21.4.1.2 Articulated Human Pose Desicriptions

Chapter Contents (Back)
Human Pose. Articulated Pose. See also Tracking People with 3D Models, Articulation Models.

Herbison-Evans, D., Richardson, D.S.,
Control of round-off propagation in articulating the human figure,
CGIP(17), No. 4, December 1981, pp. 386-393.
Elsevier DOI 0501
BibRef

Ling, H.B.[Hai-Bin], Jacobs, D.W.[David W.],
Shape Classification Using the Inner-Distance,
PAMI(29), No. 2, February 2007, pp. 286-299.
IEEE DOI 0701
BibRef
Earlier:
Using the Inner-Distance for Classification of Articulated Shapes,
CVPR05(II: 719-726).
IEEE DOI 0507
Distances between landmark points. Inner-distance is shortest path. Articulation independent. BibRef

Tong, M.L.[Ming-Lei], Liu, Y.C.[Yun-Cai], Huang, T.S.[Thomas S.],
3D human model and joint parameter estimation from monocular image,
PRL(28), No. 7, May 2007, pp. 797-805.
Elsevier DOI 0703
BibRef
Earlier:
Recover Human Pose from Monocular Image Under Weak Perspective Projection,
CVHCI05(36).
Springer DOI 0601
3D human model; 2D images; Convolution surface; Model initialization; Motion estimation BibRef

Zhao, X.[Xu], Liu, Y.C.[Yun-Cai],
Generative Estimation of 3D Human Pose Using Shape Contexts Matching,
ACCV07(I: 419-429).
Springer DOI 0711
BibRef

Pan, H.L.[Hai-Lang], Liu, Y.C.[Yun-Cai], Shi, L.[Lei],
Modeling of Elastic Articulated Objects and Its Parameters Determination from Image Contours,
CIAP05(527-534).
Springer DOI 0509
Human body models based on occluding contours. BibRef

Bronstein, A.M.[Alexander M.], Bronstein, M.M.[Michael M.], Bruckstein, A.M.[Alfred M.], Kimmel, R.[Ron],
Analysis of Two-Dimensional Non-Rigid Shapes,
IJCV(78), No. 1, June 2008, pp. 67-88.
Springer DOI 0803
BibRef
Earlier:
Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling,
AMDO06(48-57).
Springer DOI 0607
BibRef

Ross, D.A.[David A.], Tarlow, D.[Daniel], Zemel, R.S.[Richard S.],
Learning Articulated Structure and Motion,
IJCV(88), No. 2, June 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
Unsupervised Learning of Skeletons from Motion,
ECCV08(III: 560-573).
Springer DOI 0810
BibRef

Li, Y.J.[Yu-Jia], Tarlow, D.[Daniel], Zemel, R.S.[Richard S.],
Exploring Compositional High Order Pattern Potentials for Structured Output Learning,
CVPR13(49-56)
IEEE DOI 1309
BibRef

Meeds, E.W.[Edward W.], Ross, D.A.[David A.], Zemel, R.S.[Richard S.], Roweis, S.T.[Sam T.],
Learning stick-figure models using nonparametric Bayesian priors over trees,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Yang, Y.[Yi], Ramanan, D.[Deva],
Articulated Human Detection with Flexible Mixtures of Parts,
PAMI(35), No. 12, 2013, pp. 2878-2890.
IEEE DOI 1311
BibRef
Earlier:
Articulated pose estimation with flexible mixtures-of-parts,
CVPR11(1385-1392).
IEEE DOI 1106
Computational modeling BibRef

Yang, S.F.[Song-Fan], Ramanan, D.[Deva],
Multi-scale Recognition with DAG-CNNs,
ICCV15(1215-1223)
IEEE DOI 1602
Benchmark testing BibRef

Ding, M.[Meng], Fan, G.L.[Guo-Liang],
Articulated and Generalized Gaussian Kernel Correlation for Human Pose Estimation,
IP(25), No. 2, February 2016, pp. 776-789.
IEEE DOI 1601
BibRef
Earlier:
Articulated Gaussian kernel correlation for human pose estimation,
PBVS15(57-64)
IEEE DOI 1510
Computational modeling. Correlation BibRef

Ukita, N.[Norimichi],
Part-Segment Features with Optimized Shape Priors for Articulated Pose Estimation,
IEICE(E99-D), No. 1, January 2016, pp. 248-256.
WWW Link. 1601
BibRef
Earlier:
Part-segment features for articulated pose estimation,
MVA15(114-117)
IEEE DOI 1507
BibRef
And:
Articulated pose estimation with parts connectivity using discriminative local oriented contours,
CVPR12(3154-3161).
IEEE DOI 1208
Estimation BibRef

Kawana, Y.[Yuki], Ukita, N.[Norimichi],
Occluded Appearance Modeling with Sample Weighting for Human Pose Estimation,
IEICE(E100-D), No. 10, October 2017, pp. 2627-2634.
WWW Link. 1710
BibRef

Ukita, N.[Norimichi], Uematsu, Y.[Yusuke],
Semi- and weakly-supervised human pose estimation,
CVIU(170), 2018, pp. 67-78.
Elsevier DOI 1806
Human pose estimation, Semi-supervised learning, Weakly-supervised learning, Pose clustering BibRef

Kawana, Y.[Yuki], Ukita, N.[Norimichi], Hagita, N.[Norihiro],
Occlusion-free appearance modeling of body parts for human pose estimation,
MVA15(321-324)
IEEE DOI 1507
Biological system modeling BibRef

Marinoiu, E.[Elisabeta], Papava, D.[Dragos], Sminchisescu, C.[Cristian],
Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses,
IJCV(119), No. 2, September 2016, pp. 194-215.
Springer DOI 1608
BibRef
Earlier:
Pictorial Human Spaces: How Well Do Humans Perceive a 3D Articulated Pose?,
ICCV13(1289-1296)
IEEE DOI 1403
BibRef

Fu, L.R.[Lian-Rui], Zhang, J.[Junge], Huang, K.Q.[Kai-Qi],
ORGM: Occlusion Relational Graphical Model for Human Pose Estimation,
IP(26), No. 2, February 2017, pp. 927-941.
IEEE DOI 1702
BibRef
Earlier:
Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation,
ICCV15(1976-1984)
IEEE DOI 1602
BibRef
Earlier:
Context aware model for articulated human pose estimation,
ICIP15(991-995)
IEEE DOI 1512
Brain modeling. Articulation BibRef

Wan, J.[Jun], Escalera, S.[Sergio], Perales, F.J.[Francisco J.], Kittler, J.[Josef],
Articulated motion and deformable objects,
PR(79), 2018, pp. 55-64.
Elsevier DOI 1804
Articulated motion and deformable Objects, Pose estimation, Action recognition, Gesture recognition, Face analysis BibRef

Dogan, E.[Emre], Eren, G.[Gonen], Wolf, C.[Christian], Lombardi, E.[Eric], Baskurt, A.[Atilla],
Multi-view pose estimation with mixtures of parts and adaptive viewpoint selection,
IET-CV(12), No. 4, June 2018, pp. 403-411.
DOI Link 1805
BibRef
Earlier:
Multi-view Pose Estimation with Flexible Mixtures-of-Parts,
ACIVS17(180-190).
Springer DOI 1712
BibRef

Huang, M.Y.[Mei-Yu], Xiang, X.S.[Xue-Shuang], Chen, Y.Q.[Yi-Qiang], Fan, D.[Da],
Weighted Large Margin Nearest Center Distance-Based Human Depth Recovery With Limited Bandwidth Consumption,
IP(27), No. 12, December 2018, pp. 5728-5743.
IEEE DOI 1810
autoregressive moving average processes, image sampling, pose estimation, state-of-the-art depth recovery methods, distance learning BibRef

Mehrizi, R., Peng, X., Metaxas, D.N., Xu, X., Zhang, S., Li, K.,
Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach,
HMS(49), No. 1, February 2019, pp. 85-94.
IEEE DOI 1901
Task analysis, Videos, Biomechanics, Neural networks, Back, Sensors, Kinetic theory, Deep neural network, lifting, lower back loading, occupational biomechanics BibRef

Mehrizi, R., Peng, X., Tang, Z., Xu, X., Metaxas, D.N., Li, K.,
Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution,
FG18(485-491)
IEEE DOI 1806
Biomechanics, Heating systems, Pose estimation, Shape, Task analysis, markerless 3D human pose estimation BibRef

Yang, B., Ma, A.J., Yuen, P.C.,
Body Parts Synthesis for Cross-Quality Pose Estimation,
CirSysVideo(29), No. 2, February 2019, pp. 461-474.
IEEE DOI 1902
Pose estimation, Image quality, Training, Testing, Dictionaries, Adaptation models, Skeleton, Pose estimation, domain adaptation BibRef

Liang, X.D.[Xiao-Dan], Gong, K.[Ke], Shen, X.H.[Xiao-Hui], Lin, L.[Liang],
Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark,
PAMI(41), No. 4, April 2019, pp. 871-885.
IEEE DOI 1903
Pose estimation, Lips, Task analysis, Benchmark testing, Semantics, Image segmentation, Context modeling, Human parsing, convolutional neural networks BibRef

Gong, K.[Ke], Liang, X.D.[Xiao-Dan], Li, Y.C.[Yi-Cheng], Chen, Y.M.[Yi-Min], Yang, M.[Ming], Lin, L.[Liang],
Instance-Level Human Parsing via Part Grouping Network,
ECCV18(II: 805-822).
Springer DOI 1810
BibRef

Yu, L.Y.[Ling-Yun], Yu, J.[Jun], Ling, Q.A.[Qi-Ang],
BLTRCNN-Based 3-D Articulatory Movement Prediction: Learning Articulatory Synchronicity From Both Text and Audio Inputs,
MultMed(21), No. 7, July 2019, pp. 1621-1632.
IEEE DOI 1906
BibRef
Earlier:
Deep Neural Network Based 3D Articulatory Movement Prediction Using Both Text and Audio Inputs,
MMMod19(I:68-79).
Springer DOI 1901
Acoustics, Linguistics, Feature extraction, Animation, articulatory movement prediction BibRef


Vats, K.[Kanav], Neher, H.[Helmut], Wong, A.[Alexander], Clausi, D.A.[David A.], Zelek, J.[John],
KPTransfer: Improved Performance and Faster Convergence from Keypoint Subset-Wise Domain Transfer in Human Pose Estimation,
ICIAR19(II:220-231).
Springer DOI 1909
BibRef

Li, X.J.[Xiao-Jie], Yang, L.[Lu], Song, Q.[Qing], Zhou, F.Q.[Fu-Qiang],
Detector-in-Detector: Multi-level Analysis for Human-Parts,
ACCV18(II:228-240).
Springer DOI 1906
BibRef

Sagawa, R.[Ryusuke], Ayusawa, K.[Ko], Yoshiyasu, Y.[Yusuke], Murai, A.[Akihiko],
Predicting Muscle Activity and Joint Angle from Skin Shape,
3D-Wild18(I:488-502).
Springer DOI 1905
BibRef

Ning, G.H.[Guang-Han], Liu, P.[Ping], Fan, X.C.[Xiao-Chuan], Zhang, C.[Chi],
A Top-Down Approach to Articulated Human Pose Estimation and Tracking,
PoseTrack18(II:227-234).
Springer DOI 1905
BibRef

Carissimi, N.[Nicoḷ], Rota, P.[Paolo], Beyan, C.[Cigdem], Murino, V.[Vittorio],
Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising Autoencoders,
HBU18(II:364-379).
Springer DOI 1905
BibRef

Yao, S.H., Thomas, D., Sugimoto, A., Lai, S., Kyushu, R.T.,
SegmentedFusion: 3D Human Body Reconstruction Using Stitched Bounding Boxes,
3DV18(190-198)
IEEE DOI 1812
cameras, image fusion, image reconstruction, image representation, image segmentation, motion estimation, solid modelling, skeleton BibRef

Sekii, T.[Taiki],
Pose Proposal Networks,
ECCV18(XIII: 350-366).
Springer DOI 1810
BibRef

Kim, J.[Jaehwan], Kim, H.[Howon],
Robust Geodesic Skeleton Estimation from Body Single Depth,
ACIVS18(342-353).
Springer DOI 1810
BibRef

Luo, Y.[Yawei], Zheng, Z.D.[Zhe-Dong], Zheng, L.[Liang], Guan, T.[Tao], Yu, J.Q.[Jun-Qing], Yang, Y.[Yi],
Macro-Micro Adversarial Network for Human Parsing,
ECCV18(IX: 424-440).
Springer DOI 1810
BibRef

Xu, J.[Jiahui], Hu, X.P.[Xiao-Ping],
A Study on the Differences of Male Youth Physical Characteristics Between South China and Northwest China,
DHM18(126-134).
Springer DOI 1807
BibRef

Qammaz, A., Michel, D., Argyros, A.,
A Hybrid Method for 3D Pose Estimation of Personalized Human Body Models,
WACV18(456-465)
IEEE DOI 1806
pose estimation, stochastic programming, 3D pose estimation, RGBD camera, RGBD data, articulated human body model, BibRef

Vu, H.T., Wilkinson, R.H., Lech, M., Cheng, E.,
A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation,
DICTA17(1-7)
IEEE DOI 1804
convolution, learning (artificial intelligence), neural nets, pose estimation, trees (mathematics), Transforms BibRef

Jahangiri, E., Yuille, A.L.,
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections,
CMBFH17(805-814)
IEEE DOI 1802
Detectors, Pose estimation, Solid modeling, Torso BibRef

Nguyen, D.T., Tran, M.K., Yeung, S.K.,
An MRF-Poselets Model for Detecting Highly Articulated Humans,
ICCV15(1967-1975)
IEEE DOI 1602
Biological system modeling BibRef

Zhu, A.[Aichun], Snoussi, H., Cherouat, A.,
Articulated pose estimation via multiple mixture parts model,
AVSS15(1-5)
IEEE DOI 1511
pose estimation BibRef

Park, D.[Dennis], Ramanan, D.[Deva],
Articulated pose estimation with tiny synthetic videos,
ChaLearn15(58-66)
IEEE DOI 1510
Engines BibRef

Toshev, A.[Alexander], Szegedy, C.[Christian],
DeepPose: Human Pose Estimation via Deep Neural Networks,
CVPR14(1653-1660)
IEEE DOI 1409
cascades;deep learning;human pose estimation;neural networks BibRef

Sapp, B.[Benjamin], Toshev, A.[Alexander], Taskar, B.[Ben],
Cascaded Models for Articulated Pose Estimation,
ECCV10(II: 406-420).
Springer DOI 1009
BibRef

Ramakrishna, V.[Varun], Munoz, D.[Daniel], Hebert, M.[Martial], Bagnell, J.A.[James Andrew], Sheikh, Y.[Yaser],
Pose Machines: Articulated Pose Estimation via Inference Machines,
ECCV14(II: 33-47).
Springer DOI 1408
BibRef

Oleinikov, G.[Georgii], Miller, G.[Gregor], Little, J.J.[James J.], Fels, S.[Sidney],
Task-based control of articulated human pose detection for OpenVL,
WACV14(682-689)
IEEE DOI 1406
Clutter BibRef

Gkioxari, G.[Georgia], Arbelaez, P.[Pablo], Bourdev, L.[Lubomir], Malik, J.[Jitendra],
Articulated Pose Estimation Using Discriminative Armlet Classifiers,
CVPR13(3342-3349)
IEEE DOI 1309
BibRef

Bourdev, L.[Lubomir], Maji, S.[Subhransu], Brox, T.[Thomas], Malik, J.[Jitendra],
Detecting People Using Mutually Consistent Poselet Activations,
ECCV10(VI: 168-181).
Springer DOI 1009
BibRef

Bourdev, L.[Lubomir], Malik, J.[Jitendra],
Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations,
ICCV09(1365-1372).
IEEE DOI
WWW Link. 0909
BibRef

Radwan, I.[Ibrahim], Dhall, A.[Abhinav], Goecke, R.[Roland],
Correcting pose estimation with implicit occlusion detection and rectification,
ICPR12(3496-3499).
WWW Link. 1302
Articulated pose. BibRef

Roig, G.[Gemma], Boix, X.[Xavier], de la Torre, F.[Fernando], Serrat, J.[Joan], Vilella, C.[Carles],
Hierarchical CRF with product label spaces for parts-based models,
FG11(657-664).
IEEE DOI 1103
Conditional Random Fields (CRF). Non-rigid objects (facial features, articulated body, pose) BibRef

Wang, S.[Sheng], Ai, H.Z.[Hai-Zhou], Yamashita, T.[Takayoshi], Lao, S.H.[Shi-Hong],
Combined Top-Down/Bottom-Up Human Articulated Pose Estimation Using AdaBoost Learning,
ICPR10(3670-3673).
IEEE DOI 1008
BibRef

Gopalan, R.[Raghuraman], Turaga, P.K.[Pavan K.], Chellappa, R.[Rama],
Articulation-Invariant Representation of Non-planar Shapes,
ECCV10(III: 286-299).
Springer DOI 1009
Articulated models. BibRef

Johnson, S.[Sam], Everingham, M.R.[Mark R.],
Learning effective human pose estimation from inaccurate annotation,
CVPR11(1465-1472).
IEEE DOI 1106
BibRef
Earlier:
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation,
BMVC10(xx-yy).
HTML Version. 1009
BibRef
Earlier:
Combining discriminative appearance and segmentation cues for articulated human pose estimation,
MLMotion09(405-412).
IEEE DOI 0910
BibRef

Mateus, D.[Diana], Horaud, R.[Radu], Knossow, D.[David], Cuzzolin, F.[Fabio], Boyer, E.[Edmond],
Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Ren, X.F.[Xiao-Feng],
Learning and Matching Line Aspects for Articulated Objects,
CVPR07(1-8).
IEEE DOI 0706
Aspects for articulated objects. BibRef

Sigal, L.[Leonid], Black, M.J.[Michael J.],
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation,
CVPR06(II: 2041-2048).
IEEE DOI 0606
BibRef
And:
Predicting 3D People from 2D Pictures,
AMDO06(185-195).
Springer DOI 0607
Award, AMDO, Best Paper. BibRef

Demirdjian, D.[David],
Combining Geometric- and View-Based Approaches for Articulated Pose Estimation,
ECCV04(Vol III: 183-194).
Springer DOI 0405
BibRef

Holstein, H., Li, B.,
Low Density Feature Point Matching for Articulated Pose Identification,
BMVC02(Industrial Applications). 0208
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Pose from Silhouettes .


Last update:Oct 1, 2019 at 15:23:24