22.4.1.10 Human Pose Recognition 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

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

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

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

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

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

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

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

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

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

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

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

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, 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

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

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

Zhu, A.[Armando], Li, J.F.[Jie-Feng], 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.R.[Ze-Rong], 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

Li, X.[Xi],
Multi-view Canonical Pose 3d Human Body Reconstruction Based on Volumetric Tsdf,
PeopleAn22(392-397).
Springer DOI 2304
BibRef

Li, W.H.[Wen-Hao], Liu, H.[Hong], Ding, R.[Runwei], Liu, M.Y.[Meng-Yuan], Wang, P.[Pichao], Yang, W.M.[Wen-Ming],
Exploiting Temporal Contexts With Strided Transformer for 3D Human Pose Estimation,
MultMed(25), 2023, pp. 1282-1293.
IEEE DOI 2305
Transformers, Pose estimation, Task analysis, Videos, Solid modeling, strided convolution BibRef

Zhang, S.P.[Sheng-Ping], Wang, C.Y.[Chen-Yang], Nie, L.Q.[Li-Qiang], Yao, H.X.[Hong-Xun], Huang, Q.M.[Qing-Ming], Tian, Q.[Qi],
Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation,
IJCV(131), No. 6, June 2023, pp. 1566-1583.
Springer DOI 2305
BibRef
And: Correction: IJCV(131), No. 1, January 2023, pp. 3119-3119.
Springer DOI 2310
BibRef

Liu, H.[Huan], Liu, W.T.[Wen-Tao], Chi, Z.X.[Zhi-Xiang], Wang, Y.[Yang], Yu, Y.H.[Yuan-Hao], Chen, J.[Jun], Tang, J.[Jin],
Fast Human Pose Estimation in Compressed Videos,
MultMed(25), 2023, pp. 1390-1400.
IEEE DOI 2305
Videos, Pose estimation, Task analysis, Image coding, Semantics, Motion segmentation, Real-time systems, Human pose estimation, deep neural network BibRef

D'Eusanio, A.[Andrea], Simoni, A.[Alessandro], Pini, S.[Stefano], Borghi, G.[Guido], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Depth-based 3D human pose refinement: Evaluating the refinet framework,
PRL(171), 2023, pp. 185-191.
Elsevier DOI 2306
3D Human pose estimation, Human pose refinement, Depth maps, Point cloud BibRef

Xu, J.F.[Jian-Feng], Komorita, S.[Satoshi], Kawamura, K.[Kei],
FSPose: A Heterogeneous Framework with Fast and Slow Networks for Human Pose Estimation in Videos,
IEICE(E106-D), No. 6, June 2023, pp. 1165-1174.
WWW Link. 2306
BibRef

Chao, X.J.[Xian-Jin], Ge, Z.P.[Zhi-Peng], Leung, H.[Howard],
Video2mesh: 3D human pose and shape recovery by a temporal convolutional transformer network,
IET-CV(17), No. 4, 2023, pp. 379-388.
DOI Link 2306
image motion analysis, motion estimation, pose estimation, shape measurement, video signal processing BibRef

Jafarian, Y.[Yasamin], Park, H.S.[Hyun Soo],
Self-Supervised 3D Representation Learning of Dressed Humans From Social Media Videos,
PAMI(45), No. 7, July 2023, pp. 8969-8983.
IEEE DOI 2306
Geometry, Videos, Image reconstruction, Solid modeling, Surface reconstruction, Humanities, Depth estimation, dataset, self-supervised learning BibRef

Carbonera-Luvizon, D.[Diogo], Tabia, H.[Hedi], Picard, D.[David],
SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression,
PR(142), 2023, pp. 109714.
Elsevier DOI 2307
3D Human pose estimation, Neural nets BibRef

Zhang, J.F.[Jian-Feng], Gong, K.[Kehong], Wang, X.C.[Xin-Chao], Feng, J.S.[Jia-Shi],
Learning to Augment Poses for 3D Human Pose Estimation in Images and Videos,
PAMI(45), No. 8, August 2023, pp. 10012-10026.
IEEE DOI 2307
Training, Data models, Pose estimation, Training data, Solid modeling, Videos, Artificial intelligence, supervised learning BibRef

Hassan, M.T.[Md. Tanvir], Ben Hamza, A.,
Regular Splitting Graph Network for 3D Human Pose Estimation,
IP(32), 2023, pp. 4212-4222.
IEEE DOI 2308
Pose estimation, Transformers, Modulation, Solid modeling, Videos, Training, Human pose estimation, regular splitting, modulation, skip connection BibRef

Islam, Z.[Zaedul], Ben Hamza, A.,
Iterative graph filtering network for 3D human pose estimation,
JVCIR(95), 2023, pp. 103908.
Elsevier DOI 2309
Human pose estimation, Graph regularization, Gauss-Seidel, Modulation, Skip connection BibRef

Ghafoor, M.[Mehwish], Mahmood, A.[Arif],
Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation Framework,
MultMed(25), 2023, pp. 3311-3318.
IEEE DOI 2309
BibRef

Xiang, X.Z.[Xue-Zhi], Zhang, K.X.[Kai-Xu], Qiao, Y.L.[Yu-Long], El Saddik, A.[Abdulmotaleb],
EMHIFormer: An Enhanced Multi-Hypothesis Interaction Transformer for 3D human pose estimation in video,
JVCIR(95), 2023, pp. 103890.
Elsevier DOI 2309
3D human pose estimation, Transformer, Cross-hypothesis, Enhanced regression head BibRef

Wan, X.Y.[Xiao-Yue], Chen, Z.[Zhuo], Zhao, X.[Xu],
View consistency aware holistic triangulation for 3D human pose estimation,
CVIU(236), 2023, pp. 103830.
Elsevier DOI 2310
3D pose estimation, View consistency, Pose coherence, Anatomy prior BibRef

Kim, H.W.[Hyun-Woo], Lee, G.H.[Gun-Hee], Nam, W.J.[Woo-Jeoung], Jin, K.M.[Kyung-Min], Kang, T.K.[Tae-Kyung], Yang, G.J.[Geon-Jun], Lee, S.W.[Seong-Whan],
MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video,
PR(145), 2024, pp. 109908.
Elsevier DOI 2311
3D human pose, Self-supervised learning, Multi-view geometry BibRef

Tang, Z.H.[Zhen-Hua], Li, J.[Jia], Hao, Y.[Yanbin], Hong, R.C.[Ri-Chang],
MLP-JCG: Multi-Layer Perceptron With Joint-Coordinate Gating for Efficient 3D Human Pose Estimation,
MultMed(25), 2023, pp. 8712-8724.
IEEE DOI 2312
BibRef

Chen, L.[Lu], Liu, Q.[Qiong],
Relation-balanced graph convolutional network for 3D human pose estimation,
IVC(140), 2023, pp. 104841.
Elsevier DOI 2312
3D human pose estimation, Graph convolutional network, Relation modeling, Feature fusion BibRef

Liu, X.[Xing], Tang, H.[Hao],
STRFormer: Spatial-Temporal-ReTemporal Transformer for 3D human pose estimation,
IVC(140), 2023, pp. 104863.
Elsevier DOI 2312
3D human pose estimation, Spatial-temporal-ReTemporal, Transformer, Reverse temporal encoder, MPJAE loss BibRef

Gai, D.[Di], Feng, R.Y.[Run-Yang], Min, W.D.[Wei-Dong], Yang, X.S.[Xiao-Song], Su, P.X.[Peng-Xiang], Wang, Q.[Qi], Han, Q.[Qing],
Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation,
CirSysVideo(33), No. 9, September 2023, pp. 4564-4576.
IEEE DOI 2310
BibRef

Feng, R.Y.[Run-Yang], Gao, Y.X.[Yi-Xing], Tse, T.H.E.[Tze Ho Elden], Ma, X.Q.[Xue-Qing], Chang, H.J.[Hyung Jin],
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation,
ICCV23(14815-14826)
IEEE DOI 2401
BibRef

Xie, C.Y.[Chun-Yang], Zhang, D.H.[Dong-Heng], Wu, Z.[Zhi], Yu, C.[Cong], Hu, Y.[Yang], Chen, Y.[Yan],
RPM: RF-Based Pose Machines,
MultMed(26), 2024, pp. 637-649.
IEEE DOI 2402
Skeleton, RF signals, Radio frequency, Feature extraction, Cameras, Sensors, RF sensing, 3D human pose estimation, deep learning, smart homes BibRef

Yu, C.[Cong], Zhang, D.H.[Dong-Heng], Wu, Z.[Zhi], Xie, C.Y.[Chun-Yang], Lu, Z.[Zhi], Hu, Y.[Yang], Chen, Y.[Yan],
MobiRFPose: Portable RF-Based 3D Human Pose Camera,
MultMed(26), 2024, pp. 3715-3727.
IEEE DOI 2402
RF signals, Antenna arrays, Pose estimation, Radio frequency, Cameras, Computational modeling, Human pose estimation, wireless sensing BibRef

Wang, Y.[Yong], Kang, H.B.[Hong-Bo], Wu, D.[Doudou], Yang, W.M.[Wen-Ming], Zhang, L.B.[Long-Bin],
Global and Local Spatio-Temporal Encoder for 3D Human Pose Estimation,
MultMed(26), 2024, pp. 4039-4049.
IEEE DOI 2402
Correlation, Transformers, Pose estimation, Videos, Task analysis, Solid modeling, 3D Human pose estimation, transformer, parallel attention BibRef

Tang, Z.H.[Zhen-Hua], Hao, Y.[Yanbin], Li, J.[Jia], Hong, R.C.[Ri-Chang],
FTCM: Frequency-Temporal Collaborative Module for Efficient 3D Human Pose Estimation in Video,
CirSysVideo(34), No. 2, February 2024, pp. 911-923.
IEEE DOI Code:
WWW Link. 2402
Correlation, Pose estimation, Computational modeling, Transformers, Time-frequency analysis, Context modeling, temporal elementwise calibrator BibRef

Wang, R.B.[Rui-Bin], Ying, X.H.[Xiang-Hua], Xing, B.[Bowei],
Exploiting Temporal Correlations for 3D Human Pose Estimation,
MultMed(26), 2024, pp. 4527-4539.
IEEE DOI 2403
Correlation, Pose estimation, Decoding, Training, Solid modeling, Convolution, 3D human pose estimation, Temporal correlation, Sequence modeling BibRef

Du, S.L.[Song-Lin], Yuan, Z.W.[Zhi-Wei], Ikenaga, T.[Takeshi],
Kinematics-aware spatial-temporal feature transform for 3D human pose estimation,
PR(150), 2024, pp. 110316.
Elsevier DOI 2403
3D human pose estimation, Hybrid-kinematical feature encoder, Spatial-temporal feature transform, Kinematics awareness BibRef

Dang, Y.H.[Yong-Hao], Yin, J.Q.[Jian-Qin], Zhang, S.J.[Shao-Jie], Liu, J.P.[Ji-Ping], Hu, Y.Z.[Yan-Zhu],
Kinematics modeling network for video-based human pose estimation,
PR(150), 2024, pp. 110287.
Elsevier DOI Code:
WWW Link. 2403
Human pose estimation, Relational modeling, Keypoint detection BibRef

Zhou, X.L.[Xiao-Long], Jin, T.[Tian], Dai, Y.[Yongpeng], Song, Y.P.[Yong-Ping], Li, K.[Kemeng],
Three-Dimensional Human Pose Estimation from Micro-Doppler Signature Based on SISO UWB Radar,
RS(16), No. 7, 2024, pp. 1295.
DOI Link 2404
BibRef

Mehraban, S.[Soroush], Adeli, V.[Vida], Taati, B.[Babak],
MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network,
WACV24(6905-6915)
IEEE DOI Code:
WWW Link. 2404
Adaptation models, Solid modeling, Computational modeling, Pose estimation, Stacking, Transformers, Algorithms, body pose BibRef

Zhang, Y.F.[Yu-Fei], Kephart, J.O.[Jeffrey O.], Ji, Q.[Qiang],
Incorporating Physics Principles for Precise Human Motion Prediction,
WACV24(6152-6162)
IEEE DOI 2404
Computational modeling, Neural networks, Predictive models, Mathematical models, Data models, Algorithms, Biometrics, face, body pose BibRef

Jiang, Z.Y.[Zhong-Yu], Zhou, Z.[Zhuoran], Li, L.[Lei], Chai, W.H.[Wen-Hao], Yang, C.Y.[Cheng-Yen], Hwang, J.N.[Jenq-Neng],
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation,
WACV24(6130-6140)
IEEE DOI Code:
WWW Link. 2404
Learning systems, Training, Solid modeling, Pose estimation, Pipelines, Algorithms, Biometrics, face, gesture, body pose, Algorithms, 3D computer vision BibRef

Yang, J.H.[Jia-Hao], Ma, W.[Wufei], Wang, A.[Angtian], Yuan, X.D.[Xiao-Ding], Yuille, A.[Alan], Kortylewski, A.[Adam],
Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data,
WACV24(3434-3443)
IEEE DOI Code:
WWW Link. 2404
Adaptation models, Solid modeling, Annotations, Computational modeling, Pose estimation, Algorithms, Image recognition and understanding BibRef

Matsune, A.[Ai], Hu, S.[Shichen], Li, G.Q.[Guang-Quan], Wen, S.[Sihan], Zhu, X.T.[Xian-Tan], Tan, Z.M.[Zhi-Ming],
A Geometry Loss Combination for 3D Human Pose Estimation,
WACV24(3260-3269)
IEEE DOI 2404
Geometry, Torso, Computational modeling, Biological system modeling, Pose estimation, Algorithms, Video recognition and understanding BibRef

Wang, Y.F.[Ying-Feng], Wang, Z.W.[Zheng-Wei], Li, M.[Muyu], Yan, H.[Hong],
3D Human Pose Estimation with Two-step Mixed-Training Strategy,
WACV24(3320-3329)
IEEE DOI 2404
Training, Solid modeling, Correlation, Pose estimation, Transformers, Vectors, Algorithms, 3D computer vision BibRef

Shan, W.K.[Wen-Kang], Liu, Z.H.[Zhen-Hua], Zhang, X.F.[Xin-Feng], Wang, Z.[Zhao], Han, K.[Kai], Wang, S.S.[Shan-She], Ma, S.W.[Si-Wei], Gao, W.[Wen],
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation,
ICCV23(14715-14725)
IEEE DOI Code:
WWW Link. 2401
BibRef

Jiang, B.[Boyuan], Hu, L.[Lei], Xia, S.H.[Shi-Hong],
Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation,
ICCV23(14804-14814)
IEEE DOI Code:
WWW Link. 2401
BibRef

Taketsugu, H.[Hiromu], Ukita, N.[Norimichi],
Active Transfer Learning for Efficient Video-Specific Human Pose Estimation,
WACV24(1869-1879)
IEEE DOI Code:
WWW Link. 2404
BibRef
Earlier:
Uncertainty Criteria in Active Transfer Learning for Efficient Video-Specific Human Pose Estimation,
MVA23(1-5)
DOI Link 2403
Training, Heating systems, Uncertainty, Codes, Transfer learning, Pose estimation, Algorithms, Machine learning architectures, Video recognition and understanding. Transfer learning, Videos BibRef

Shi, M.Y.[Ming-Yi], Starke, S.[Sebastian], Ye, Y.T.[Yu-Ting], Komura, T.[Taku], Won, J.[Jungdam],
PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior,
ICCV23(14679-14691)
IEEE DOI 2401
BibRef

Chai, W.H.[Wen-Hao], Jiang, Z.Y.[Zhong-Yu], Hwang, J.N.[Jenq-Neng], Wang, G.[Gaoang],
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation,
ICCV23(14609-14619)
IEEE DOI 2401
BibRef

Kaufmann, M.[Manuel], Song, J.[Jie], Guo, C.[Chen], Shen, K.Y.[Kai-Yue], Jiang, T.[Tianjian], Tang, C.C.[Cheng-Cheng], Zárate, J.J.[Juan José], Hilliges, O.[Otmar],
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild,
ICCV23(14586-14597)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhang, Y.[Yi], Ji, P.L.[Peng-Liang], Wang, A.[Angtian], Mei, J.[Jieru], Kortylewski, A.[Adam], Yuille, A.[Alan],
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation,
ICCV23(9365-9376)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhai, K.[Kai], Nie, Q.[Qiang], Ouyang, B.[Bo], Li, X.[Xiang], Yang, S.[Shanlin],
HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation,
ICCV23(14939-14949)
IEEE DOI 2401
BibRef

Delmas, G.[Ginger], Weinzaepfel, P.[Philippe], Moreno-Noguer, F.[Francesc], Rogez, G.[Grégory],
PoseFix: Correcting 3D Human Poses with Natural Language,
ICCV23(14972-14982)
IEEE DOI Code:
WWW Link. 2401
BibRef

Rommel, C.[Cédric], Valle, E.[Eduardo], Chen, M.[Mickaël], Khalfaoui, S.[Souhaiel], Marlet, R.[Renaud], Cord, M.[Matthieu], Pérez, P.[Patrick],
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion,
AMFG23(3212-3221)
IEEE DOI 2401
BibRef

Zhou, J.[Jieming], Zhang, T.[Tong], Hayder, Z.[Zeeshan], Petersson, L.[Lars], Harandi, M.[Mehrtash],
Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation,
R6D23(2084-2094)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zou, J.J.[Jun-Jie], Shao, M.[Ming], Xia, S.[Siyu],
Graphrpe: Relative Position Encoding Graph Transformer for 3d Human Pose Estimation,
ICIP23(895-899)
IEEE DOI 2312
BibRef

Zhang, L.J.[Li-Jun], Zhou, K.K.[Kang-Kang], Liu, L.C.[Liang-Chen], Li, Z.H.[Zheng-Hao], Zhao, X.Y.[Xun-Yi], Zhou, X.D.[Xiang-Dong], Shi, Y.[Yu],
Progressive Multi-View Fusion for 3D Human Pose Estimation,
ICIP23(1600-1604)
IEEE DOI 2312
BibRef

Ma, L.Y.[Li-Yuan], Gao, T.W.[Ting-Wei], Shen, H.B.[Hai-Bin], Huang, K.[Kejie],
FreqHPT: Frequency-aware attention and flow fusion for Human Pose Transfer,
CVFAD23(3491-3496)
IEEE DOI 2309
BibRef

Wang, J.[Jian], Luvizon, D.[Diogo], Xu, W.P.[Wei-Peng], Liu, L.J.[Ling-Jie], Sarkar, K.[Kripasindhu], Theobalt, C.[Christian],
Scene-Aware Egocentric 3D Human Pose Estimation,
CVPR23(13031-13040)
IEEE DOI 2309
BibRef

Gong, J.[Jia], Foo, L.G.[Lin Geng], Fan, Z.P.[Zhi-Peng], Ke, Q.H.[Qiu-Hong], Rahmani, H.[Hossein], Liu, J.[Jun],
DiffPose: Toward More Reliable 3D Pose Estimation,
CVPR23(13041-13051)
IEEE DOI 2309
BibRef

Foo, L.G.[Lin Geng], Li, T.J.[Tian-Jiao], Rahmani, H.[Hossein], Ke, Q.H.[Qiu-Hong], Liu, J.[Jun],
Unified Pose Sequence Modeling,
CVPR23(13019-13030)
IEEE DOI 2309
BibRef

Shen, X.L.[Xiao-Long], Yang, Z.X.[Zong-Xin], Wang, X.H.[Xiao-Han], Ma, J.X.[Jian-Xin], Zhou, C.[Chang], Yang, Y.[Yi],
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation,
CVPR23(8887-8896)
IEEE DOI 2309
BibRef

Zhao, Q.[Qitao], Zheng, C.[Ce], Liu, M.Y.[Meng-Yuan], Wang, P.[Pichao], Chen, C.[Chen],
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation,
CVPR23(8877-8886)
IEEE DOI 2309
BibRef

Tang, Z.H.[Zhen-Hua], Qiu, Z.F.[Zhao-Fan], Hao, Y.[Yanbin], Hong, R.C.[Ri-Chang], Yao, T.[Ting],
3D Human Pose Estimation with Spatio-Temporal Criss-Cross Attention,
CVPR23(4790-4799)
IEEE DOI 2309
BibRef

Ci, H.[Hai], Wu, M.[Mingdong], Zhu, W.T.[Wen-Tao], Ma, X.X.[Xiao-Xuan], Dong, H.[Hao], Zhong, F.[Fangwei], Wang, Y.Z.[Yi-Zhou],
GFPose: Learning 3D Human Pose Prior with Gradient Fields,
CVPR23(4800-4810)
IEEE DOI 2309
BibRef

Sengupta, A.[Akash], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation,
CVPR23(4779-4789)
IEEE DOI 2309
BibRef

Tripathi, S.[Shashank], Müller, L.[Lea], Huang, C.H.P.[Chun-Hao P.], Taheri, O.[Omid], Black, M.J.[Michael J.], Tzionas, D.[Dimitrios],
3D Human Pose Estimation via Intuitive Physics,
CVPR23(4713-4725)
IEEE DOI 2309
BibRef

Dai, Y.[Yudi], Lin, Y.[Yitai], Lin, X.P.[Xi-Ping], Wen, C.L.[Cheng-Lu], Xu, L.[Lan], Yi, H.W.[Hong-Wei], Shen, S.Q.[Si-Qi], Ma, Y.X.[Yue-Xin], Wang, C.[Cheng],
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments,
CVPR23(682-692)
IEEE DOI 2309
BibRef

Bouazizi, A.[Arij], Wiederer, J.[Julian], Kressel, U.[Ulrich], Belagiannis, V.[Vasileios],
Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry,
FG21(1-8)
IEEE DOI 2303
Training, Geometry, Deep learning, Learning systems, Solid modeling, Codes 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

Ma, H.Y.[Hao-Yu], Wang, Z.[Zhe], Chen, Y.F.[Yi-Fei], Kong, D.Y.[De-Ying], 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

Schmidtke, L.[Luca], Hou, B.[Benjamin], Vlontzos, A.[Athanasios], Kainz, B.[Bernhard],
Self-supervised 3d Human Pose Estimation in Static Video via Neural Rendering,
CVMeta22(704-713).
Springer DOI 2304
BibRef

Zeng, A.[Ailing], Yang, L.[Lei], Ju, X.[Xuan], Li, J.F.[Jie-Feng], Wang, J.Y.[Jian-Yi], Xu, Q.[Qiang],
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos,
ECCV22(V:625-642).
Springer DOI 2211
BibRef

Zhan, Y.[Yu], Li, F.[Fenghai], Weng, R.L.[Ren-Liang], Choi, W.[Wongun],
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization,
CVPR22(13106-13115)
IEEE DOI 2210
Location awareness, Solid modeling, Systematics, Image analysis, Pose estimation, Pose estimation and tracking, Video analysis and understanding 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

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

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

Liu, Z.G.[Zhen-Guang], Feng, R.Y.[Run-Yang], Chen, H.M.[Hao-Ming], Wu, S.[Shuang], Gao, Y.X.[Yi-Xing], Gao, Y.J.[Yun-Jun], Wang, X.[Xiang],
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation,
CVPR22(10996-11006)
IEEE DOI 2210
Visualization, Pose estimation, Benchmark testing, Feature extraction, Pattern recognition, Task analysis, Pose estimation and tracking 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

Zhang, Y.X.[Yue-Xi], Wang, Y.[Yin], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
Key Frame Proposal Network for Efficient Pose Estimation in Videos,
ECCV20(XVII:609-625).
Springer DOI 2011
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

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

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

Yu, C.[Cheng], Yang, B.[Bo], Wang, B.[Bo], Yan, W.D.[Wen-Ding], Tan, R.[Robby],
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

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

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

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

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

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

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

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

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

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
Annotated video data. BibRef

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
BibRef

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

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

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

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

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

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

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

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

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
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
BibRef

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
BibRef

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
BibRef

Shaji, A., Chandran, S., Siddiquie, B., Suter, D.,
Human Pose Extraction from Monocular Videos using Constrained Non-Rigid Factorization,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Grest, D.[Daniel], Herzog, D.L.[Dennis L.], Koch, R.[Reinhard],
Monocular Body Pose Estimation by Color Histograms and Point Tracking,
DAGM06(576-586).
Springer DOI 0610
BibRef

Ishiyama, R.[Rui], Ikeda, H.[Hiroo], Sakamoto, S.Z.[Shi-Zuo],
A Compact Model of Human Postures Extracting Common Motion from Individual Samples,
ICPR06(I: 187-190).
IEEE DOI 0609
BibRef

Girondel, V., Caplier, A., Bonnaud, L.,
A belief theory-based static posture recognition system for real-time video surveillance applications,
AVSBS05(10-15).
IEEE DOI 0602
BibRef

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
BibRef

Yonemoto, S., Nakano, H., Taniguchi, R.,
Real-time human figure control using tracked blobs,
CIAP03(127-132).
IEEE DOI 0310
BibRef

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 Pose Tracking, Posture Tracking, Posture from Video, Pose from Motion .