16.7.4.6.12 Human Action Recognition and Detection Using Human Pose

Brand, M.[Matthew], Kettnaker, V.M.[Vera M.],
Discovery and Segmentation of Activities in Video,
PAMI(22), No. 8, August 2000, pp. 844-851.
IEEE DOI 0010
HMM to organize activity into meaningful states. Infer body orientation and pose from low resolution silhouettes. BibRef

Kettnaker, V.M.[Vera M.], Brand, M.[Matthew],
Minimum-entropy models of scene activity,
CVPR99(I: 281-286).
IEEE DOI BibRef 9900

Brand, M.[Matthew],
Discovering and Visualizing Narrative Themes,
Visual97(xx). BibRef 9700

Brand, M.[Matthew],
Understanding Manipulation in Video,
AFGR96(94-99).
IEEE DOI
PS File. 9610
BibRef
And: Vismod-404, 1996. BibRef

Ben-Arie, J.[Jezekiel], Wang, Z.Q.[Zhi-Qian], Pandit, P.[Purvin], Rajaram, S.[Shyamsundar],
Human Activity Recognition Using Multidimensional Indexing,
PAMI(24), No. 8, August 2002, pp. 1091-1104.
IEEE Abstract. 0208
BibRef
Earlier: A1, A3, A4, Only:
View-Based Human Activity Recognition by Indexing and Sequencing,
CVPR01(II:78-83).
IEEE DOI 0110
Activities from a spare (sampled) set of poses. BibRef

Oikonomopoulos, A., Patras, I., Pantic, M.,
Spatiotemporal salient points for visual recognition of human actions,
SMC-B(36), No. 3, June 2006, pp. 710-719.
IEEE DOI 0606
BibRef
And:
Kernel-based Recognition of Human Actions Using Spatiotemporal Salient Points,
V4HCI06(151).
IEEE DOI 0609
BibRef

Oikonomopoulos, A.[Antonios], Patras, I.[Ioannis], Pantic, M.[Maja],
Spatiotemporal Localization and Categorization of Human Actions in Unsegmented Image Sequences,
IP(20), No. 4, April 2011, pp. 1126-1140.
IEEE DOI 1103
BibRef
Earlier:
An implicit spatiotemporal shape model for human activity localization and recognition,
CVPR4HB09(27-33).
IEEE DOI 0906
BibRef

Oikonomopoulos, A.[Antonios], Pantic, M.[Maja], Patras, I.[Ioannis],
Sparse B-spline polynomial descriptors for human activity recognition,
IVC(27), No. 12, November 2009, pp. 1814-1825,.
Elsevier DOI 0910
BibRef
Earlier:
B-spline polynomial descriptors for human activity recognition,
CVPR4HB08(1-6).
IEEE DOI 0806
Optical flow; Median filter; Spatiotemporal salient points; B-splines; Gentleboost; Relevance Vector Machine BibRef

Oikonomopoulos, A.[Antonios], Pantic, M.[Maja],
Human Activity Recognition Using Hierarchically-Mined Feature Constellations,
ISVC13(I:150-159).
Springer DOI 1310
BibRef

Wang, L.[Liang], Suter, D.[David],
Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition,
IP(16), No. 6, June 2007, pp. 1646-1661.
IEEE DOI 0706
BibRef
Earlier:
Analyzing Human Movements from Silhouettes Using Manifold Learning,
AVSBS06(7-7).
IEEE DOI 0611
BibRef
And:
Informative Shape Representations for Human Action Recognition,
ICPR06(II: 1266-1269).
IEEE DOI 0609
BibRef

Wang, L.[Liang], Suter, D.[David],
Visual learning and recognition of sequential data manifolds with applications to human movement analysis,
CVIU(110), No. 2, May 2008, pp. 153-172.
Elsevier DOI 0804
Human movement analysis; Locality preserving projection; Gaussian mixture models; Hausdorff distance; Hidden Markov models BibRef

Ramanan, D.[Deva], Forsyth, D.A.[David A.], Zisserman, A.[Andrew],
Tracking People by Learning Their Appearance,
PAMI(29), No. 1, January 2007, pp. 65-81.
IEEE DOI 0701
BibRef
Earlier:
Strike a Pose: Tracking People by Finding Stylized Poses,
CVPR05(I: 271-278).
IEEE DOI 0507
Build a model for each person in the video, then track each person. Model gives the body configuration Stylized pose detection. BibRef

Ramanan, D.[Deva], Forsyth, D.A., Zisserman, A.[Andrew],
Tracking People and Recognizing Their Activities,
CVPR05(II: 1194).
IEEE DOI 0507
BibRef

Ikizler, N.[Nazli], Forsyth, D.A.[David A.],
Searching for Complex Human Activities with No Visual Examples,
IJCV(80), No. 3, December 2008, pp. xx-yy.
Springer DOI 0810
BibRef
Earlier:
Searching Video for Complex Activities with Finite State Models,
CVPR07(1-8).
IEEE DOI 0706
Use activity of segments of the body. Compare 3D tracks to trained motion capture data. BibRef

Yan, W.[Wei], Forsyth, D.A.,
Learning the Behavior of Users in a Public Space through Video Tracking,
WACV05(I: 370-377).
IEEE DOI 0502
BibRef

Riedel, D.E.[Daniel E.], Venkatesh, S.[Svetha], Liu, W.Q.[Wan-Quan],
Recognising online spatial activities using a bioinformatics inspired sequence alignment approach,
PR(41), No. 11, November 2008, pp. 3481-3492.
Elsevier DOI 0808
BibRef
Earlier:
A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition,
AVSBS06(54-54).
IEEE DOI 0611
Activity recognition; Bioinformatics; Sequence alignment; Dynamic time warping BibRef

Singh, M.[Meghna], Basu, A.[Anup], Mandal, M.K.[Mrinal K.],
Human Activity Recognition Based on Silhouette Directionality,
CirSysVideo(18), No. 9, September 2008, pp. 1280-1292.
IEEE DOI 0810
BibRef

Li, W.Q.[Wan-Qing], Zhang, Z.Y.[Zheng-You], Liu, Z.C.[Zi-Cheng],
Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures,
CirSysVideo(18), No. 11, November 2008, pp. 1499-1510.
IEEE DOI 0811
BibRef

Kim, T.K.[Tae-Kyun], Cipolla, R.[Roberto],
Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection,
PAMI(31), No. 8, August 2009, pp. 1415-1428.
IEEE DOI 0906
Finding the right representation for matching action volumes. usc CCA (Canonical Correlation Analysis) to detect linear relations between volumes.
See also Boosted manifold principal angles for image set-based recognition. BibRef

Kim, T.K.[Tae-Kyun], Wong, S.F.[Shu-Fai], Cipolla, R.[Roberto],
Tensor Canonical Correlation Analysis for Action Classification,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Baek, S.[Seungryul], Kim, K.I.[Kwang In], Kim, T.K.[Tae-Kyun],
Real-Time Online Action Detection Forests Using Spatio-Temporal Contexts,
WACV17(158-167)
IEEE DOI 1609
Context, Feature extraction, Radio frequency, Real-time systems, Skeleton, Testing, Training BibRef

Yu, T.H.[Tsz-Ho], Kim, T.K.[Tae-Kyun], Cipolla, R.[Roberto],
Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest,
CVPR13(3642-3649)
IEEE DOI 1309
BibRef
Earlier:
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forest,
BMVC10(xx-yy).
HTML Version. 1009
Hough Forest; Human Pose Estimation; Random Forest; Regression Forest BibRef

Ikizler, N.[Nazli], Duygulu, P.[Pinar],
Histogram of oriented rectangles: A new pose descriptor for human action recognition,
IVC(27), No. 10, 2 September 2009, pp. 1515-1526.
Elsevier DOI 0906
BibRef
Earlier:
Human Action Recognition Using Distribution of Oriented Rectangular Patches,
HUMO07(271-284).
Springer DOI 0710
BibRef
Earlier:
Person Search Made Easy,
CIVR05(578-588).
Springer DOI 0507
Action recognition; Human motion understanding; Pose descriptor BibRef

Ikizler-Cinbis, N.[Nazli], Sclaroff, S.[Stan],
Web-Based Classifiers for Human Action Recognition,
MultMed(14), No. 4, 2012, pp. 1031-1045.
IEEE DOI 1208
BibRef
Earlier:
Object Recognition and Localization Via Spatial Instance Embedding,
ICPR10(452-455).
IEEE DOI 1008
BibRef
And:
Object, Scene and Actions: Combining Multiple Features for Human Action Recognition,
ECCV10(I: 494-507).
Springer DOI 1009
BibRef

Sener, F.[Fadime], Ikizler-Cinbis, N.[Nazli],
Two-person interaction recognition via spatial multiple instance embedding,
JVCIR(32), No. 1, 2015, pp. 63-73.
Elsevier DOI 1511
Human interaction recognition BibRef

Ma, S.[Shugao], Sclaroff, S.[Stan], Ikizler-Cinbis, N.[Nazli],
Unsupervised Learning of Discriminative Relative Visual Attributes,
WPA12(III: 61-70).
Springer DOI 1210
BibRef

Ikizler-Cinbis, N.[Nazli], Cinbis, R.G.[R. Gokberk], Sclaroff, S.[Stan],
Learning actions from the Web,
ICCV09(995-1002).
IEEE DOI 0909
BibRef

Sener, F.[Fadime], Bas, C.[Cagdas], Ikizler-Cinbis, N.[Nazli],
On Recognizing Actions in Still Images via Multiple Features,
Action12(III: 263-272).
Springer DOI 1210
BibRef

Ikizler-Cinbis, N.[Nazli], Cinbis, R.G.[R. Gokberk], Pehlivan, S.[Selen], Duygulu, P.[Pinar],
Recognizing actions from still images,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Ikizler-Cinbis, N.[Nazli], Cinbis, R.G.[R. Gokberk], Duygulu, P.[Pinar],
Human action recognition with line and flow histograms,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Baysal, S.[Sermetcan], Duygulu, P.[Pinar],
A line based pose representation for human action recognition,
SP:IC(28), No. 5, May 2013, pp. 458-471.
Elsevier DOI 1305
Human motion; Action recognition; Pose similarity; Pose matching; Line-flow BibRef

Baysal, S.[Sermetcan], Kurt, M.C.[Mehmet Can], Duygulu, P.[Pinar],
Recognizing Human Actions Using Key Poses,
ICPR10(1727-1730).
IEEE DOI 1008
BibRef

Gritai, A.[Alexei], Sheikh, Y.A.[Yaser A.], Rao, C.[Cen], Shah, M.[Mubarak],
Matching Trajectories of Anatomical Landmarks Under Viewpoint, Anthropometric and Temporal Transforms,
IJCV(84), No. 3, September 2009, pp. xx-yy.
Springer DOI 0906
BibRef
Earlier: A1, A2, A4, Only:
On the use of anthropometry in the invariant analysis of human actions,
ICPR04(II: 923-926).
IEEE DOI 0409
BibRef

Sheikh, Y.A.[Yaser A.], Sheikh, M.[Mumtaz], Shah, M.[Mubarak],
Exploring the Space of a Human Action,
ICCV05(I: 144-149).
IEEE DOI 0510
Account for variability, viewpoint, speed, anthropometry. BibRef

Gritai, A.[Alexei], Basharat, A.[Arslan], Shah, M.[Mubarak],
Geometric constraints on 2D action models for tracking human body,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Ali, S.[Saad], Shah, M.[Mubarak],
Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning,
PAMI(32), No. 2, February 2010, pp. 288-303.
IEEE DOI 1001
BibRef

Yan, P.K.[Ping-Kun], Khan, S.M.[Saad M.], Shah, M.[Mubarak],
Learning 4D action feature models for arbitrary view action recognition,
CVPR08(1-7).
IEEE DOI 0806
BibRef

Liu, J.G.[Jin-Gen], Shah, M.[Mubarak],
Learning human actions via information maximization,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Wu, X.X.[Xin-Xiao], Liang, W.[Wei], Jia, Y.D.[Yun-De],
Action recognition feedback-based framework for human pose reconstruction from monocular images,
PRL(30), No. 12, 1 September 2009, pp. 1077-1085,.
Elsevier DOI 0909
Human pose reconstruction; Action recognition feedback; Motion correlation; Manifold motion template
See also Discriminative human action recognition in the learned hierarchical manifold space. BibRef

Yan, S.C.[Shui-Cheng], Wang, H., Fu, Y.[Yun], Yan, J., Tang, X., Huang, T.S.,
Synchronized Submanifold Embedding for Person-Independent Pose Estimation and Beyond,
IP(18), No. 1, January 2009, pp. 202-210.
IEEE DOI 0812
BibRef

Ning, H.Z.[Hua-Zhong], Hu, Y.X.[Yu-Xiao], Huang, T.S.[Thomas S.],
Efficient initialization of Mixtures of Experts for human pose estimation,
ICIP08(2164-2167).
IEEE DOI 0810
BibRef

Ning, H.Z.[Hua-Zhong], Xu, W.[Wei], Gong, Y.H.[Yi-Hong], Huang, T.S.[Thomas S.],
Latent Pose Estimator for Continuous Action Recognition,
ECCV08(II: 419-433).
Springer DOI 0810
BibRef

Zhao, X.[Xu], Fu, Y.[Yun], Liu, Y.C.[Yun-Cai],
Human Motion Tracking by Temporal-Spatial Local Gaussian Process Experts,
IP(20), No. 4, April 2011, pp. 1141-1151.
IEEE DOI 1103
BibRef
Earlier:
Temporal-Spatial Local Gaussian Process Experts for Human Pose Estimation,
ACCV09(I: 364-373).
Springer DOI 0909
BibRef

Zhao, X.[Xu], Ning, H.Z.[Hua-Zhong], Liu, Y.C.[Yun-Cai], Huang, T.S.[Thomas S.],
Discriminative estimation of 3D human pose using Gaussian processes,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Zhu, Y.[Yan], Zhao, X.[Xu], Fu, Y.[Yun], Liu, Y.C.[Yun-Cai],
Sparse Coding on Local Spatial-Temporal Volumes for Human Action Recognition,
ACCV10(II: 660-671).
Springer DOI 1011
BibRef

Pehlivan, S.[Selen], Duygulu, P.[Pinar],
A new pose-based representation for recognizing actions from multiple cameras,
CVIU(115), No. 2, February 2011, pp. 140-151.
Elsevier DOI 1102
Pose representation; Action recognition; Arbitrary view; Multi-camera BibRef

Pehlivan, S.[Selen], Forsyth, D.A.[David A.],
Recognizing activities in multiple views with fusion of frame judgments,
IVC(32), No. 4, 2014, pp. 237-249.
Elsevier DOI 1404
Video analysis BibRef

Peng, B.[Bo], Qian, G.[Gang], Ma, Y.Q.[Yun-Qian], Li, B.X.[Bao-Xin],
Multifactor feature extraction for human movement recognition,
CVIU(115), No. 3, March 2011, pp. 375-389.
Elsevier DOI 1103
Feature extraction; View invariance; Multifactor analysis; Pose recognition; Gesture recognition BibRef

Mukherjee, S.[Snehasis], Biswas, S.K.[Sujoy Kumar], Mukherjee, D.P.[Dipti Prasad],
Recognizing Human Action at a Distance in Video by Key Poses,
CirSysVideo(21), No. 9, September 2011, pp. 1228-1241.
IEEE DOI 1109
BibRef
Earlier:
Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses,
ACCV10(I: 244-255).
Springer DOI 1011
BibRef
And:
Human action recognition in video by 'meaningful' poses,
ICCVGIP10(9-16).
DOI Link 1111
BibRef

Mukherjee, S.[Snehasis], Mallik, A.[Apurbaa], Mukherjee, D.P.[Dipti Prasad],
Human Action Recognition Using Dominant Motion Pattern,
CVS15(477-487).
Springer DOI 1507
BibRef

Mukherjee, S.[Snehasis],
Human Action Recognition Using Dominant Pose Duplet,
CVS15(488-497).
Springer DOI 1507
BibRef

Mukherjee, S.[Snehasis], Biswas, S.K.[Sujoy Kumar], Mukherjee, D.P.[Dipti Prasad],
Recognizing interactions between human performers by 'Dominating Pose Doublet',
MVA(25), No. 4, May 2014, pp. 1033-1052.
Springer DOI 1404
BibRef

Hu, J.H.[Jin-Hui], Boulgouris, N.V.[Nikolaos V.],
Fast human activity recognition based on structure and motion,
PRL(32), No. 14, 15 October 2011, pp. 1814-1821.
Elsevier DOI 1110
Activity; Recognition; Surveillance BibRef

Kleinsmith, A., Bianchi-Berthouze, N.[Nadia], Steed, A.,
Automatic Recognition of Non-Acted Affective Postures,
SMC-B(41), No. 4, August 2011, pp. 1027-1038.
IEEE DOI 1108
BibRef

Thi, T.H.[Tuan Hue], Cheng, L.[Li], Zhang, J.[Jian], Wang, L.[Li], Satoh, S.[Shin'ichi],
Integrating local action elements for action analysis,
CVIU(116), No. 3, March 2012, pp. 378-395.
Elsevier DOI 1201
BibRef
Earlier:
Weakly Supervised Action Recognition Using Implicit Shape Models,
ICPR10(3517-3520).
IEEE DOI 1008
Action retrieval; Action classification; Action matching; Spatial temporal feature; Implicit Shape Model; Generalized Hough Transform; Sparse Bayesian classifier; Multi-dimensional density estimation; Action distance function BibRef

Thi, T.H.[Tuan Hue], Cheng, L.[Li], Zhang, J.[Jian], Wang, L.[Li],
Implicit Motion-Shape Model: A generic approach for action matching,
ICIP10(1477-1480).
IEEE DOI 1009
BibRef

Thi, T.H.[Tuan Hue], Lu, S.J.[Si-Jun], Zhang, J.[Jian], Cheng, L.[Li], Wang, L.[Li],
Human Body Articulation for Action Recognition in Video Sequences,
AVSBS09(92-97).
IEEE DOI 0909
BibRef

Wang, L.[Li], Cheng, L.[Li], Thi, T.H.[Tuan Hue], Zhang, J.[Jian],
Human Action Recognition from Boosted Pose Estimation,
DICTA10(308-313).
IEEE DOI 1012
BibRef

Thi, T.H.[Tuan Hue], Cheng, L.[Li], Zhang, J.[Jian], Wang, L.[Li], Satoh, S.[Shinichi],
Structured learning of local features for human action classification and localization,
IVC(30), No. 1, January 2012, pp. 1-14.
Elsevier DOI 1202
Action recognition; Action localization; Structured Learning; Local spatio-temporal features; Hierarchical sparse Bayesian filter; Support vector machine; Dynamic conditional random fields; Structural support vector machine BibRef

Lee, W.Y., Hsu, W.H., Satoh, S.,
Learning From Cross-Domain Media Streams for Event-of-Interest Discovery,
MultMed(20), No. 1, January 2018, pp. 142-154.
IEEE DOI 1801
data mining, graph theory, social networking (online), check-in-based media dataset, cross-domain media mining, social network analysis BibRef

Thi, T.H.[Tuan Hue], Zhang, J.[Jian], Cheng, L.[Li], Wang, L.[Li], Satoh, S.,
Human Action Recognition and Localization in Video Using Structured Learning of Local Space-Time Features,
AVSS10(204-211).
IEEE DOI 1009
BibRef

Takahashi, M.[Masaki], Naemura, M.[Masahide], Fujii, M.[Mahito], Satoh, S.[Shin'ichi],
Human action recognition in crowded surveillance video sequences by using features taken from key-point trajectories,
MLVMA11(9-16).
IEEE DOI 1106

See also Human gesture recognition using 3.5-dimensional trajectory features for hands-free user interface. BibRef

Kapsouras, I.[Ioannis], Nikolaidis, N.[Nikos],
Person identity recognition on motion capture data using multiple actions,
MVA(26), No. 7-8, November 2015, pp. 905-918.
WWW Link. 1511
BibRef

Kapsouras, I.[Ioannis], Nikolaidis, N.[Nikos],
Action recognition on motion capture data using a dynemes and forward differences representation,
JVCIR(25), No. 6, 2014, pp. 1432-1445.
Elsevier DOI 1407
BibRef
And:
Action Recognition in Motion Capture Data Using a Bag of Postures Approach,
ICPR14(2649-2654)
IEEE DOI 1412
Databases Action recognition BibRef

Miao, J.[Jie], Xu, X.M.[Xiang-Min], Qiu, S.Y.[Shuo-Yang], Qing, C.M.[Chun-Mei], Tao, D.C.[Da-Cheng],
Temporal Variance Analysis for Action Recognition,
IP(24), No. 12, December 2015, pp. 5904-5915.
IEEE DOI 1512
feature extraction BibRef

Liu, F., Xu, X.M.[Xiang-Min], Qiu, S.Y.[Shuo-Yang], Qing, C.M.[Chun-Mei], Tao, D.C.[Da-Cheng],
Simple to Complex Transfer Learning for Action Recognition,
IP(25), No. 2, February 2016, pp. 949-960.
IEEE DOI 1601
Data models BibRef

Saghafi, B.[Behrouz], Rajan, D.[Deepu],
Human action recognition using Pose-based discriminant embedding,
SP:IC(27), No. 1, January 2012, pp. 96-111.
Elsevier DOI 1201
Human action recognition; Dimensionality reduction; Discriminant embedding; Silhouette; Posture; Action period BibRef

Ukita, N.[Norimichi], Kanade, T.[Takeo],
Gaussian process motion graph models for smooth transitions among multiple actions,
CVIU(116), No. 4, April 2012, pp. 500-509.
Elsevier DOI 1202
Human pose; Multiple actions; Motion prior; Gaussian process; Motion graphs BibRef

Su, J., Dryden, I.L., Klassen, E., Le, H., Srivastava, A.,
Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds,
IVC(30), No. 6-7, June 2012, pp. 428-442.
Elsevier DOI 1206
Splines on manifolds; Pose tracking; Activity recognition; Interpolation; Curve fitting; Diffusion tensor analysis BibRef

Yuan, F.[Fei], Xia, G.S.[Gui-Song], Sahbi, H.[Hichem], Prinet, V.[Veronique],
Mid-level features and spatio-temporal context for activity recognition,
PR(45), No. 12, December 2012, pp. 4182-4191.
Elsevier DOI 1208
Activity recognition; Mid-level features; Activity components; Spatio-temporal context kernels BibRef

Mazari, A.[Ahmed], Sahbi, H.[Hichem],
Coarse-to-Fine Aggregation for Cross-Granularity Action Recognition,
ICIP20(1541-1545)
IEEE DOI 2011
Kernel, Training, Task analysis, Visualization, Linear programming, Streaming media, Backpropagation, Hierarchical pooling, action recognition BibRef

López-Méndez, A.[Adolfo], Casas, J.R.[Josep R.],
Model-based recognition of human actions by trajectory matching in phase spaces,
IVC(30), No. 11, November 2012, pp. 808-816.
Elsevier DOI 1211
Action recognition; Multi-view; Markerless motion capture; Nonlinear dynamical systems; Time-delay embeddings BibRef

Yao, A.[Angela], Gall, J.[Juergen], Van Gool, L.J.[Luc J.],
Coupled Action Recognition and Pose Estimation from Multiple Views,
IJCV(100), No. 1, October 2012, pp. 16-37.
WWW Link. 1208
BibRef
Earlier: A2, A1, A3:
2D Action Recognition Serves 3D Human Pose Estimation,
ECCV10(III: 425-438).
Springer DOI 1009
BibRef
And: A1, A2, A3:
A Hough transform-based voting framework for action recognition,
CVPR10(2061-2068).
IEEE DOI 1006
BibRef

Waltisberg, D.[Daniel], Yao, A.[Angela], Gall, J.[Juergen], Van Gool, L.J.[Luc J.],
Variations of a Hough-Voting Action Recognition System,
ICPR-Contests10(306-312).
Springer DOI 1008

See also Hough Forests for Object Detection, Tracking, and Action Recognition. BibRef

López-Méndez, A.[Adolfo], Gall, J.[Juergen], Casas, J.R.[Josep R.], Van Gool, L.J.[Luc J.],
Metric Learning from Poses for Temporal Clustering of Human Motion,
BMVC12(49).
DOI Link 1301
BibRef

Yao, A.[Angela], Gall, J.[Juergen], Fanelli, G.[Gabriele], Van Gool, L.J.[Luc J.],
Does Human Action Recognition Benefit from Pose Estimation?,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Borzeshi, E.Z.[Ehsan Zare], Piccardi, M.[Massimo], Riesen, K.[Kaspar], Bunke, H.[Horst],
Discriminative prototype selection methods for graph embedding,
PR(46), No. 6, June 2013, pp. 1648-1657.
Elsevier DOI 1302
Graph embedding; Discriminative prototype selection; Graph classification; Dissimilarity representation BibRef

Borzeshi, E.Z.[Ehsan Zare], Piccardi, M.[Massimo], Xu, R.Y.D.[Richard Yi Da],
A discriminative prototype selection approach for graph embedding in human action recognition,
PEAction11(1295-1301).
IEEE DOI 1201
BibRef

Ellis, C.[Chris], Masood, S.Z.[Syed Zain], Tappen, M.F.[Marshall F.], La Viola, Jr., J.J.[Joseph J.], Sukthankar, R.[Rahul],
Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition,
IJCV(101), No. 3, February 2013, pp. 420-436.
WWW Link. 1303
Poses, to actions. BibRef

Zhen, X.T.[Xian-Tong], Shao, L.[Ling],
A local descriptor based on Laplacian pyramid coding for action recognition,
PRL(34), No. 15, 2013, pp. 1899-1905.
Elsevier DOI 1309
BibRef
And:
Spatio-temporal steerable pyramid for human action recognition,
FG13(1-6)
IEEE DOI 1309
Action recognition filtering theory BibRef

Zhen, X.T.[Xian-Tong], Shao, L.[Ling],
Action recognition via spatio-temporal local features: A comprehensive study,
IVC(50), No. 1, 2016, pp. 1-13.
Elsevier DOI 1606
BibRef
Earlier:
A Performance Evaluation on Action Recognition with Local Features,
ICPR14(4495-4500)
IEEE DOI 1412
Action recognition. Encoding BibRef

Liu, L., Shao, L.[Ling], Zhen, X.T.[Xian-Tong], Li, X.L.[Xue-Long],
Learning Discriminative Key Poses for Action Recognition,
Cyber(43), No. 6, 2013, pp. 1860-1870.
IEEE DOI 1312
Feature extraction
See also Embedding Motion and Structure Features for Action Recognition. BibRef

Liu, L., Shao, L.[Ling], Li, X.L.[Xue-Long], Lu, K.,
Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach,
Cyber(46), No. 1, January 2016, pp. 158-170.
IEEE DOI 1601
Feature extraction BibRef

Liu, L.[Li], Shao, L.[Ling],
Discriminative Partition Sparsity Analysis,
ICPR14(1597-1602)
IEEE DOI 1412
Manifolds BibRef

Shao, L.[Ling], Zhen, X.T.[Xian-Tong], Tao, D., Li, X.,
Spatio-Temporal Laplacian Pyramid Coding for Action Recognition,
Cyber(44), No. 6, June 2014, pp. 817-827.
IEEE DOI 1406
Educational institutions BibRef

Liu, L.[Li], Shao, L.[Ling], Rockett, P.[Peter],
Genetic Programming-Evolved Spatio-Temporal Descriptor for Human Action Recognition,
BMVC12(18).
DOI Link 1301
BibRef

Shao, L.[Ling], Chen, X.L.[Xiu-Li],
Histogram of Body Poses and Spectral Regression Discriminant Analysis for Human Action Categorization,
BMVC10(xx-yy).
HTML Version. 1009
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Shao, L.[Ling], Gao, R.Y.[Ruo-Yun],
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Smart manufacturing, Deep learning, Human pose estimation, Dynamic time warping, Temporal activity localization, Generative adversarial networks BibRef

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Action recognition, Skeleton data, Kinematics posture feature (KPF), Angular joint position feature (AJPF) BibRef

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IEEE DOI 2107
BibRef
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2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning,
CVPR18(5137-5146)
IEEE DOI 1812
Pose estimation, Task analysis, Heating systems, neural networks Visualization, Skeleton BibRef

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Feature extraction, Adaptation models, Robustness, Pose estimation, Adaptive systems, Training, Computational modeling, reinforcement learning BibRef

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Human action recognition, Deep learning, Computer vision, Transformer BibRef

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Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models,
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Human pose estimation, human pose datasets, crime suspect identification, face matching, deep learning BibRef

Zhao, J.J.[Jia-Jun], Liu, Z.Q.[Zhi-Qiang], Xie, S.J.[Si-Jia], Tang, C.Q.[Chuan-Qian],
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3D human pose and shape estimation, Self-supervised learning, Occlusion handling BibRef

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Self-Supervised Video Pose Representation Learning for Occlusion- Robust Action Recognition,
FG21(1-5)
IEEE DOI 2303
Training, Representation learning, Target recognition, Face recognition, Gesture recognition, Robustness, Data models BibRef

Kim, J.W.[Joo Wang], Hernandez, J.[Jefferson], Cobos, R.[Richard], Palacios, R.[Ricardo], Abad, A.G.[Andres G.],
A View Invariant Human Action Recognition System for Noisy Inputs,
CRV22(67-74)
IEEE DOI 2301
Protocols, Estimation, Cameras, Robustness, Noise measurement, Robots, View invariant, Human Action Recognition, Robustness to noise, Human pose BibRef

Awasthi, S.[Shrutarv], Rueda, F.M.[Fernando Moya], Fink, G.A.[Gernot A.],
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition,
ICPR22(4514-4521)
IEEE DOI 2212
Training, Annotations, Transfer learning, Pose estimation, Benchmark testing, Streaming media, Human activity recognition BibRef

Sun, X.N.[Xiao-Ning], Cui, Q.J.[Qiong-Jie], Sun, H.J.[Huai-Jiang], Li, B.[Bin], Li, W.Q.[Wei-Qing], Lu, J.F.[Jian-Feng],
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Springer DOI 2211
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ActAR: Actor-Driven Pose Embeddings for Video Action Recognition,
PBVS22(398-407)
IEEE DOI 2210
Training, Optical filters, Filtering, Annotations, Computational modeling, Video sequences, Pattern recognition BibRef

Schneider, D.[David], Sarfraz, M.S.[M. Saquib], Roitberg, A.[Alina], Stiefelhagen, R.[Rainer],
Pose-based Contrastive Learning for Domain Agnostic Activity Representations,
RoSe22(3432-3442)
IEEE DOI 2210
Representation learning, Military computing, Surveillance, Heuristic algorithms, Benchmark testing, Propulsion, Iterative algorithms BibRef

Diller, C.[Christian], Funkhouser, T.[Thomas], Dai, A.[Angela],
Forecasting Characteristic 3D Poses of Human Actions,
CVPR22(15893-15902)
IEEE DOI 2210
Predictive models, Probabilistic logic, Pattern recognition, Behavioral sciences, Task analysis, RGBD sensors and analytics BibRef

Yang, L.[Le], Han, J.W.[Jun-Wei], Zhang, D.W.[Ding-Wen],
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars,
CVPR22(3150-3159)
IEEE DOI 2210
Weight measurement, Privacy, Computational modeling, Aggregates, Surveillance, Streaming media, Video analysis and understanding, Behavior analysis BibRef

Ye, Y., Singh, M., Gupta, A.[Abhinav], Tulsiani, S.[Shubham],
Compositional Video Prediction,
ICCV19(10352-10361)
IEEE DOI 2004
Code, Motion.
WWW Link. image motion analysis, stochastic processes, video signal processing, realistic stochastic video prediction, Encoding BibRef

Adeli, V.[Vida], Ehsanpour, M.[Mahsa], Reid, I.D.[Ian D.], Niebles, J.C.[Juan Carlos], Savarese, S.[Silvio], Adeli, E.[Ehsan], Rezatofighi, H.[Hamid],
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild,
ICCV21(13370-13380)
IEEE DOI 2203
Training, Surveillance, Predictive models, Benchmark testing, Skeleton, Trajectory, Motion and tracking, Video analysis and understanding BibRef

Shah, A.[Anshul], Mishra, S.[Shlok], Bansal, A.[Ankan], Chen, J.C.[Jun-Cheng], Chellappa, R.[Rama], Shrivastava, A.[Abhinav],
Pose and Joint-Aware Action Recognition,
WACV22(141-151)
IEEE DOI 2202
Heating systems, Computational modeling, Jitter, Activity recognition, Feature extraction, Data mining, Action and Behavior Recognition Biometrics -> Human Motion Analysis/Capture BibRef

Liu, J.Y.[Jing-Yuan], Shi, M.Y.[Ming-Yi], Chen, Q.F.[Qi-Feng], Fu, H.B.[Hong-Bo], Tai, C.L.[Chiew-Lan],
Normalized Human Pose Features for Human Action Video Alignment,
ICCV21(11501-11511)
IEEE DOI 2203
Visualization, Feature extraction, Extraterrestrial measurements, Bones, Task analysis, Gestures and body pose, Representation learning BibRef

Zou, S.H.[Shi-Hao], Guo, C.[Chuan], Zuo, X.X.[Xin-Xin], Wang, S.[Sen], Wang, P.Y.[Peng-Yu], Hu, X.Q.[Xiao-Qin], Chen, S.[Shoushun], Gong, M.L.[Ming-Lun], Cheng, L.[Li],
EventHPE: Event-based 3D Human Pose and Shape Estimation,
ICCV21(10976-10985)
IEEE DOI 2203
Optical losses, Deep learning, Image motion analysis, Shape, Dynamics, Gestures and body pose, Datasets and evaluation BibRef

Chen, S.[Shuai], Li, X.H.[Xing-Hui], Wang, Z.[Zirui], Prisacariu, V.A.[Victor A.],
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching,
ECCV22(X:1-17).
Springer DOI 2211
BibRef
Earlier: A1, A3, A4, Only:
Direct-PoseNet: Absolute Pose Regression with Photometric Consistency,
3DV21(1175-1185)
IEEE DOI 2201
Pipelines, Benchmark testing, Rendering (computer graphics), Optimization, Visual odometry BibRef

Park, S.[Soonchan], Park, J.[Jinah],
Localizing Human Keypoints beyond the Bounding Box,
ILDAV21(1602-1611)
IEEE DOI 2112
Training, Location awareness, Degradation, Refining, Estimation BibRef

Cormier, M.[Mickael], Röpke, F.[Fabian], Golda, T.[Thomas], Beyerer, J.[Jürgen],
Interactive Labeling for Human Pose Estimation in Surveillance Videos,
ILDAV21(1649-1658)
IEEE DOI 2112
Interpolation, Annotations, Surveillance, Pose estimation, Machine learning, Tools, Activity recognition BibRef

Kwon, H.[Heeseung], Kim, M.[Manjin], Kwak, S.[Suha], Cho, M.[Minsu],
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition,
ICCV21(13045-13055)
IEEE DOI 2203
Analytical models, Solid modeling, Convolution, Dynamics, Benchmark testing, Feature extraction, Robustness, Video analysis and understanding BibRef

Moon, G.[Gyeongsik], Kwon, H.[Heeseung], Lee, K.M.[Kyoung Mu], Cho, M.[Minsu],
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos,
HVU21(3334-3343)
IEEE DOI 2109
Out of context expamples. Training, Image recognition, Pose estimation, Information filters, Skeleton BibRef

Scarpellini, G.[Gianluca], Morerio, P.[Pietro], del Bue, A.[Alessio],
Lifting Monocular Events to 3D Human Poses,
EventVision21(1358-1368)
IEEE DOI 2109
Heating systems, Learning systems, Fuses, Pose estimation, Solids, Robustness BibRef

Jacob, G.M.[Geethu Miriam], Stenger, B.[Björn],
Selecting an Iconic Pose From an Action Video,
MVA21(1-5)
DOI Link 2109
Shape, Machine vision BibRef

Nekoui, M.[Mahdiar], Cruz, F.O.T.[Fidel Omar Tito], Cheng, L.[Li],
EAGLE-Eye: Extreme-pose Action Grader using detaiL bird's-Eye view,
WACV21(394-402)
IEEE DOI 2106
Training, Current measurement, Pose estimation, Stacking, Streaming media BibRef

Iwata, S.[Saki], Kawanishi, Y.[Yasutomo], Deguchi, D.[Daisuke], Ide, I.[Ichiro], Murase, H.[Hiroshi], Aizawa, T.[Tomoyoshi],
LFIR2Pose: Pose Estimation from an Extremely Low-resolution FIR image Sequence,
ICPR21(2597-2603)
IEEE DOI 2105
Training, Annotations, Finite impulse response filters, Biological system modeling, Pose estimation, Feature extraction, Image sequences BibRef

Kawashima, T., Kawanishi, Y.[Yasutomo], Ide, I.[Ichiro], Murase, H.[Hiroshi], Deguchi, D., Aizawa, T.[Tomoyoshi], Kawade, M.,
Action recognition from extremely low-resolution thermal image sequence,
AVSS17(1-6)
IEEE DOI 1806
image recognition, image representation, image sequences, infrared imaging, learning (artificial intelligence), Thermal sensors BibRef

Tang, R.X.[Rong-Xiao], Wang, L.Y.[Lu-Yang], Guo, Z.H.[Zhen-Hua],
A Multi-Task Neural Network for Action Recognition with 3D Key-Points,
ICPR21(3899-3906)
IEEE DOI 2105
Image recognition, Pose estimation, Neural networks, Action Recognition BibRef

Debnath, B.[Bappaditya], O'Brient, M.[Mary], Kumar, S.[Swagat], Behera, A.[Ardhendu],
Attention-Driven Body Pose Encoding for Human Activity Recognition,
ICPR21(5897-5904)
IEEE DOI 2105
Training, Solid modeling, Graphical models, Graphics processing units, Streaming media BibRef

Zhu, Y.J.[Yan-Jun], Doermann, D.[David], Zhang, Y.X.[Yan-Xia], Liu, Q.[Qiong], Girgensohn, A.[Andreas],
What and How? Jointly Forecasting Human Action and Pose,
ICPR21(771-778)
IEEE DOI 2105
Dynamics, Predictive models, Trajectory, Pattern recognition, Assisted living, Forecasting, Task analysis BibRef

Lin, Z., Zhang, W., Deng, X., Ma, C., Wang, H.,
Image-based Pose Representation for Action Recognition and Hand Gesture Recognition,
FG20(532-539)
IEEE DOI 2102
Gesture recognition, Feature extraction, Streaming media, Image recognition, Optical imaging, Network architecture BibRef

Chang, W.[Wei], Ye, C.Y.[Chun-Yang], Zhou, H.[Hui],
Two-stream Framework for Activity Recognition with 2d Human Pose Estimation,
ICIAR20(I:196-208).
Springer DOI 2007
BibRef

Yan, A.[An], Wang, Y.L.[Ya-Li], Li, Z.F.[Zhi-Feng], Qiao, Y.[Yu],
PA3D: Pose-Action 3D Machine for Video Recognition,
CVPR19(7914-7923).
IEEE DOI 2002
BibRef

Shirakawa, Y.[Yuta], Kozakaya, T.[Tatsuo],
Skip-Pose Vectors: Pose-based motion embedding using Encoder-Decoder models,
MVA19(1-6)
DOI Link 1911
feature extraction, image classification, image motion analysis, image representation, learning (artificial intelligence), Quantum computing BibRef

Sardari, F.[Faegheh], Paiement, A.[Adeline], Mirmehdi, M.[Majid],
View-Invariant Pose Analysis for Human Movement Assessment from RGB Data,
CIAP19(II:237-248).
Springer DOI 1909
BibRef

Papadopoulos, K.[Konstantinos], Ghorbel, E.[Enjie], Aouada, D.[Djamila], Ottersten, B.[Björn],
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition,
ICPR21(452-458)
IEEE DOI 2105
Training, Convolution, Memory management, Skeleton, Encoding, Pattern recognition, Kinetic theory BibRef

Papadopoulos, K.[Konstantinos], Ghorbel, E.[Enjie], Baptista, R.[Renato], Aouada, D.[Djamila], Ottersten, B.[Björn],
Two-Stage RGB-Based Action Detection Using Augmented 3D Poses,
CAIP19(I:26-35).
Springer DOI 1909
BibRef

McNally, W., Wong, A., McPhee, J.,
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection,
CRV19(49-56)
IEEE DOI 1908
Pose estimation, Image recognition, Sensors, Feature extraction, Cameras, human pose estimation BibRef

Yang, Y.H.[Yu-Huan], Liu, A.S.[An-Sheng], Liu, Y.H.[Yu-Hung], Yeh, T.H.[Tso-Hsin], Li, Z.J.[Zi-Jun], Fu, L.C.[Li-Chen],
Cross-View Action Recognition Using View-Invariant Pose Feature Learned from Synthetic Data with Domain Adaptation,
ACCV18(II:431-446).
Springer DOI 1906
BibRef

Faure, G.J.[Gueter Josmy], Chen, M.H.[Min-Hung], Lai, S.H.[Shang-Hong],
Holistic Interaction Transformer Network for Action Detection,
WACV23(3329-3339)
IEEE DOI 2302
Codes, Computational modeling, Aggregates, Benchmark testing, Transformers, Feature extraction BibRef

Huang, Y.[Yi], Lai, S.H.[Shang-Hong], Tai, S.H.[Shao-Heng],
Human Action Recognition Based on Temporal Pose CNN and Multi-dimensional Fusion,
HBU18(II:426-440).
Springer DOI 1905
BibRef

Chiu, H., Adeli, E., Wang, B., Huang, D., Niebles, J.C.,
Action-Agnostic Human Pose Forecasting,
WACV19(1423-1432)
IEEE DOI 1904
image sequences, learning (artificial intelligence), pose estimation, Legged locomotion BibRef

Zhao, Y., Xiong, Y., Lin, D.,
Recognize Actions by Disentangling Components of Dynamics,
CVPR18(6566-6575)
IEEE DOI 1812
Optical imaging, Convolution, Feature extraction, Integrated optics, Optical computing, Computational modeling BibRef

Choutas, V., Weinzaepfel, P., Revaud, J., Schmid, C.,
PoTion: Pose MoTion Representation for Action Recognition,
CVPR18(7024-7033)
IEEE DOI 1812
Heating systems, Joints, Image color analysis, Streaming media, Optical imaging, Standards BibRef

Liu, M., Yuan, J.,
Recognizing Human Actions as the Evolution of Pose Estimation Maps,
CVPR18(1159-1168)
IEEE DOI 1812
Pose estimation, Shape, Feature extraction, Space heating, BibRef

Tanfous, A.B., Drira, H., Amor, B.B.,
Coding Kendall's Shape Trajectories for 3D Action Recognition,
CVPR18(2840-2849)
IEEE DOI 1812
Shape, Manifolds, Trajectory, Encoding, Machine learning, Skeleton BibRef

Zhang, D., Guo, G., Huang, D., Han, J.,
PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos,
CVPR18(6762-6770)
IEEE DOI 1812
Videos, Optical imaging, Pose estimation, Task analysis, Skeleton, Optical computing BibRef

Zhou, Y., Deng, J., Zafeiriou, S.P.,
Improve Accurate Pose Alignment and Action Localization by Dense Pose Estimation,
FG18(480-484)
IEEE DOI 1806
Pose estimation, Proposals, Shape, Support vector machines, Task analysis, Training, Videos, action recognition, activity, pose estimation BibRef

Zhang, Y., Layher, G., Neumann, H.,
Continuous activity understanding based on accumulative pose-context visual patterns,
IPTA17(1-6)
IEEE DOI 1804
feature extraction, image classification, image motion analysis, mixture models, pose estimation, video signal processing, pose-context visual pattern BibRef

Hou, Y., Yao, H., Li, H., Sun, X.,
Dancing like a superstar: Action guidance based on pose estimation and conditional pose alignment,
ICIP17(1312-1316)
IEEE DOI 1803
Pose estimation, Standards, Task analysis, Testing, Training, Videos, action guidance, conditional pose alignment, pose estimation BibRef

Milbich, T.[Timo], Bautista, M.A.[Miguel A.], Sutter, E.[Ekaterina], Ommer, B.[Björn],
Unsupervised Video Understanding by Reconciliation of Posture Similarities,
ICCV17(4404-4414)
IEEE DOI 1802
feature extraction, feedforward neural nets, image classification, image matching, image motion analysis, Video sequences BibRef

Zolfaghari, M., Oliveira, G.L., Sedaghat, N., Brox, T.[Thomas],
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection,
ICCV17(2923-2932)
IEEE DOI 1802
Markov processes, image classification, image motion analysis, image sequences, pose estimation, spatiotemporal phenomena, Videos BibRef

Marcon, M., Pispero, A., Pignatelli, N., Lodi, G., Tubaro, S.,
Postural Assessment in Dentistry Based on Multiple Markers Tracking,
ACVR17(1408-1415)
IEEE DOI 1802
Cameras, Dentistry, Injuries, Muscles, Neck, Solid modeling, BibRef

Nishi, K., Demura, M., Miura, J., Oishi, S.,
Use of Thermal Point Cloud for Thermal Comfort Measurement and Human Pose Estimation in Robotic Monitoring,
ACVR17(1416-1423)
IEEE DOI 1802
Calibration, Cameras, Clothing, Pose estimation, Robots, Temperature measurement, BibRef

Dave, A., Russakovsky, O., Ramanan, D.,
Predictive-Corrective Networks for Action Detection,
CVPR17(2067-2076)
IEEE DOI 1711
Computational modeling, Hidden Markov models, Kalman filters, Predictive models, Recurrent neural networks, Semantics BibRef

Ni, H.M.[Hao-Miao], Liu, H.[Hong], Wang, X.D.[Xiang-Dong], Qian, Y.L.[Yue-Liang],
Action Recognition Based on Optimal Joint Selection and Discriminative Depth Descriptor,
ACCV16(II: 273-287).
Springer DOI 1704
BibRef

Shinmura, F.[Fumito], Kawanishi, Y.[Yasutomo], Deguchi, D.[Daisuke], Ide, I.[Ichiro], Murase, H.[Hiroshi], Fujiyoshi, H.[Hironobu],
Recognition of Texting-While-Walking by Joint Features Based on Arm and Head Poses,
CVTSV16(I: 452-462).
Springer DOI 1704
BibRef

Asghari-Esfeden, S., Sznaier, M.[Mario], Camps, O.I.[Octavia I.],
Dynamic Motion Representation for Human Action Recognition,
WACV20(546-555)
IEEE DOI 2006
Videos, Heating systems, Dynamics, Task analysis, Activity recognition, Feature extraction, Biological system modeling BibRef

Dicle, C.[Caglayan], Yilmaz, B.[Burak], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
Solving Temporal Puzzles,
CVPR16(5896-5905)
IEEE DOI 1612
BibRef

Zhang, X.K.[Xi-Kang], Ozbay, B., Sznaier, M.[Mario], Camps, O.I.[Octavia I.],
Dynamics Enhanced Multi-camera Motion Segmentation from Unsynchronized Videos,
ICCV17(4678-4686)
IEEE DOI 1802
image motion analysis, image segmentation, image sensors, image sequences, video signal processing, dynamical information, Trajectory BibRef

Zhang, X.K.[Xi-Kang], Wang, Y.[Yin], Gou, M.R.[Meng-Ran], Sznaier, M.[Mario], Camps, O.I.[Octavia I.],
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold,
CVPR16(4498-4507)
IEEE DOI 1612
BibRef

Cao, S.[Song], Nevatia, R.,
Exploring deep learning based solutions in fine grained activity recognition in the wild,
ICPR16(384-389)
IEEE DOI 1705
Activity recognition, Additives, Kernel, Machine learning, Streaming media, Support vector machines, Videos BibRef

Cao, S., Chen, K., Nevatia, R.,
Abstraction hierarchy and self annotation update for fine grained activity recognition,
WACV16(1-9)
IEEE DOI 1606
Context BibRef

Cao, S., Chen, K., Nevatia, R.,
Activity recognition and prediction with pose based discriminative patch model,
WACV16(1-9)
IEEE DOI 1606
Computational modeling BibRef

Sanzari, M.[Marta], Ntouskos, V.[Valsamis], Pirri, F.[Fiora],
Bayesian Image Based 3D Pose Estimation,
ECCV16(VIII: 566-582).
Springer DOI 1611
BibRef

Natola, F.[Fabrizio], Ntouskos, V.[Valsamis], Sanzari, M.[Marta], Pirri, F.[Fiora],
Bayesian Non-parametric Inference for Manifold Based MoCap Representation,
ICCV15(4606-4614)
IEEE DOI 1602
Algebra BibRef

Charon, G., Laptev, I., Schmid, C.,
P-CNN: Pose-Based CNN Features for Action Recognition,
ICCV15(3218-3226)
IEEE DOI 1602
Dynamics BibRef

Bomma, S.[Sushma], Robertson, N.M.[Neil M.],
Joint classification of actions with matrix completion,
ICIP15(2766-2770)
IEEE DOI 1512
Compressed Sensing BibRef

Xu, K.[Ke], Jiang, X.H.[Xing-Hao], Sun, T.F.[Tan-Feng],
Human activity recognition based on pose points selection,
ICIP15(2930-2834)
IEEE DOI 1512
Activity recognition; BOVW; pose points BibRef

Nie, B.X.H.[Bruce Xiao-Han], Xiong, C.M.[Cai-Ming], Zhu, S.C.[Song-Chun],
Joint action recognition and pose estimation from video,
CVPR15(1293-1301)
IEEE DOI 1510
BibRef

Kabir, M.H.[M. Hasanul], Ahmed, F.[Ferdous], Abdullah-Al-Tariq,
An Efficient Method for Extracting Key-Frames from 3D Human Joint Locations for Action Recognition,
ICIAR15(277-284).
Springer DOI 1507
BibRef

Zhang, P.H.[Pei-Hao], Tan, X.Y.[Xiao-Yang], Jin, X.[Xin],
Action Recognition from a Single Web Image Based on an Ensemble of Pose Experts,
ACCV14(I: 477-493).
Springer DOI 1504
BibRef

Xiao, Q.[Qian], Cheng, J.[Jun], Jiang, J.[Jun], Feng, W.[Wei],
Position-Based Action Recognition Using High Dimension Index Tree,
ICPR14(4400-4405)
IEEE DOI 1412
Accuracy BibRef

Cai, J.X.[Jia-Xin], Tang, X.[Xin], Zhang, L., Feng, G.[Guocan],
Learning zeroth class dictionary for human action recognition,
ICIP16(4175-4179)
IEEE DOI 1610
BibRef
Earlier: A1, A2, A4, Only:
Learning Pose Dictionary for Human Action Recognition,
ICPR14(381-386)
IEEE DOI 1412
Benchmark testing. Accuracy BibRef

Hoai, M.[Minh], Zisserman, A.[Andrew],
Improving Human Action Recognition Using Score Distribution and Ranking,
ACCV14(V: 3-20).
Springer DOI 1504
BibRef

Harandi, M.T.[Mehrtash T.], Salzmann, M.[Mathieu], Porikli, F.M.[Fatih M.],
Bregman Divergences for Infinite Dimensional Covariance Matrices,
CVPR14(1003-1010)
IEEE DOI 1409
Action Recognition from Motion Capture Data BibRef

Pirsiavash, H.[Hamed], Ramanan, D.[Deva],
Parsing Videos of Actions with Segmental Grammars,
CVPR14(612-619)
IEEE DOI 1409
BibRef

Wang, L.M.[Li-Min], Qiao, Y.[Yu], Tang, X.[Xiaoou],
Action recognition with trajectory-pooled deep-convolutional descriptors,
CVPR15(4305-4314)
IEEE DOI 1510
BibRef
Earlier:
Video Action Detection with Relational Dynamic-Poselets,
ECCV14(V: 565-580).
Springer DOI 1408
BibRef

Vu, T.H.[Tuan-Hung], Olsson, C.[Catherine], Laptev, I.[Ivan], Oliva, A.[Aude], Sivic, J.[Josef],
Predicting Actions from Static Scenes,
ECCV14(V: 421-436).
Springer DOI 1408
BibRef

Kantorov, V.[Vadim], Laptev, I.[Ivan],
Efficient Feature Extraction, Encoding, and Classification for Action Recognition,
CVPR14(2593-2600)
IEEE DOI 1409
BibRef

Vantigodi, S., Babu, R.V.,
Real-time human action recognition from motion capture data,
NCVPRIPG13(1-4)
IEEE DOI 1408
computer vision BibRef

Wang, J.[Jiang], Nie, X.H.[Xiao-Han], Xia, Y.[Yin], Wu, Y.[Ying],
Mining discriminative 3D Poselet for cross-view action recognition,
WACV14(634-639)
IEEE DOI 1406
Detectors BibRef

Nabi, M., del Bue, A., Murino, V.,
Temporal Poselets for Collective Activity Detection and Recognition,
HACI13(500-507)
IEEE DOI 1403
gesture recognition BibRef

Alfaro, A.[Analí], Mery, D.[Domingo], Soto, A.[Alvaro],
Action Recognition in Video Using Sparse Coding and Relative Features,
CVPR16(2688-2697)
IEEE DOI 1612
BibRef
Earlier:
Human Action Recognition from Inter-temporal Dictionaries of Key-Sequences,
PSIVT13(419-430).
Springer DOI 1402
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Luo, G.[Guan], Hu, W.M.[Wei-Ming],
Learning silhouette dynamics for human action recognition,
ICIP13(2832-2836)
IEEE DOI 1402
Action recognition BibRef

Baumann, F.[Florian],
Action Recognition with HOG-OF Features,
GCPR13(243-248).
Springer DOI 1311
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Abe, T.[Toru], Fukushi, M.[Masaru], Ueda, D.[Daisuke],
Primitive Human Action Recognition Based on Partitioned Silhouette Block Matching,
ISVC13(II:308-317).
Springer DOI 1311
BibRef

Deng, J.J.[Jing-Jing], Xie, X.H.[Xiang-Hua], Daubney, B.[Ben], Fang, H.[Hui], Grant, P.W.[Phil W.],
Recognizing Conversational Interaction Based on 3D Human Pose,
ACIVS13(138-149).
Springer DOI 1311
BibRef

Wang, C.Y.[Chun-Yu], Wang, Y.Z.[Yi-Zhou], Yuille, A.L.[Alan L.],
Mining 3D Key-Pose-Motifs for Action Recognition,
CVPR16(2639-2647)
IEEE DOI 1612
BibRef
Earlier:
An Approach to Pose-Based Action Recognition,
CVPR13(915-922)
IEEE DOI 1309
action recognition; feature learning; pose estimation BibRef

Raptis, M.[Michalis], Sigal, L.[Leonid],
Poselet Key-Framing: A Model for Human Activity Recognition,
CVPR13(2650-2657)
IEEE DOI 1309
Activity Recognition; Discriminative Keyframes; Video Analysis BibRef

Ohn-Bar, E.[Eshed], Trivedi, M.M.[Mohan M.],
Joint Angles Similarities and HOG2 for Action Recognition,
HAU3D13(465-470)
IEEE DOI 1309
BibRef

Jin, S.Y.[Sou-Young], Choi, H.J.[Ho-Jin],
Essential Body-Joint and Atomic Action Detection for Human Activity Recognition Using Longest Common Subsequence Algorithm,
CDF12(II:148-159).
Springer DOI 1304
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Sclaroff, S.[Stan],
People in Motion: Pose, Action and Communication,
BMVC12(3).
DOI Link 1301
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Alvarez-Meza, A.M., Molina-Giraldo, S., Castellanos-Domínguez, C.G.[Cesar German],
Correntropy-Based Adaptive Learning to Support Video Surveillance Systems,
ICPR14(2590-2595)
IEEE DOI 1412
Adaptation models BibRef

Valencia-Aguirre, J.[Juliana], Álvarez-Meza, A.M.[Andrés M.], Daza-Santacoloma, G.[Genaro], Acosta-Medina, C.D.[Carlos Daniel], Castellanos-Domínguez, C.G.[Cesar German],
Human Activity Recognition by Class Label LLE,
CIARP12(260-267).
Springer DOI 1209
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Szeto, R.[Ryan], Corso, J.J.[Jason J.],
Click Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation,
ICCV17(1604-1613)
IEEE DOI 1802
Object pose, with 1 keypoint. CAD, feature extraction, feedforward neural nets, inference mechanisms, 2D map, 3D keypoint annotations, CAD models, BibRef

Agarwal, P.[Priyanshu], Kumar, S.[Suren], Ryde, J.[Julian], Corso, J.J.[Jason J.], Krovi, V.N.[Venkat N.],
An Optimization Based Framework for Human Pose Estimation in Monocular Videos,
ISVC12(I: 575-586).
Springer DOI 1209
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Wang, J.J.[Jin-Jun], Xiao, J.[Jing],
Human behavior segmentation and recognition using Continuous Linear Dynamic System,
WACV13(61-67).
IEEE DOI 1303
BibRef

Wang, Z.W.[Zhao-Wen], Wang, J.J.[Jin-Jun], Xiao, J.[Jing], Lin, K.H.[Kai-Hsiang], Huang, T.S.[Thomas S.],
Substructure and boundary modeling for continuous action recognition,
CVPR12(1330-1337).
IEEE DOI 1208
BibRef

Shapovalova, N.[Nataliya], Vahdat, A.[Arash], Cannons, K.[Kevin], Lan, T.[Tian], Mori, G.[Greg],
Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification,
ECCV12(VII: 55-68).
Springer DOI 1210
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Ranjbar, M.[Mani], Vahdat, A.[Arash], Mori, G.[Greg],
Complex loss optimization via dual decomposition,
CVPR12(2304-2311).
IEEE DOI 1208
max-margin parameter learning approach. BibRef

Vahdat, A.[Arash], Gao, B.[Bo], Ranjbar, M.[Mani], Mori, G.[Greg],
A discriminative key pose sequence model for recognizing human interactions,
VS11(1729-1736).
IEEE DOI 1201
BibRef

Shao, L.[Ling], Wu, D.[Di], Chen, X.L.[Xiu-Li],
Action recognition using Correlogram of Body Poses and spectral regression,
ICIP11(209-212).
IEEE DOI 1201
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Raja, K.[Kumar], Laptev, I.[Ivan], Perez, P.[Patrick], Oisel, L.[Lionel],
Joint pose estimation and action recognition in image graphs,
ICIP11(25-28).
IEEE DOI 1201
BibRef

Schmidt, M.K.[Miriam K.], Schwenker, F.[Friedhelm],
Classification of Graph Sequences Utilizing the Eigenvalues of the Distance Matrices and Hidden Markov Models,
GbRPR11(325-334).
Springer DOI 1105
Human activity classification. Hand, head, etc. interior. BibRef

Brendel, W.[William], Todorovic, S.[Sinisa],
Learning spatiotemporal graphs of human activities,
ICCV11(778-785).
IEEE DOI 1201
BibRef
Earlier:
Activities as Time Series of Human Postures,
ECCV10(II: 721-734).
Springer DOI 1009
BibRef

Wang, L.[Liang], Leckie, C.[Christopher],
Encoding Actions via Quantized Vocabulary of Averaged Silhouettes,
ICPR10(3657-3660).
IEEE DOI 1008
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Qu, H.[Hao], Wang, L.[Liang], Leckie, C.[Christopher],
Action Recognition Using Space-Time Shape Difference Images,
ICPR10(3661-3664).
IEEE DOI 1008
BibRef

Donoser, M.[Michael], Riemenschneider, H.[Hayko], Bischof, H.[Horst],
Shape Prototype Signatures for Action Recognition,
ICPR10(1796-1799).
IEEE DOI 1008
BibRef

Uddin, M.Z.[M. Zia], Thang, N.D.[Nguyen Duc], Kim, T.S.[Tae-Seong],
Human Activity Recognition via 3-D joint angle features and Hidden Markov models,
ICIP10(713-716).
IEEE DOI 1009
BibRef

Mena, O.[Oscar], Unzueta, L.[Luis], Sierra, B.[Basilio], Matey, L.[Luis],
Temporal Nearest End-Effectors for Real-Time Full-Body Human Actions Recognition,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Schindler, K.[Konrad], Van Gool, L.J.[Luc J.],
Combining Densely Sampled Form and Motion for Human Action Recognition,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Wang, L.[Liang],
From Blob Metrics to Posture Classification to Activity Profiling,
ICPR06(IV: 736-739).
IEEE DOI 0609
BibRef

Huang, F.Y.[Fei-Yue], Di, H.J.[Hui-Jun], Xu, G.Y.[Guang-You],
Viewpoint Insensitive Posture Representation for Action Recognition,
AMDO06(143-152).
Springer DOI 0607
BibRef

Pierobon, M., Marcon, M., Sarti, A., Tubaro, S.,
Clustering of human actions using invariant body shape descriptor and dynamic time warping,
AVSBS05(22-27).
IEEE DOI 0602
BibRef

Gao, J.[Jiang], Hauptmann, A.G., Wactlar, H.D.,
Combining motion segmentation with tracking for activity analysis,
AFGR04(699-704).
IEEE DOI 0411
BibRef

Gao, J.[Jiang], Hauptmann, A.G., Bharucha, A., Wactlar, H.D.,
Dining activity analysis using a hidden markov model,
ICPR04(II: 915-918).
IEEE DOI 0409
BibRef

Ozer, I.B., Wolf, W.,
Real-time posture and activity recognition,
Motion02(133-138).
IEEE DOI 0303
BibRef
Earlier:
Human Detection in Compressed Domain,
ICIP01(III: 274-277).
IEEE DOI 0108
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Action Recognition, Part Models, Human Pose .