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

Krueger, M.W.[Myron W.], Hinrichsen, K.[Katrin], Gionfriddo, T.S.[Thomas S.],
Real time perception of and response to the actions of an unencumbered participant/user,
US_Patent4,843,568, Jun 27, 1989
WWW Link. BibRef 8906

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

Cucchiara, R.[Rita], Grana, C., Prati, A.[Andrea], Vezzani, R.[Roberto],
Probabilistic Posture Classification for Human-Behavior Analysis,
SMC-A(35), No. 1, January 2005, pp. 42-54.
IEEE Abstract. 0501
BibRef
Earlier: A1, A3, A4, Only:
Posture Classification in a Multi-Camera Indoor Environment,
ICIP05(I: 725-728).
IEEE DOI 0512
BibRef

Vezzani, R.[Roberto], Grana, C.[Costantino], Cucchiara, R.[Rita],
Probabilistic people tracking with appearance models and occlusion classification: The AD-HOC system,
PRL(32), No. 6, 15 April 2011, pp. 867-877.
Elsevier DOI 1103
Object tracking; Appearance-based tracking; Occlusion; Probabilistic tracking BibRef

Baltieri, D.[Davide], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
People Orientation Recognition by Mixtures of Wrapped Distributions on Random Trees,
ECCV12(V: 270-283).
Springer DOI 1210
BibRef

Cucchiara, R., Grana, C., Tardini, G., Vezzani, R.,
Probabilistic people tracking for occlusion handling,
ICPR04(I: 132-135).
IEEE DOI 0409
BibRef

Cucchiara, R.[Rita], Vezzani, R.[Roberto],
Assessing Temporal Coherence for Posture Classification with Large Occlusions,
Motion05(II: 269-274).
IEEE DOI 0502
BibRef

Panini, L., Cucchiara, R.,
A machine learning approach for human posture detection in domotics applications,
CIAP03(103-108).
IEEE DOI 0310
BibRef

de Campos, T.E.[Teofilo E.], Tordoff, B.J.[Ben J.], Murray, D.W.[David W.],
Recovering Articulated Pose: A Comparison of Two Pre and Postimposed Constraint Methods,
PAMI(28), No. 1, January 2006, pp. 163-168.
IEEE DOI 0512
Pre: kinematic constraints, minimum degrees of freedom. Post: after tracking, maximum. Pre: best for single objects, Post: for multiple, contact. BibRef

de Campos, T.E.[Teofilo E.], Murray, D.W.[David W.],
Regression-based Hand Pose Estimation from Multiple Cameras,
CVPR06(I: 782-789).
IEEE DOI 0606
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

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

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

Wu, C.[Chen], Aghajan, H.[Hamid],
Real-Time Human Pose Estimation: A Case Study in Algorithm Design for Smart Camera Networks,
PIEEE(96), No. 10, October 2008, pp. 1715-1732.
IEEE DOI 0811
BibRef
Earlier:
Human Pose Estimation in Vision Networks Via Distributed Local Processing and Nonparametric Belief Propagation,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef
Earlier:
Model-based human posture estimation for gesture analysis in an opportunistic fusion smart camera network,
AVSBS07(453-458).
IEEE DOI 0709
BibRef
And:
Model-Based Image Segmentation for Multi-view Human Gesture Analysis,
ACIVS07(310-321).
Springer DOI 0708

See also User-Centric Environment Discovery With Camera Networks in Smart Homes. BibRef

Wu, C.[Chen], Aghajan, H.[Hamid],
Head pose and trajectory recovery in uncalibrated camera networks: Region of interest tracking in smart home applications,
ICDSC08(1-7).
IEEE DOI 0809
BibRef

Chang, C.C.[Chung-Ching], Wu, C.[Chen], Aghajan, H.[Hamid],
Pose and Gaze Estimation in Multi-camera Networks for Non-restrictive HCI,
CVHCI07(128-137).
Springer DOI 0710
BibRef

Gupta, A.[Abhinav], Mittal, A.[Anurag], Davis, L.S.[Larry S.],
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions,
PAMI(30), No. 3, March 2008, pp. 493-506.
IEEE DOI 0801
BibRef
Earlier:
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes,
ICCV07(1-8).
IEEE DOI 0710
BibRef
Earlier:
Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions,
3DPVT06(900-907).
IEEE DOI 0606
BibRef

Katti, A.R.[Anoop R.], Mittal, A.[Anurag],
Mixture of parts revisited: Expressive part interactions for Pose Estimation,
AMFG15(59-67)
IEEE DOI 1510
Computational modeling BibRef

Rogez, G.[Gregory], Orrite-Urunuela, C.[Carlos], Martinez-del-Rincon, J.[Jesus],
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences,
PR(41), No. 9, September 2008, pp. 2926-2944.
Elsevier DOI 0806
Human motion analysis; Human shape modelling; Pose inference BibRef

Rogez, G.[Grégory], Rihan, J.[Jonathan], Orrite-Uruñuela, C.[Carlos], Torr, P.H.S.[Philip H. S.],
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors,
IJCV(99), No. 1, August 2012, pp. 25-52.
WWW Link. 1202
BibRef

Rogez, G.[Gregory], Rihan, J.[Jonathan], Ramalingam, S.[Srikumar], Orrite-Urunuela, C.[Carlos], Torr, P.H.S.[Philip H.S.],
Randomized trees for human pose detection,
CVPR08(1-8).
IEEE DOI 0806
BibRef

van den Bergh, M.[Michael], Koller-Meier, E.[Esther], Van Gool, L.J.[Luc J.],
Real-Time Body Pose Recognition Using 2D or 3D Haarlets,
IJCV(83), No. 1, June 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier:
Fast Body Posture Estimation using Volumetric Features,
Motion08(1-8).
IEEE DOI 0801
Markerless pose with multiple cameras. Example based classification. 2D classification based on silhouettes, and 3D classification based on visual hulls. BibRef

Zhao, X.[Xu], Fu, Y.[Yun], Ning, H.Z.[Hua-Zhong], Liu, Y.C.[Yun-Cai], Huang, T.S.,
Human Pose Regression Through Multiview Visual Fusion,
CirSysVideo(20), No. 7, July 2010, pp. 957-966.
IEEE DOI 1008
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

Zhu, Y.D.[You-Ding], Dariush, B.[Behzad], Fujimura, K.[Kikuo],
Kinematic self retargeting: A framework for human pose estimation,
CVIU(114), No. 12, December 2010, pp. 1362-1375.
Elsevier DOI 1011
Human pose estimation; Human body tracking; Constrained inverse kinematics; Model based human body tracking; Key-point detection BibRef

Zhu, Y.D.[You-Ding], Dariush, B.[Behzad], Fujimura, K.[Kikuo],
Controlled human pose estimation from depth image streams,
TOF-CV08(1-8).
IEEE DOI 0806
BibRef
Earlier: A1, A2, Only:
Constrained Optimization for Human Pose Estimation from Depth Sequences,
ACCV07(I: 408-418).
Springer DOI 0711
BibRef

Zhu, Y.D.[You-Ding], Fujimura, K.[Kikuo],
Bayesian 3D Human Body Pose Tracking from Depth Image Sequences,
ACCV09(II: 267-278).
Springer DOI 0909
BibRef

Chen, C.[Cheng], Zhuang, Y.T.[Yue-Ting], Xiao, J.[Jun],
Silhouette representation and matching for 3D pose discrimination: A comparative study,
IVC(28), No. 4, April 2010, pp. 654-667.
Elsevier DOI 1002
Pose inferring; Motion recovery; Shape analysis; Comparative study; Performance evaluation Human pose. 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

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

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

Chen, C.[Cheng], Yang, Y.[Yi], Nie, F.P.[Fei-Ping], Odobez, J.M.[Jean-Marc],
3D human pose recovery from image by efficient visual feature selection,
CVIU(115), No. 3, March 2011, pp. 290-299.
Elsevier DOI 1103
Pose recovery; Feature selection; Motion understanding; Sparse representation BibRef

Chen, C.[Cheng], Odobez, J.M.[Jean-Marc],
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video,
CVPR12(1544-1551).
IEEE DOI 1208
BibRef

Chen, C.[Cheng], Heili, A.[Alexandre], Odobez, J.M.[Jean-Marc],
A joint estimation of head and body orientation cues in surveillance video,
SISM11(860-867).
IEEE DOI 1201
BibRef
And:
Combined estimation of location and body pose in surveillance video,
AVSBS11(5-10).
IEEE DOI 1111
BibRef

Jiang, H.[Hao],
Human Pose Estimation Using Consistent Max Covering,
PAMI(33), No. 9, September 2011, pp. 1911-1918.
IEEE DOI 1109
BibRef
Earlier: ICCV09(1357-1364).
IEEE DOI 0909
Given rough foreground estimation. Formulate as a jigsaw problem where body parts cover the foreground, and match other features. BibRef

Jiang, H.[Hao],
Finding People Using Scale, Rotation and Articulation Invariant Matching,
ECCV12(IV: 388-401).
Springer DOI 1210
BibRef
Earlier:
Finding Human Poses in Videos Using Concurrent Matching and Segmentation,
ACCV10(I: 228-243).
Springer DOI 1011
BibRef
And:
3D Human Pose Reconstruction Using Millions of Exemplars,
ICPR10(1674-1677).
IEEE DOI 1008
BibRef

Jiang, H.[Hao], Martin, D.R.[David R.],
Global pose estimation using non-tree models,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Shen, J.F.[Jian-Feng], Yang, W.M.[Wen-Ming], Liao, Q.M.[Qing-Min],
Multiview human pose estimation with unconstrained motions,
PRL(32), No. 15, 1 November 2011, pp. 2025-2035.
Elsevier DOI 1112
Human pose estimation; Hierarchical fitting technique; Local shape feature; Unconstrained motion BibRef

Shen, J.F.[Jian-Feng], Yang, W.M.[Wen-Ming], Liao, Q.M.[Qing-Min],
Part template: 3D representation for multiview human pose estimation,
PR(46), No. 7, July 2013, pp. 1920-1932.
Elsevier DOI 1303
Human pose estimation; Hierarchical fitting technique; Multi-cue 3D fusion; Part template; Unconstrained motion 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

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

Daubney, B.[Ben], Gibson, D.P.[David P.], Campbell, N.W.[Neill W.],
Estimating pose of articulated objects using low-level motion,
CVIU(116), No. 3, March 2012, pp. 330-346.
Elsevier DOI 1201
BibRef
Earlier:
Monocular 3D human pose estimation using sparse motion features,
THEMIS09(1050-1057).
IEEE DOI 0910
BibRef
Earlier:
Real-time pose estimation of articulated objects using low-level motion,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And:
Estimating Gait Phase using Low-Level Motion,
Motion08(1-6).
IEEE DOI 0801
Pose estimation; Low-level motion; Pictorial Structures; Sparse features 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

Lehment, N.H.[Nicolas H.], Kaiser, M.[Moritz], Arsic, D.[Dejan], Rigoll, G.[Gerhard],
Cue-independent extending inverse kinematics for robust pose estimation in 3D point clouds,
ICIP10(2465-2468).
IEEE DOI 1009
BibRef
And: A1, A3, A2, A4:
Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU,
AMFG10(87-92).
IEEE DOI 1006
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

Slama, R.[Rim], Wannous, H.[Hazem], Daoudi, M.[Mohamed],
3D human motion analysis framework for shape similarity and retrieval,
IVC(32), No. 2, 2014, pp. 131-154.
Elsevier DOI 1403
BibRef
Earlier:
Extremal human curves: A new human body shape and pose descriptor,
FG13(1-6)
IEEE DOI 1309
Motion analysis. image sequences
See also Accurate 3D action recognition using learning on the Grassmann manifold. 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

von Marcard, T.[Timo], Pons-Moll, G.[Gerard], Rosenhahn, B.[Bodo],
Human Pose Estimation from Video and IMUs,
PAMI(38), No. 8, August 2016, pp. 1533-1547.
IEEE DOI 1608
pose estimation 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

del Pero, L.[Luca], Ricco, S.[Susanna], Sukthankar, R.[Rahul], Ferrari, V.[Vittorio],
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video,
IJCV(121), No. 2, January 2017, pp. 303-325.
Springer DOI 1702
BibRef
Earlier:
Discovering the Physical Parts of an Articulated Object Class from Multiple Videos,
CVPR16(714-723)
IEEE DOI 1612

See also Discovering object aspects from video. 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

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

Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu],
2D-3D pose consistency-based conditional random fields for 3D human pose estimation,
CVIU(169), 2018, pp. 52-61.
Elsevier DOI 1804
Human pose estimation, Conditional random fields, Deep learning BibRef

Kawana, Y.[Yuki], Ukita, N.[Norimichi], Huang, J.B.[Jia-Bin], Yang, M.H.[Ming-Hsuan],
Ensemble convolutional neural networks for pose estimation,
CVIU(169), 2018, pp. 62-74.
Elsevier DOI 1804
Human pose estimation, Ensemble models, Pose modality 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

Liu, S., Li, Y., Hua, G.,
Human Pose Estimation in Video via Structured Space Learning and Halfway Temporal Evaluation,
CirSysVideo(29), No. 7, July 2019, pp. 2029-2038.
IEEE DOI 1907
Pose estimation, Streaming media, Maintenance engineering, Convolution, Optimization methods, Human pose estimation, structure learning BibRef

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

Li, Y.[Yang], Li, K.[Kan], Wang, X.[Xinxin], Xu, R.Y.D.[Richard Yi Da],
Exploring temporal consistency for human pose estimation in videos,
PR(103), 2020, pp. 107258.
Elsevier DOI 2005
Video-based pose estimation, Convolution neural network, Temporal information BibRef

Vidanpathirana, M.[Madhawa], Sudasingha, I.[Imesha], Vidanapathirana, J.[Jayan], Kanchana, P.[Pasindu], Perera, I.[Indika],
Tracking and frame-rate enhancement for real-time 2D human pose estimation,
VC(36), No. 7, July 2020, pp. 1501-1519.
Springer DOI 2005
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

Verma, P.[Pratishtha], Srivastava, R.[Rajeev],
Three stage deep network for 3D human pose reconstruction by exploiting spatial and temporal data via its 2D pose,
JVCIR(71), 2020, pp. 102866.
Elsevier DOI 2009
Human Pose Estimation (HPE), Human Pose Reconstruction (HPR), Frame Specific Pose Estimation (FSPE), Feature Residual Connection (FRC) BibRef

Liu, R.X.[Rui-Xu], Shen, J.[Ju], Wang, H.[He], Chen, C.[Chen], Cheung, S.C.[Sen-Ching], Asari, V.K.[Vijayan K.],
Enhanced 3D Human Pose Estimation from Videos by Using Attention-Based Neural Network with Dilated Convolutions,
IJCV(129), No. 5, May 2021, pp. 1596-1615.
Springer DOI 2105
BibRef

Zhang, J.H.[Jun-Hao], Wang, Y.[Yali], Zhou, Z.P.[Zhi-Peng], Luan, T.Y.[Tian-Yu], Wang, Z.[Zhe], Qiao, Y.[Yu],
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos,
IP(30), 2021, pp. 7914-7925.
IEEE DOI 2109
Videos, Convolution, Pose estimation, Wrist, Skeleton, Elbow, 3D human pose estimation, graph convolution, deep learning BibRef

Chen, Y.C.[Yun-Chun], Piccirilli, M.[Marco], Piramuthu, R.[Robinson], Yang, M.H.[Ming-Hsuan],
Self-attentive 3D human pose and shape estimation from videos,
CVIU(213), 2021, pp. 103305.
Elsevier DOI 2112
3D human pose and shape estimation, Self-supervised learning, Occlusion handling BibRef

Cho, H.[Hanbyel], Cho, Y.[Yooshin], Yu, J.M.[Jae-Myung], Kim, J.[Junmo],
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning,
ICCV21(11149-11158)
IEEE DOI 2203
Adaptation models, Solid modeling, Computational modeling, Pose estimation, Distortion, Cameras, Gestures and body pose, Action and behavior recognition BibRef

Luvizon, D.C.[Diogo C.], Picard, D.[David], Tabia, H.[Hedi],
Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates,
IJCV(130), No. 3, March 2022, pp. 869-882.
Springer DOI 2203
BibRef

Yang, J.[Ji], Ma, Y.D.[You-Dong], Zuo, X.X.[Xin-Xin], Wang, S.[Sen], Gong, M.L.[Ming-Lun], Cheng, L.[Li],
3D pose estimation and future motion prediction from 2D images,
PR(124), 2022, pp. 108439.
Elsevier DOI 2203
Pose estimation, Motion prediction, Multitask learning 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
computer vision, graph theory, video signal processing, video signals BibRef

Zhu, A.[Armando], Li, J.[Jiefeng], Lu, C.[Cewu],
Pseudo View Representation Learning for Monocular RGB-D Human Pose and Shape Estimation,
SPLetters(29), 2022, pp. 712-716.
IEEE DOI 2204
Shape, Feature extraction, Training, Point cloud compression, Cameras, Solid modeling, Deep learning, human shape and pose, RGB-D BibRef

Zhou, K.[Kun], Han, X.G.[Xiao-Guang], Jiang, N.Z.[Nian-Zjuan], Jia, K.[Kui], Lu, J.B.[Jiang-Bo],
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation,
PAMI(44), No. 6, June 2022, pp. 3000-3014.
IEEE DOI 2205
BibRef
Earlier:
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation,
ICCV19(2344-2353)
IEEE DOI 2004
Heating systems, Pose estimation, Task analysis, Training, Shape, human body mesh recovery. convolutional neural nets, image representation, learning (artificial intelligence), pose estimation. BibRef

Dang, Y.H.[Yong-Hao], Yin, J.Q.[Jian-Qin], Zhang, S.J.[Shao-Jie],
Relation-Based Associative Joint Location for Human Pose Estimation in Videos,
IP(31), 2022, pp. 3973-3986.
IEEE DOI 2206
Semantics, Pose estimation, Feature extraction, Correlation, Videos, Heating systems, Convolution, Human pose estimation, temporal consistency BibRef

Zhong, J.X.[Jin-Xiao], Jin, L.[Liangnian], Wang, R.[Ran],
Point-convolution-based human skeletal pose estimation on millimetre wave frequency modulated continuous wave multiple-input multiple-output radar,
IET-Bio(11), No. 4, 2022, pp. 333-342.
DOI Link 2207
BibRef

Cao, Y.[Yu], Xie, R.[Rende], Yan, K.[Kun], Fang, S.H.[Shih-Hau], Wu, H.C.[Hsiao-Chun],
Novel Dynamic Segmentation for Human-Posture Learning System Using Hidden Logistic Regression,
SPLetters(29), 2022, pp. 1487-1491.
IEEE DOI 2207
Skeleton, Logistics, Legged locomotion, Data models, Time series analysis, Hidden Markov models, Lifting equipment, hidden logistic regression BibRef

Li, Z.[Zhe], Yu, T.[Tao], Zheng, Z.[Zerong], Liu, Y.B.[Ye-Bin],
Robust and Accurate 3D Self-Portraits in Seconds,
PAMI(44), No. 11, November 2022, pp. 7854-7870.
IEEE DOI 2210
Single RGBD camera. Description. Image reconstruction, Bundle adjustment, Surface reconstruction, Solid modeling, Shape, Strain, Parametric statistics, texture optimization BibRef

Artacho, B.[Bruno], Savakis, A.[Andreas],
UniPose+: A Unified Framework for 2D and 3D Human Pose Estimation in Images and Videos,
PAMI(44), No. 12, December 2022, pp. 9641-9653.
IEEE DOI 2212
BibRef
Earlier:
UniPose: Unified Human Pose Estimation in Single Images and Videos,
CVPR20(7033-7042)
IEEE DOI 2008
Pose estimation, Videos, Computer architecture, Task analysis, Decoding, Biological system modeling, Human pose estimation, deep learning. Convolution, Semantics, Image resolution. BibRef

Clever, H.M.[Henry M.], Grady, P.L.[Patrick L.], Turk, G.[Greg], Kemp, C.C.[Charles C.],
BodyPressure - Inferring Body Pose and Contact Pressure From a Depth Image,
PAMI(45), No. 1, January 2023, pp. 137-153.
IEEE DOI 2212
Data models, Cameras, Physics, Computational modeling, Injuries, Image reconstruction, Human pose estimation, bodies at rest, pressure injury BibRef

Jin, K.M.[Kyung-Min], Lim, B.S.[Byoung-Sung], Lee, G.H.[Gun-Hee], Kang, T.K.[Tae-Kyung], Lee, S.W.[Seong-Whan],
Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos,
WACV23(5714-5723)
IEEE DOI 2302
Solid modeling, Uncertainty, Computational modeling, Pose estimation, Kinematics, Jitter, Algorithms: Biometrics, face BibRef

Shuai, H.[Hui], Wu, L.[Lele], Liu, Q.S.[Qing-Shan],
Adaptive Multi-View and Temporal Fusing Transformer for 3D Human Pose Estimation,
PAMI(45), No. 4, April 2023, pp. 4122-4135.
IEEE DOI 2303
Transformers, Cameras, Feature extraction, Pose estimation, Calibration, Fuses, 3D human pose estimation, temporal fusing transformer BibRef

Bai, G.[Guihu], Luo, Y.M.[Yan-Min], Pan, X.L.[Xue-Liang], Wang, J.[Jia], Guo, J.M.[Jing-Ming],
Real-time 3D human pose estimation without skeletal a priori structures,
IVC(132), 2023, pp. 104649.
Elsevier DOI 2303
3D Human pose estimation, Without human skeleton structure, Weight circular sharing, Weighted residual connection BibRef

Grund, C.[Christian], Tanke, J.[Julian], Gall, J.[Juergen],
ElliPose: Stereoscopic 3D Human Pose Estimation by Fitting Ellipsoids,
WACV23(2870-2880)
IEEE DOI 2302
Stereo image processing, Pose estimation, Fitting, Virtual reality, Cameras, Bones, Algorithms: 3D computer vision BibRef

Lee, S.P.[Shih-Po], Kini, N.P.[Niraj Prakash], Peng, W.H.[Wen-Hsiao], Ma, C.W.[Ching-Wen], Hwang, J.N.[Jenq-Neng],
HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar,
WACV23(5704-5713)
IEEE DOI 2302
Training, Pose estimation, Millimeter wave radar, Benchmark testing, Radar imaging, Radar antennas, ethical computer vision BibRef

\ Ye, H.[Hang], Zhu, W.T.[Wen-Tao], Wang, C.Y.[Chun-Yu], Wu, R.J.[Ru-Jie], Wang, Y.Z.[Yi-Zhou],
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection,
ECCV22(VI:142-159).
Springer DOI 2211
BibRef

Huang, L.[Linzhi], Liang, J.H.[Jia-Hao], Deng, W.H.[Wei-Hong],
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation,
ECCV22(VI:436-453).
Springer DOI 2211
BibRef

Zeng, A.[Ailing], Ju, X.[Xuan], Yang, L.[Lei], Gao, R.Y.[Rui-Yuan], Zhu, X.Z.[Xi-Zhou], Dai, B.[Bo], Xu, Q.[Qiang],
DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimationo,
ECCV22(V:607-624).
Springer DOI 2211
BibRef

Amadi, L.[Lawrence], Agam, G.[Gady],
Boosting the Performance of Weakly-Supervised 3d Human Pose Estimators With Pose Prior Regularizers,
ICIP22(1791-1795)
IEEE DOI 2211
Geometry, Pose estimation, Kinematics, Network architecture, Bones, pose estimation, weak supervision, pose prior regularizers, joint mobility constraint BibRef

Chen, Z.[Zhuo], Zhao, X.[Xu], Wan, X.Y.[Xiao-Yue],
Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation,
ECCV22(V:695-711).
Springer DOI 2211
BibRef

Shan, W.K.[Wen-Kang], Liu, Z.H.[Zhen-Hua], Zhang, X.F.[Xin-Feng], Wang, S.S.[Shan-She], Ma, S.W.[Si-Wei], Gao, W.[Wen],
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation,
ECCV22(V:461-478).
Springer DOI 2211
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

Ma, H.Y.[Hao-Yu], Wang, Z.[Zhe], Chen, Y.[Yifei], Kong, D.[Deying], Chen, L.J.[Liang-Jian], Liu, X.W.[Xing-Wei], Yan, X.Y.[Xiang-Yi], Tang, H.[Hao], Xie, X.H.[Xiao-Hui],
PPT: Token-Pruned Pose Transformer for Monocular and Multi-view Human Pose Estimation,
ECCV22(V:424-442).
Springer DOI 2211
BibRef

Ianina, A.[Anastasia], Sarafianos, N.[Nikolaos], Xu, Y.L.[Yuan-Lu], Rocco, I.[Ignacio], Tung, T.[Tony],
BodyMap: Learning Full-Body Dense Correspondence Map,
CVPR22(13276-13285)
IEEE DOI 2210
Surface reconstruction, Solid modeling, Tracking, Semantics, Pose estimation, Network architecture, Motion and tracking BibRef

Zhang, J.[Jinlu], Tu, Z.G.[Zhi-Gang], Yang, J.Y.[Jian-Yu], Chen, Y.J.[Yu-Jin], Yuan, J.S.[Jun-Song],
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video,
CVPR22(13222-13232)
IEEE DOI 2210
Solid modeling, Correlation, Pose estimation, Coherence, Transformers, Solids, Pose estimation and tracking, Face and gestures BibRef

Fan, Z.P.[Zhi-Peng], Liu, J.[Jun], Wang, Y.[Yao],
Motion Adaptive Pose Estimation from Compressed Videos,
ICCV21(11699-11708)
IEEE DOI 2203
Adaptation models, Computational modeling, Pose estimation, Logic gates, Feature extraction, Computational complexity, Detection and localization in 2D and 3D 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

Zheng, C.[Ce], Zhu, S.[Sijie], Mendieta, M.[Matias], Yang, T.[Taojiannan], Chen, C.[Chen], Ding, Z.M.[Zheng-Ming],
3D Human Pose Estimation with Spatial and Temporal Transformers,
ICCV21(11636-11645)
IEEE DOI 2203
Convolutional codes, Solid modeling, Computational modeling, Pose estimation, Computer architecture, Gestures and body pose, BibRef

Sengupta, A.[Akash], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild,
ICCV21(11199-11209)
IEEE DOI 2203
Measurement, Visualization, Uncertainty, Shape, Pose estimation, Kinematics, Gestures and body pose, 3D from a single image and shape-from-x BibRef

Lin, H.H.[Hong-Hui], Cheng, J.L.[Jia-Le], Li, Y.[Yu], Zhang, X.[Xin],
Temporal-Spatial Deformable Pose Network for Skeleton-Based Gesture Recognition,
ICIP21(2324-2328)
IEEE DOI 2201
Image recognition, Convolution, Video sequences, Gesture recognition, Feature extraction, Skeleton, Hardware, action recognition 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

Choi, H.[Hongsuk], Moon, G.[Gyeongsik], Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu],
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video,
CVPR21(1964-1973)
IEEE DOI 2111
Image resolution, Codes, Shape, Estimation, Pattern recognition 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

Mourot, L.[Lucas], Clerc, F.L.[François Le], Thébault, C.[Cédric], Hellier, P.[Pierre],
JUMPS: Joints Upsampling Method for Pose Sequences,
ICPR21(1096-1103)
IEEE DOI 2105
Recurrent neural networks, Surveillance, Pose estimation, Machine learning, Generative adversarial networks BibRef

Wang, J.B.[Jing-Bo], Yan, S.[Sijie], Xiong, Y.J.[Yuan-Jun], Lin, D.[Dahua],
Motion Guided 3d Pose Estimation from Videos,
ECCV20(XIII:764-780).
Springer DOI 2011
Code, Pose Estimation.
HTML Version. 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

Xu, J., Yu, Z., Ni, B., Yang, J., Yang, X., Zhang, W.,
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation,
CVPR20(896-905)
IEEE DOI 2008
Pose estimation, Kinematics, Solid modeling, Task analysis, Trajectory 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

Wu, C., Chen, Y., Luo, J., Su, C., Dawane, A., Hanzra, B., Deng, Z., Liu, B., Wang, J.Z., Kuo, C.,
MEBOW: Monocular Estimation of Body Orientation in the Wild,
CVPR20(3448-3458)
IEEE DOI 2008
Pose estimation, Solid modeling, Training, Biological system modeling, Labeling, Task analysis BibRef

Huang, F.Y.[Fu-Yang], Zeng, A.L.[Ai-Ling], Liu, M.H.[Min-Hao], Lai, Q.X.[Qiu-Xia], Xu, Q.[Qiang],
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image,
WACV20(418-427)
IEEE DOI 2006
Pose estimation, Fuses, Bones, Cameras 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

Wang, L., Chen, Y., Guo, Z., Qian, K., Lin, M., Li, H., Ren, J.S.,
Generalizing Monocular 3D Human Pose Estimation in the Wild,
GMDL19(4024-4033)
IEEE DOI 2004
image motion analysis, neural nets, pose estimation, stereo image processing, monocular 3D Human pose estimation, In the Wild Images BibRef

Nie, X.C.[Xue-Cheng], Li, Y.C.[Yun-Cheng], Luo, L.J.[Lin-Jie], Zhang, N.[Ning], Feng, J.S.[Jia-Shi],
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos,
ICCV19(6941-6949)
IEEE DOI 2004
learning (artificial intelligence), neural nets, pose estimation, video signal processing, light-weight distillator, temporal cues, Knowledge engineering BibRef

Li, Z., Wang, X., Wang, F., Jiang, P.,
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos,
ICCV19(2192-2201)
IEEE DOI 2004
learning (artificial intelligence), pose estimation, richly annotated training data, training dataset, baseline model, Feature extraction BibRef

Cheng, Y., Yang, B., Wang, B., Wending, Y., Tan, R.,
Occlusion-Aware Networks for 3D Human Pose Estimation in Video,
ICCV19(723-732)
IEEE DOI 2004
convolutional neural nets, image sequences, learning (artificial intelligence), pose estimation, Training BibRef

Luo, Y.[Yue], Ren, J.[Jimmy], Wang, Z.X.[Zhou-Xia], Sun, W.X.[Wen-Xiu], Pan, J.S.[Jin-Shan], Pang, J.H.[Jia-Hao], Lin, L.[Liang],
LSTM Pose Machines,
CVPR18(5207-5215)
IEEE DOI 1812
Videos, Pose estimation, Computational modeling, Recurrent neural networks, Computer architecture, Benchmark testing BibRef

Fieraru, M., Khoreva, A., Pishchulin, L., Schiele, B.,
Learning to Refine Human Pose Estimation,
Crowd18(318-31809)
IEEE DOI 1812
Pose estimation, Task analysis, Predictive models, Videos, Training, Data models, Benchmark testing BibRef

Andriluka, M., Iqbal, U., Insafutdinov, E., Pishchulin, L., Milan, A., Gall, J., Schiele, B.,
PoseTrack: A Benchmark for Human Pose Estimation and Tracking,
CVPR18(5167-5176)
IEEE DOI 1812
Pose estimation, Benchmark testing, Task analysis, Tracking, Training, Video sequences, Sports BibRef

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

Li, W.T.[Wen-Tian], Xu, X.Y.[Xiang-Yu], Zhang, Y.J.[Yu-Jin],
Temporal Feature Correlation for Human Pose Estimation in Videos,
ICIP19(599-603)
IEEE DOI 1910
Human pose estimation, feature correlation, temporal consistency, CNN 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

Li, Z., Wu, M., Zhou, W., Yu, J.,
4D Human Body Correspondences from Panoramic Depth Maps,
CVPR18(2877-2886)
IEEE DOI 1812
Shape, Training, Reliability, Cameras, Rendering (computer graphics), Solid modeling 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

Dabral, R.[Rishabh], Mundhada, A.[Anurag], Kusupati, U.[Uday], Afaque, S.[Safeer], Sharma, A.[Abhishek], Jain, A.[Arjun],
Learning 3D Human Pose from Structure and Motion,
ECCV18(IX: 679-696).
Springer DOI 1810
BibRef

von Marcard, T.[Timo], Henschel, R.[Roberto], Black, M.J.[Michael J.], Rosenhahn, B.[Bodo], Pons-Moll, G.[Gerard],
Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera,
ECCV18(X: 614-631).
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

Song, J.[Jie], Chen, X.[Xu], Hilliges, O.[Otmar],
Human Body Model Fitting by Learned Gradient Descent,
ECCV20(XX:744-760).
Springer DOI 2011
BibRef

Song, J.[Jie], Wang, L.M.[Li-Min], 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

Trumble, M.[Matthew], Gilbert, A.[Andrew], Hilton, A.[Adrian], Collomosse, J.P.[John P.],
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling,
ECCV18(X: 800-816).
Springer DOI 1810
BibRef
Earlier:
Learning Markerless Human Pose Estimation from Multiple Viewpoint Video,
VARVAI16(III: 871-878).
Springer DOI 1611
BibRef

Sümer, Ö.[Ömer], Dencker, T.[Tobias], Ommer, B.[Björn],
Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos,
ICCV17(4308-4317)
IEEE DOI 1802
data mining, feedforward neural nets, image motion analysis, image representation, image retrieval, Videos BibRef

Varol, G.[Gül], Romero, J.[Javier], Martin, X.[Xavier], Mahmood, N.[Naureen], Black, M.J.[Michael J.], Laptev, I.[Ivan], Schmid, C.[Cordelia],
Learning from Synthetic Humans,
CVPR17(4627-4635)
IEEE DOI 1711
Human pose, shape and motion. Estimation, Image segmentation, Motion segmentation, Shape, Solid modeling, 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

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, image motion analysis, pose estimation, regression analysis, stereo image processing, 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

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

Pavlakos, G., Zhou, X., Derpanis, K.G., Daniilidis, K.,
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations,
CVPR17(1253-1262)
IEEE DOI 1711
Heating systems, Reliability, Solid modeling, Training, BibRef

Pavlakos, G., Zhou, X., Derpanis, K.G., Daniilidis, K.,
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose,
CVPR17(1263-1272)
IEEE DOI 1711
Color, Optimization, Pose estimation, Training, BibRef

Zhou, X., Zhu, M., Leonardos, S., Derpanis, K.G., Daniilidis, K.,
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video,
CVPR16(4966-4975)
IEEE DOI 1612
BibRef

Singh, D., Balasubramanian, V., Jawahar, C.V.,
Fine-tuning human pose estimations in videos,
WACV16(1-9)
IEEE DOI 1606
Computational modeling; Data models; Tracking; Videos; Wrist BibRef

Zhang, D., Shah, M.,
Human Pose Estimation in Videos,
ICCV15(2012-2020)
IEEE DOI 1602
Computational complexity BibRef

Saad, M.H.M.[Mohamad Hanif Md], Shukri, M.F.M.[Muhammad Faiz Mohd], Kong, W.[Win], Baharuddin, W.N.A.[Wan Noor Aziezan], Hussain, A.[Aini],
Real Time Object Oriented 6-Point Skeleton Extraction Component from Human Silhouette for Video Surveillance and Analysis Application,
IVIC15(367-380).
Springer DOI 1511
BibRef

Chang, H.J.[Hyung Jin], Demiris, Y.[Yiannis],
Unsupervised learning of complex articulated kinematic structures combining motion and skeleton information,
CVPR15(3138-3146)
IEEE DOI 1510
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

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

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

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

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

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

Shafaei, A.[Alireza], Little, J.J.[James J.], Schmidt, M.[Mark],
Play and Learn: Using Video Games to Train Computer Vision Models,
BMVC16(xx-yy).
HTML Version. 1805
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Gupta, A.[Ankur], Shafaei, A.[Alireza], Little, J.J.[James J.], Woodham, R.J.[Robert J.],
Unlabelled 3D Motion Examples Improve Cross-View Action Recognition,
BMVC14(xx-yy).
HTML Version. 1410
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Gupta, A.[Ankur], Martinez, J.[Julieta], Little, J.J.[James J.], Woodham, R.J.[Robert J.],
3D Pose from Motion for Cross-View Action Recognition via Non-linear Circulant Temporal Encoding,
CVPR14(2601-2608)
IEEE DOI 1409
BibRef

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

Chen, H.T.[Hua-Tsung], He, Y.Z.[Yu-Zhen], Hsu, C.C.[Chun-Chieh], Chou, C.L.[Chien-Li], Lee, S.Y.[Suh-Yin], Lin, B.S.P.[Bao-Shuh P.],
Yoga Posture Recognition for Self-training,
MMMod14(I: 496-505).
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

Zuffi, S.[Silvia], Romero, J.[Javier], Schmid, C.[Cordelia], Black, M.J.[Michael J.],
Estimating Human Pose with Flowing Puppets,
ICCV13(3312-3319)
IEEE DOI 1403
human pose estimation; optical flow; video 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

Han, L.[Li], Hu, J.Y.[Jiang-Yue], Li, L.[Lin],
Structure Descriptor for Articulated Shape Analysis,
ISVC13(I:171-180).
Springer DOI 1310
BibRef

Anzalone, S.M.[Salvatore Maria], Chetouani, M.[Mohamed],
Tracking Posture and Head Movements of Impaired People During Interactions with Robots,
ACVR13(41-49).
Springer DOI 1309
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

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

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

Sapp, B.[Ben], Taskar, B.[Ben],
MODEC: Multimodal Decomposable Models for Human Pose Estimation,
CVPR13(3674-3681)
IEEE DOI 1309

See also FLIC: Frames Labelled in Cinema. BibRef

Kalafatlar, E.[Emre], Yemez, Y.[Yucel],
3D Articulated Shape Segmentation Using Motion Information,
ICPR10(3595-3598).
IEEE DOI 1008
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
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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
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Sharma, A.M.[Anima Mishra], Venkatesh, K.S., Mukerjee, A.[Amitabha],
Human pose estimation in surveillance videos using temporal continuity on static pose,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Germann, M., Popa, T., Ziegler, R., Keiser, R., Gross, M.,
Space-Time Body Pose Estimation in Uncontrolled Environments,
3DIMPVT11(244-251).
IEEE DOI 1109
BibRef

Straka, M.[Matthias], Hauswiesner, S.[Stefan], Rüther, M.[Matthias], Bischof, H.[Horst],
Rapid Skin: Estimating the 3D Human Pose and Shape in Real-Time,
3DIMPVT12(41-48).
IEEE DOI 1212
BibRef
And:
Simultaneous Shape and Pose Adaption of Articulated Models Using Linear Optimization,
ECCV12(I: 724-737).
Springer DOI 1210
BibRef
And:
Skeletal Graph Based Human Pose Estimation in Real-Time,
BMVC11(xx-yy).
HTML Version. 1110
Award, BMVC, Best Supplementary Material. 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

Sfiris, G.[Georgios], Nikolaidis, N.[Nikolaos], Pitas, I.[Ioannis],
Multi-view object and human body part detection utilizing 3D scene information,
ICIP10(29-32).
IEEE DOI 1009
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

El-Sallam, A.A.[Amar A.], Mian, A.S.[Ajmal S.],
Human Body Pose Estimation from Still Images and Video Frames,
ICIAR10(I: 176-188).
Springer DOI 1006
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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

Shen, Y.P.[Yu-Ping], Foroosh, H.[Hassan],
View-invariant recognition of body pose from space-time templates,
CVPR08(1-6).
IEEE DOI 0806
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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
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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
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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
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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
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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],
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CVPR10(1379-1386).
IEEE DOI 1006
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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
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Lao, W.[Weilun], Han, J.G.[Jun-Gong], de With, P.H.N.[Peter H. N.],
Fast Detection and Modeling of Human-Body Parts from Monocular Video,
AMDO08(xx-yy).
Springer DOI 0807
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Lee, S.H.[Seok-Han], Choi, J.S.[Jong-Soo],
A Single-View Based Framework for Robust Estimation of Height and Position of Moving People,
PSIVT07(562-574).
Springer DOI 0712
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Shaji, A., Chandran, S., Siddiquie, B., Suter, D.,
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BMVC07(xx-yy).
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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
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Grest, D.[Daniel], Herzog, D.L.[Dennis L.], Koch, R.[Reinhard],
Monocular Body Pose Estimation by Color Histograms and Point Tracking,
DAGM06(576-586).
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Ishiyama, R.[Rui], Ikeda, H.[Hiroo], Sakamoto, S.[Shizuo],
A Compact Model of Human Postures Extracting Common Motion from Individual Samples,
ICPR06(I: 187-190).
IEEE DOI 0609
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Fua, P.,
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BMVC04(xx-yy).
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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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Lim, H.W.A.[Hock Wyi Aloysius], Guo, D.[Dong], Huang, Z.Y.[Zhi-Yong], Tan, T.L.[Te-Le],
Human posture recognition in video sequence using pseudo 2-D hidden Markov models,
ICARCV04(I: 712-716).
IEEE DOI 0412
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Yonemoto, S., Nakano, H., Taniguchi, R.,
Real-time human figure control using tracked blobs,
CIAP03(127-132).
IEEE DOI 0310
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Rosales, R., Siddiqui, M., Alon, J., Sclaroff, S.[Stan],
Estimating 3D Body Pose using Uncalibrated Cameras,
CVPR01(I:821-827).
IEEE DOI 0110
3D models, fit to the image. BibRef

Rosales, R.[Romer], Sclaroff, S.[Stan],
Specialized Mappings and the Estimation of Human Body Pose from a Single Image,
HUMO00(19-24).
IEEE Top Reference. 0010
BibRef

Rosales, R.[Romer], Sclaroff, S.[Stan],
Inferring Body Pose without Tracking Body Parts,
CVPR00(II: 721-727).
IEEE DOI 0005
BibRef
And:
Learning and synthesizing human body motion and posture,
AFGR00(506-511).
IEEE DOI 0003
BibRef

Covell, M.M.[Michele M.], Rahimi, A.[Ali], Harville, M.[Michael], Darrell, T.J.[Trevor J.],
Articulated-Pose Estimation using Brightness and Depth-Constancy Constraints,
CVPR00(II: 438-445).
IEEE DOI 0005
BibRef

Harville, M., Rahimi, A., Darrell, T.J., Gordon, G.G., Woodfill, J.I.,
3D Pose Tracking with Linear Depth and Brightness Constraints,
ICCV99(206-213).
IEEE DOI BibRef 9900

Shimada, S., Ishida, K., Ohtsuka, S.,
Human Body Posture Measurement by Matching Foot Pressure Distribution to Video Images,
ICPR00(Vol IV: 188-191).
IEEE DOI 0009
BibRef

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