Sequence to Sequence Model for Human Dynamics,
CVPR18(5226-5234)
IEEE DOI 1812
Convolutional codes, Decoding, Predictive models, Hidden Markov models, Computational modeling, Dynamics, Task analysis BibRef

Girdhar, R.[Rohit], Gkioxari, G.[Georgia], Torresani, L.[Lorenzo], Paluri, M.[Manohar], Tran, D.[Du],
Detect-and-Track: Efficient Pose Estimation in Videos,
CVPR18(350-359)
IEEE DOI 1812
Videos, Electron tubes, Pose estimation, Task analysis, Optimization BibRef

Joo, H., Simon, T., Sheikh, Y.,
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies,
CVPR18(8320-8329)
IEEE DOI 1812
Award, CVPR, Student. Shape, Solid modeling, Tracking, Deformable models, Skeleton, BibRef

Xiao, B.[Bin], Wu, H.P.[Hai-Ping], Wei, Y.C.[Yi-Chen],
Simple Baselines for Human Pose Estimation and Tracking,
ECCV18(VI: 472-487).
Springer DOI 1810
BibRef

Toyer, S., Cherian, A., Han, T., Gould, S.,
Human Pose Forecasting via Deep Markov Models,
DICTA17(1-8)
IEEE DOI 1804
Markov processes, image classification, image motion analysis, image sequences, object tracking, Visualization BibRef

Lei, P.[Peng], Todorovic, S.,
Modeling human-skeleton motion patterns using conditional deep Boltzmann machine,
ICPR16(1845-1850)
IEEE DOI 1705
Computational modeling, Data models, Skeleton, Solid modeling, Tracking, Training, data BibRef

Hua, K.L.[Kai-Lung], Sari, I.N.[Irawati Nurmala], Yeh, M.C.[Mei-Chen],
Human Pose Tracking Using Online Latent Structured Support Vector Machine,
MMMod17(I: 626-637).
Springer DOI 1701
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

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

Hynes, A.[Andrew], Czarnuch, S.[Stephen],
Combinatorial Optimization for Human Body Tracking,
ISVC16(II: 524-533).
Springer DOI 1701
BibRef

Cormier, O.S.M.[Olivier St-Martin], Ferrie, F.P.[Frank P.],
Evaluation of Shape Description Metrics Applied to Human Silhouette Tracking,
CRV16(370-375)
IEEE DOI 1612
3D human posture tracking BibRef

No authors listed. Experimental study of skeleton tracking abilities from microsoft kinect non-frontal views,
3DTV-CON15(1-4)
IEEE DOI 1508
Accuracy BibRef

Cao, S.[Song], Nevatia, R.[Ram],
Forecasting Human Pose and Motion with Multibody Dynamic Model,
WACV15(191-198)
IEEE DOI 1503
Analytical models 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

Hassan, A.[Ali], Taj, M.[Murtaza],
2D articulated human pose tracking: A hybrid approach,
ICIP14(1535-1539)
IEEE DOI 1502
Cameras BibRef

Tian, J.L.[Jing-Lan], Li, L.[Ling], Liu, W.Q.[Wan-Quan],
Monocular Human Motion Tracking with Non-Connected Body Part Dependency,
DICTA15(1-7)
IEEE DOI 1603
BibRef
Earlier:
A Robust Framework for 2D Human Pose Tracking with Spatial and Temporal Constraints,
DICTA14(1-8)
IEEE DOI 1502
Gaussian distribution. Gaussian processes BibRef

Ding, M.[Meng], Fan, G.L.[Guo-Liang],
Generalized Sum of Gaussians for Real-Time Human Pose Tracking from a Single Depth Sensor,
WACV15(47-54)
IEEE DOI 1503
BibRef
Earlier:
Fast Human Pose Tracking with a Single Depth Sensor Using Sum of Gaussians Models,
ISVC14(I: 599-608).
Springer DOI 1501
Adaptation models BibRef

Chen, H.W.[Hai-Wen], McGurr, M.[Mike],
Improved color and intensity patch segmentation for human full-body and body-parts detection and tracking,
AVSS14(361-368)
IEEE DOI 1411
Cameras BibRef

Jalal, A.[Ahmad], Kim, Y.[Yeonho],
Dense depth maps-based human pose tracking and recognition in dynamic scenes using ridge data,
AVSS14(119-124)
IEEE DOI 1411
Accuracy BibRef

Hájková, J.[Jana], Kohout, J.[Josef],
Human Body Model Movement Support: Automatic Muscle Control Curves Computation,
IWCIA14(196-211).
Springer DOI 1405
BibRef

Ukita, N., Nakazawa, A.,
Human Body-Parts Tracking for Fine-Grained Behavior Classification,
SocialInter13(777-778)
IEEE DOI 1403
behavioural sciences computing BibRef

Lim, T.[Taegyu], Hong, S.H.[Seung-Hoon], Han, B.H.[Bo-Hyung], Han, J.H.[Joon Hee],
Joint Segmentation and Pose Tracking of Human in Natural Videos,
ICCV13(833-840)
IEEE DOI 1403
Background Subtraction; Pose estimation BibRef

Tokola, R.[Ryan], Choi, W.[Wongun], Savarese, S.[Silvio],
Breaking the Chain: Liberation from the Temporal Markov Assumption for Tracking Human Poses,
ICCV13(2424-2431)
IEEE DOI 1403
pose estimation; tracking BibRef

Han, K.[Kyuseo], Park, J.[Johnny], Kak, A.C.[Avinash C.],
Robust tracking of articulated human movements through Component-Based Multiple Instance Learning with particle filtering,
WACV14(847-853)
IEEE DOI 1406
BibRef
Earlier:
Tracking articulated human movements with a component based approach to boosted multiple instance learning,
ICIP13(2460-2464)
IEEE DOI 1402
Atmospheric measurements. Articulated human tracking;Multiple instance learning;Online boosting BibRef

Liu, C.G.[Chen-Guang], Cheng, H.[Hengda], Allan, V.H.[Vicki H.],
Articulated human pose tracking based on game theory,
ICIP13(2553-2556)
IEEE DOI 1402
Articulated human pose tracking BibRef

Huang, C.H.[Chun-Hao], Boyer, E.[Edmond], Navab, N.[Nassir], Ilic, S.[Slobodan],
Human Shape and Pose Tracking Using Keyframes,
CVPR14(3446-3453)
IEEE DOI 1409
BibRef
Earlier: A1, A2, A4, Only:
Robust Human Body Shape and Pose Tracking,
3DV13(287-294)
IEEE DOI 1311
bone BibRef

Romera-Paredes, B., Aung, M.S.H., Pontil, M., Bianchi-Berthouze, N., de C Williams, A.C., Watson, P.,
Transfer learning to account for idiosyncrasy in face and body expressions,
FG13(1-6)
IEEE DOI 1309
correlation methods BibRef

Lu, Y.[Yao], Li, L.[Ling], Peursum, P.,
Human pose tracking based on both generic and specific appearance models,
ICARCV12(1071-1076).
IEEE DOI 1304
Cited by 1 BibRef

Jammalamadaka, N.[Nataraj], Zisserman, A.[Andrew], Eichner, M.[Marcin], Ferrari, V.[Vittorio], Jawahar, C.V.,
Video retrieval by mimicking poses,
ICMR12(34).
DOI Link 1301
match the 2D human pose of a query BibRef

Ganapathi, V.[Varun], Plagemann, C.[Christian], Koller, D.[Daphne], Thrun, S.[Sebastian],
Real-Time Human Pose Tracking from Range Data,
ECCV12(VI: 738-751).
Springer DOI 1210
BibRef

Kim, D.[Daehwan], Kim, D.J.[Dai-Jin],
A novel fitting algorithm using the ICP and the particle filters for robust 3d human body motion tracking,
VNBA08(69-76).
DOI Link 1208
ICP registration that fits the 3D human body model to image. BibRef

Graf, H.[Holger], Yoon, S.M.[Sang Min], Malerczyk, C.[Cornelius],
Real-time 3D reconstruction and pose estimation for human motion analysis,
ICIP10(3981-3984).
IEEE DOI 1009
BibRef

Valmadre, J.[Jack], Upcroft, B., Sridharan, S., Lucey, S.[Simon],
Graph Rigidity for Near-Coplanar Structure from Motion,
DICTA11(480-486).
IEEE DOI 1205
BibRef

Valmadre, J.[Jack], Lucey, S.[Simon],
General trajectory prior for Non-Rigid reconstruction,
CVPR12(1394-1401).
IEEE DOI 1208
BibRef
And:
Deterministic 3D Human Pose Estimation Using Rigid Structure,
ECCV10(III: 467-480).
Springer DOI 1009
BibRef

van der Aa, N.P., Luo, X., Giezeman, G.J., Tan, R.T., Veltkamp, R.C.,
UMPM benchmark: A multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction,
HICV11(1264-1269).
IEEE DOI 1201
Dataset, Human Pose. BibRef

Sapp, B.[Benjamin], Weiss, D.[David], Taskar, B.[Ben],
Parsing human motion with stretchable models,
CVPR11(1281-1288).
IEEE DOI 1106
BibRef

Gonzalez, M.[Matilde], Collet, C.[Christophe],
Robust body parts tracking using particle filter and dynamic template,
ICIP11(529-532).
IEEE DOI 1201
BibRef

Zhang, Z.[Zheng], Seah, H.S.[Hock Soon], Quah, C.K.[Chee Kwang], Sun, J.X.[Ji-Xiang],
A markerless motion capture system with automatic subject-specific body model acquisition and robust pose tracking from 3D data,
ICIP11(525-528).
IEEE DOI 1201
BibRef

Moutzouris, A.[Alexandros], Martinez-del-Rincon, J.[Jesus], Nebel, J.C.[Jean-Christophe], Makris, D.[Dimitrios],
Human pose tracking by Hierarchical Manifold Searching,
ICPR12(866-869).
WWW Link. 1302
BibRef

Moutzouris, A.[Alexandros], Martinez-del-Rincon, J.[Jesus], Lewandowski, M.[Michal], Nebel, J.C.[Jean-Christophe], Makris, D.[Dimitrios],
Human pose tracking in low dimensional space enhanced by limb correction,
ICIP11(2301-2304).
IEEE DOI 1201
BibRef

Chen, J.[Jia], Wu, X.J.[Xiao-Jun], Wang, M.Y.[Michael Yu], Deng, F.[Fuqin],
Human Body Shape and Motion Tracking by Hierarchical Weighted ICP,
ISVC11(II: 408-417).
Springer DOI 1109
BibRef

Gamaz, D.M.[Djamila Medjahed], Gueziri, H.E.[Houssem Eddine], Haouchine, N.[Nazim],
Modelling Postures of Human Movements,
CIARP10(202-211).
Springer DOI 1011
BibRef

Ozturk, O.[Ovgu], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
Tracking of humans and estimation of body/head orientation from top-view single camera for visual focus of attention analysis,
THEMIS09(1020-1027).
IEEE DOI 0910

See also Cooperative estimation of human motion and surfaces using multiview videos. BibRef

Unzueta, L.[Luis], Mena, O.[Oscar], Sierra, B.[Basilio], Suescun, Á.[Ángel],
Kinetic Pseudo-energy History for Human Dynamic Gestures Recognition,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Karlekar, J.[Jayashree], Le, S.N.[Sang N.], Fang, A.C.[Anthony C.],
Tracking of articulated pose and motion with a markerized grid suit,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Tran, C.[Cuong], Trivedi, M.M.[Mohan M.],
Human body modelling and tracking using volumetric representation: Selected recent studies and possibilities for extensions,
ICDSC08(1-9).
IEEE DOI 0809
BibRef

Hahn, M.[Markus], Kruger, L.[Lars], Wohler, C.[Christian], Gross, H.M.[Horst-Michael],
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm,
3DIM07(257-264).
IEEE DOI 0708
BibRef

Chu, C.W.[Chi-Wei], Nevatia, R.[Ramakant],
Real-Time 3D Body Pose Tracking from Multiple 2D Images,
AMDO08(42-52).
Springer DOI 0807
BibRef
Earlier:
Real Time Body Pose Tracking in an Immersive Training Environment,
CVHCI07(146-156).
Springer DOI 0710
Uses IR for detection, for use in dark theater environment. BibRef

Guan, L.[Li], Franco, J.S.[Jean-Sebastien], Boyer, E.[Edmond], Pollefeys, M.[Marc],
Probabilistic 3D occupancy flow with latent silhouette cues,
CVPR10(1379-1386).
IEEE DOI 1006
BibRef

Guan, L.[Li], Franco, J.S.[Jean-Sebastien], Pollefeys, M.[Marc],
Multi-object shape estimation and tracking from silhouette cues,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Li, J.F.[Jing-Feng], Xu, Y.H.[Yi-Hua], Chen, Y.[Yang], Jia, Y.D.[Yun-De],
A Real-Time 3D Human Body Tracking and Modeling System,
ICIP06(2809-2812).
IEEE DOI 0610
BibRef

Fua, P.,
Human Shape and Motion from Video,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Posture, Upper Body Posture, Arms .