16.7.4.6.5 Human Action Recognition and Detection Using Human Pose

Chapter Contents (Back)
Action Recognition. Human Actions. Pose. Human Pose. Human Motion. See also Human Posture, or Human Pose, Human Body Pose. See also Human Pose from Depth, 3-D Data, Stereo, Multi-View Data.

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

Haritaoglu, I.[Ismail], Harwood, D.[David], Davis, L.S.[Larry S.],
W4: Real-Time Surveillance of People and Their Activities,
PAMI(22), No. 8, August 2000, pp. 809-830.
IEEE DOI 0010
Human Motion. Real-Time System. Recognizes typical events between people. Creates models of people so that tracking can proceed with occlusions and interactions. Locate the parts to create the models. BibRef

Davis, L.S.[Larry S.], Harwood, D.[David], Haritaoglu, I.[Ismail],
Ghost: A Human Body Part Labeling System Using Silhouettes,
ICPR98(Vol I: 77-82).
IEEE DOI BibRef 9800
And: DARPA98(229-235). See also Appearance-based Body Model for Multiple People Tracking, An. BibRef

Haritaoglu, I.[Ismail], Harwood, D.[David], Davis, L.S.[Larry S.],
Active outdoor surveillance,
CIAP99(1096-1099).
IEEE DOI 9909
BibRef
Earlier:
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People,
AFGR98(222-227).
IEEE DOI BibRef
And:
W4S: A real-time system for detecting and tracking people in 2 1/2-D,
ECCV98(I: 877).
Springer DOI BibRef
And:
W4: A Real Time System for Detecting and Tracking People,
CVPR98(962-962).
IEEE DOI 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.
WWW Link. 0804
Human movement analysis; Locality preserving projection; Gaussian mixture models; Hausdorff distance; Hidden Markov models BibRef

Park, S.H.[Sang-Ho], Aggarwal, J.K.,
Simultaneous tracking of multiple body parts of interacting persons,
CVIU(102), No. 1, April 2006, pp. 1-21.
WWW Link. 0604
BibRef
Earlier:
Semantic-level Understanding of Human Actions and Interactions using Event Hierarchy,
Non-Rigid04(12).
WWW Link. 0502
BibRef
And:
Event semantics in two-person interactions,
ICPR04(IV: 227-230).
IEEE DOI 0409
BibRef
Earlier:
Segmentation and tracking of interacting human body parts under occlusion and shadowing,
Motion02(105-111).
IEEE DOI 0303
BibRef
Earlier:
Recognition of Human Interaction Using Multiple Features in Grayscale Images,
ICPR00(Vol I: 51-54).
IEEE DOI Or:
PDF File. 0009
Tracking; Body part; Human interaction; Occlusion; ARG; MMT BibRef

Aggarwal, J.K., Park, S.H.[Sang-Ho],
Human motion: modeling and recognition of actions and interactions,
3DPVT04(640-647).
IEEE DOI 0412
BibRef

Madabhushi, A., Aggarwal, J.K.,
A Bayesian Approach to Human Activity Recognition,
VS99(xx-yy). BibRef 9900

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.
WWW Link. 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

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],
Tracking articulated objects by learning intrinsic structure of motion,
PRL(30), No. 3, 1 February 2009, pp. 267-274.
Elsevier DOI 0804
Computer vision; Articulated objects tracking; Non-linear manifold learning Apply dimensionality reduction to human body matching. 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

Singh, V.K.[Vivek Kumar], Nevatia, R.[Ram],
Simultaneous tracking and action recognition for single actor human actions,
VC(27), No. 12, December 2011, pp. 1115-1123.
WWW Link. 1112
BibRef
And:
Action recognition in cluttered dynamic scenes using Pose-Specific Part Models,
ICCV11(113-120).
IEEE DOI 1201
BibRef
Earlier:
Human Action Recognition Using a Dynamic Bayesian Action Network with 2D Part Models,
ICCVGIP10(17-24).
DOI Link 1111
See also Efficient Inference with Multiple Heterogeneous Part Detectors for Human Pose Estimation. BibRef

Khan, F.M.[Furqan M.], Singh, V.K.[Vivek Kumar], Nevatia, R.[Ram],
Simultaneous inference of activity, pose and object,
WACV12(281-288).
IEEE DOI 1203
See also Multiple pose context trees for estimating human pose in object context. BibRef

Natarajan, P.[Pradeep], Nevatia, R.[Ramakant],
Hierarchical Multi-Channel Hidden Semi Markov Graphical Models for Activity Recognition,
CVIU(117), No. 10, October 2013, pp. 1329-1344.
Elsevier DOI
PDF File. 1309
BibRef
Earlier:
Online, Real-time Tracking and Recognition of Human Actions,
Motion08(1-8).
IEEE DOI
PDF File. 0801
BibRef
And:
View and scale invariant action recognition using multiview shape-flow models,
CVPR08(1-8).
IEEE DOI
PDF File. 0806
BibRef
Earlier:
Coupled Hidden Semi Markov Models for Activity Recognition,
Motion07(10-10).
IEEE DOI
PDF File. 0702
BibRef
And:
Hierarchical Multi-channel Hidden Semi Markov Models,
IJCAI07(xx-yy).
PDF File. Hierarchical graphical models BibRef

Natarajan, P.[Pradeep], Singh, V.K.[Vivek Kumar], Nevatia, R.[Ram],
Learning 3D action models from a few 2D videos for view invariant action recognition,
CVPR10(20006-2013).
IEEE DOI 1006
See also Accurate person tracking through changing poses for multi-view action recognition. BibRef

Banerjee, P.[Prithviraj], Nevatia, R.[Ramakant],
Pose based activity recognition using Multiple Kernel learning,
ICPR12(445-448).
WWW Link. 1302
BibRef

Natarajan, P.[Pradeep], Banerjee, P.[Prithviraj], Nevatia, R.[Ram],
Accurate person tracking through changing poses for multi-view action recognition,
ICCVGIP10(155-161).
DOI Link 1111
See also Learning 3D action models from a few 2D videos for view invariant action recognition. BibRef

Khan, F.M.[Furqan M.], Lee, S.C.[Sung Chun], Nevatia, R.[Ram],
Conditional Bayesian networks for action detection,
AVSS13(256-262)
IEEE DOI 1311
Bayes methods BibRef

Natarajan, P.[Pradeep], Banerjee, P.[Prithviraj], Khan, F.M.[Furqan M.], Nevatia, R.[Ramakant],
Graphical framework for action recognition using temporally dense STIPs,
WMVC09(1-8).
IEEE DOI 0912
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

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

Zhang, Z.[Zhang], Tao, D.C.[Da-Cheng],
Slow Feature Analysis for Human Action Recognition,
PAMI(34), No. 3, March 2012, pp. 436-450.
IEEE DOI 1201
Slowly varying features from quickly varying input signal. Model receptive fields of cortical neurons. Apply to action with realtionship of body parts. 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

Shan, Y.H.[Yan-Hu], Zhang, Z.[Zhang], Yang, P.P.[Pei-Pei], Huang, K.Q.[Kai-Qi],
Adaptive Slice Representation for Human Action Classification,
CirSysVideo(25), No. 10, October 2015, pp. 1624-1636.
IEEE DOI 1511
BibRef
Earlier: A1, A2, A4, Only:
Learning Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition,
Re-Id14(111-121).
Springer DOI 1504
feature extraction BibRef

Shan, Y.H.[Yan-Hu], Zhang, Z.[Zhang], Zhang, J.G.[Jun-Ge], Huang, K.Q.[Kai-Qi], Wu, N.[Na], Hyun, O.S.[Oh Se],
Interest Point Selection with Spatio-temporal Context for Realistic Action Recognition,
AVSS12(94-99).
IEEE DOI 1211
BibRef

Zhou, Z.L.[Zhuo-Li], Song, M.L.[Ming-Li], Zhang, L.M.[Lu-Ming], Tao, D.C.[Da-Cheng], Bu, J.J.[Jia-Jun], Chen, C.[Chun],
kPose: A New Representation For Action Recognition,
ACCV10(III: 436-447).
Springer DOI 1011
BibRef

Shao, L.[Ling], Ji, L.[Ling], Liu, Y.[Yan], Zhang, J.G.[Jian-Guo],
Human action segmentation and recognition via motion and shape analysis,
PRL(33), No. 4, March 2012, pp. 438-445.
Elsevier DOI 1201
Human action segmentation; Motion analysis; PCOG; Motion history image; Human action recognition BibRef

Wu, D.[Di], Shao, L.[Ling],
Silhouette Analysis-Based Action Recognition Via Exploiting Human Poses,
CirSysVideo(23), No. 2, February 2013, pp. 236-243.
IEEE DOI 1301
BibRef
And:
Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition,
CVPR14(724-731)
IEEE DOI 1409
See also Deep Dynamic Neural Networks for Gesture Segmentation and Recognition. 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

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
BibRef

Shao, L.[Ling], Gao, R.Y.[Ruo-Yun],
A Wavelet Based Local Descriptor for Human Action Recognition,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Youssef, M.M.[Menatoallah M.], Asari, K.V.[K. Vijayan],
Human action recognition using hull convexity defect features with multi-modality setups,
PRL(34), No. 15, 2013, pp. 1971-1979.
Elsevier DOI 1309
Human action recognition BibRef

Youssef, M.M.[Menatoallah M.], Asari, K.V.[K. Vijayan], Tompkins, R.C.[R. Cortland], Foytik, J.[Jacob],
Hull convexity defects features for human activity recognition,
AIPR10(1-7).
IEEE DOI 1010
BibRef

Nair, B.M.[Binu M.],
Unsupervised Deep Networks for Temporal Localization of Human Actions in Streaming Videos,
ISVC16(II: 143-155).
Springer DOI 1701
BibRef

Nair, B.M.[Binu M.], Asari, K.V.[K. Vijayan],
Learning and Association of Features for Action Recognition in Streaming Video,
ISVC14(II: 642-651).
Springer DOI 1501
BibRef

Barnachon, M.[Mathieu], Bouakaz, S.[Saïda], Boufama, B.[Boubakeur], Guillou, E.[Erwan],
A real-time system for motion retrieval and interpretation,
PRL(34), No. 15, 2013, pp. 1789-1798.
Elsevier DOI 1309
Motion retrieval BibRef

Barnachon, M.[Mathieu], Bouakaz, S.[Saïda], Boufama, B.[Boubakeur], Guillou, E.[Erwan],
Ongoing human action recognition with motion capture,
PR(47), No. 1, 2014, pp. 238-247.
Elsevier DOI 1310
BibRef
Earlier:
Human actions recognition from streamed Motion Capture,
ICPR12(3807-3810).
WWW Link. 1302
Human action recognition BibRef

Chaaraoui, A.A.[Alexandros Andre], Climent-Pérez, P.[Pau], Flórez-Revuelta, F.[Francisco],
Silhouette-based human action recognition using sequences of key poses,
PRL(34), No. 15, 2013, pp. 1799-1807.
Elsevier DOI 1309
Human action recognition BibRef

Chaaraoui, A.A.[Alexandros Andre], Padilla-Lopez, J.R., Flórez-Revuelta, F.[Francisco],
Fusion of Skeletal and Silhouette-Based Features for Human Action Recognition with RGB-D Devices,
CDC4CV13(91-97)
IEEE DOI 1403
feature extraction BibRef

Khan, F.S.[Fahad Shahbaz], Anwer, R.M.[Rao Muhammad], van de Weijer, J.[Joost], Bagdanov, A.D.[Andrew D.], Lopez, A.M.[Antonio M.], Felsberg, M.[Michael],
Coloring Action Recognition in Still Images,
IJCV(105), No. 3, December 2013, pp. 205-221.
Springer DOI 1309
From static images. Shape cues and color. BibRef

Khan, F.S.[Fahad Shahbaz], Anwer, R.M.[Rao Muhammad], van de Weijer, J.[Joost], Felsberg, M.[Michael], Laaksonen, J.[Jorma],
Deep Semantic Pyramids for Human Attributes and Action Recognition,
SCIA15(341-353).
Springer DOI 1506
BibRef

Khan, F.S.[Fahad Shahbaz], van de Weijer, J.[Joost], Anwer, R.M.[Rao Muhammad], Felsberg, M.[Michael], Gatta, C.,
Semantic Pyramids for Gender and Action Recognition,
IP(23), No. 8, August 2014, pp. 3633-3645.
IEEE DOI 1408
computer vision BibRef

Khan, F.S.[Fahad Shahbaz], van de Weijer, J.[Joost], Bagdanov, A.D.[Andrew D.], Felsberg, M.[Michael],
Scale Coding Bag-of-Words for Action Recognition,
ICPR14(1514-1519)
IEEE DOI 1412
Encoding BibRef

Khan, F.S.[Fahad Shahbaz], Xu, J.L.[Jiao-Long], van de Weijer, J.[Joost], Bagdanov, A.D.[Andrew D.], Anwer, R.M., Lopez, A.M.,
Recognizing Actions Through Action-Specific Person Detection,
IP(24), No. 11, November 2015, pp. 4422-4432.
IEEE DOI 1509
computer vision BibRef

Aminian Modarres, A.F., Soryani, M.,
Body posture graph: a new graph-based posture descriptor for human behaviour recognition,
IET-CV(7), No. 6, December 2013, pp. 488-499.
DOI Link 1402
graph theory BibRef

Yao, B.Z., Nie, B.X., Liu, Z.C.[Zi-Cheng], Zhu, S.C.[Song-Chun],
Animated Pose Templates for Modeling and Detecting Human Actions,
PAMI(36), No. 3, March 2014, pp. 436-452.
IEEE DOI 1403
computer animation BibRef

Wang, T.Q.[Tai-Qing], Wang, S.J.[Sheng-Jin], Ding, X.Q.[Xiao-Qing],
Detecting Human Action as the Spatio-Temporal Tube of Maximum Mutual Information,
CirSysVideo(24), No. 2, February 2014, pp. 277-290.
IEEE DOI 1403
Markov processes BibRef

Gu, J.X.[Jun-Xia], Ding, X.Q.[Xiao-Qing], Wang, S.J.[Sheng-Jin], Wu, Y.S.[You-Shou],
Full body tracking-based human action recognition,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier:
Adaptive particle filter with body part segmentation for full body tracking,
FG08(1-6).
IEEE DOI 0809
BibRef

Cheng, J.[Jian], Liu, H.J.[Hai-Jun], Li, H.S.[Hong-Sheng],
Silhouette analysis for human action recognition based on maximum spatio-temporal dissimilarity embedding,
MVA(25), No. 4, May 2014, pp. 1007-1018.
WWW Link. 1404
BibRef

Shen, W.[Wei], Deng, K.[Ke], Bai, X.[Xiang], Leyvand, T.[Tommer], Guo, B.[Baining], Tu, Z.W.[Zhuo-Wen],
Exemplar-Based Human Action Pose Correction,
Cyber(44), No. 7, July 2014, pp. 1053-1066.
IEEE DOI 1407
BibRef
Earlier:
Exemplar-based human action pose correction and tagging,
CVPR12(1784-1791).
IEEE DOI 1208
Cameras BibRef

Cheema, M.S.[Muhammad Shahzad], Eweiwi, A.[Abdalrahman], Bauckhage, C.[Christian],
Human activity recognition by separating style and content,
PRL(50), No. 1, 2014, pp. 130-138.
Elsevier DOI 1410
BibRef
Earlier:
Who is doing what? Simultaneous recognition of actions and actors,
ICIP12(749-752).
IEEE DOI 1302
Action recognition BibRef

Cheema, M.S.[Muhammad Shahzad], Eweiwi, A.[Abdalrahman], Bauckhage, C.[Christian],
Gait recognition by learning distributed key poses,
ICIP12(1393-1396).
IEEE DOI 1302
BibRef

Eweiwi, A.[Abdalrahman], Cheema, M.S.[Muhammad Shahzad], Bauckhage, C.[Christian],
Action recognition in still images by learning spatial interest regions from videos,
PRL(51), No. 1, 2015, pp. 8-15.
Elsevier DOI 1412
BibRef
Earlier: A2, A1, A3:
A Stochastic Late Fusion Approach to Human Action Recognition in Unconstrained Images and Videos,
GCPR14(616-628).
Springer DOI 1411
BibRef
Earlier: A1, A2, A3:
Discriminative Joint Non-negative Matrix Factorization for Human Action Classification,
GCPR13(61-70).
Springer DOI 1311
Action recognition BibRef

Eweiwi, A.[Abdalrahman], Cheema, M.S.[Muhammed S.], Bauckhage, C.[Christian], Gall, J.[Juergen],
Efficient Pose-Based Action Recognition,
ACCV14(V: 428-443).
Springer DOI 1504
BibRef

Cheema, M.S.[Muhammad Shahzad], Eweiwi, A.[Abdalrahman], Thurau, C.[Christian], Bauckhage, C.[Christian],
Action recognition by learning discriminative key poses,
PEAction11(1302-1309).
IEEE DOI 1201
BibRef
And: A2, A1, A3, A4:
Temporal key poses for human action recognition,
PEAction11(1310-1317).
IEEE DOI 1201
BibRef

Santos, L.[Luís], Khoshhal, K.[Kamrad], Dias, J.[Jorge],
Trajectory-based human action segmentation,
PR(48), No. 2, 2015, pp. 568-579.
Elsevier DOI 1411
Motion segmentation BibRef

Castro-Muñoz, G.[Gloria], Martínez-Carballido, J.[Jorge], Rosas-Romero, R.[Roberto],
A human action recognition approach with a novel reduced feature set based on the natural domain knowledge of the human figure,
SP:IC(30), No. 1, 2015, pp. 190-205.
Elsevier DOI 1412
Human action recognition BibRef

Ni, B.B.[Bing-Bing], Moulin, P.[Pierre], Yan, S.C.[Shui-Cheng],
Pose Adaptive Motion Feature Pooling for Human Action Analysis,
IJCV(111), No. 2, January 2015, pp. 229-248.
WWW Link. 1502
BibRef

Li, T.[Teng], Meng, Z.J.[Zhi-Jun], Ni, B.B.[Bing-Bing], Shen, J.B.[Jian-Bing], Wang, M.[Meng],
Robust geometric LP-norm feature pooling for image classification and action recognition,
IVC(55, Part 2), No. 1, 2016, pp. 64-76.
Elsevier DOI 1612
Feature pooling BibRef

Ni, B.B.[Bing-Bing], Moulin, P.[Pierre], Yang, X.K.[Xiao-Kang], Yan, S.C.[Shui-Cheng],
Motion Part Regularization: Improving action recognition via trajectory group selection,
CVPR15(3698-3706)
IEEE DOI 1510
BibRef

Ofli, F.[Ferda], Chaudhry, R.[Rizwan], Kurillo, G.[Gregorij], Vidal, R.[René], Bajcsy, R.[Ruzena],
Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition,
JVCIR(25), No. 1, 2014, pp. 24-38.
Elsevier DOI 1502
BibRef
Earlier: HAU3D12(8-13).
IEEE DOI 1207
Human action representation BibRef

Yang, X.D.[Xiao-Dong], Tian, Y.L.[Ying Li],
Effective 3D action recognition using EigenJoints,
JVCIR(25), No. 1, 2014, pp. 2-11.
Elsevier DOI 1502
BibRef
Earlier:
EigenJoints-based action recognition using Naïve-Bayes-Nearest-Neighbor,
HAU3D12(14-19).
IEEE DOI 1207
Action recognition BibRef

Theodorakopoulos, I.[Ilias], Kastaniotis, D.[Dimitris], Economou, G.[George], Fotopoulos, S.[Spiros],
Pose-based human action recognition via sparse representation in dissimilarity space,
JVCIR(25), No. 1, 2014, pp. 12-23.
Elsevier DOI 1502
Action recognition See also Gait based recognition via fusing information from Euclidean and Riemannian manifolds. BibRef

Devanne, M.[Maxime], Wannous, H.[Hazem], Berretti, S.[Stefano], Pala, P.[Pietro], Daoudi, M.[Mohamed], del Bimbo, A.,
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold,
Cyber(45), No. 7, July 2015, pp. 1340-1352.
IEEE DOI 1506
BibRef
Earlier: A1, A2, A3, A4, A5, Only:
Space-Time Pose Representation for 3D Human Action Recognition,
SBA13(456-464).
Springer DOI 1309
Feature extraction BibRef

Devanne, M.[Maxime], Berretti, S.[Stefano], Pala, P.[Pietro], Wannous, H.[Hazem], Daoudi, M.[Mohamed], del Bimbo, A.[Alberto],
Motion segment decomposition of RGB-D sequences for human behavior understanding,
PR(61), No. 1, 2017, pp. 222-233.
Elsevier DOI 1705
3D human behavior understanding BibRef

Li, C.G.[Chong-Guo], Yung, N.H.C.[Nelson H.C.],
Categorization of human actions with high dynamics in upper extremities based on arm pose modeling,
MVA(26), No. 5, July 2015, pp. 619-632.
WWW Link. 1506
BibRef

Sun, X., Yung, N.H.C.[Nelson H.C.], Lam, E.Y.[Edmund Y.],
Unsupervised Tracking With the Doubly Stochastic Dirichlet Process Mixture Model,
ITS(17), No. 9, September 2016, pp. 2594-2599.
IEEE DOI 1609
Computational modeling BibRef

Sun, X.[Xing], Yung, N.H.C.[Nelson H.C.], Lam, E.Y.[Edmund Y.], So, H.K.H.,
Computationally Efficient Hyperspectral Data Learning Based on the Doubly Stochastic Dirichlet Process,
GeoRS(55), No. 1, January 2017, pp. 363-374.
IEEE DOI 1701
Gaussian processes BibRef

Li, C.G.[Chong-Guo], Yung, N.H.C.[Nelson H. C.], Sun, X.[Xing], Lam, E.Y.[Edmund Y.],
Human arm pose modeling with learned features using joint convolutional neural network,
MVA(28), No. 1-2, February 2017, pp. 1-14.
WWW Link. 1702
BibRef
Earlier: A1, A2, A4, Only: MVA15(398-401)
IEEE DOI 1507
Computational modeling BibRef

Cheng, J., Liu, H., Wang, F., li, h., Zhu, C.,
Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning,
IP(24), No. 10, October 2015, pp. 3203-3217.
IEEE DOI 1507
Euclidean distance BibRef

Pazhoumand-Dar, H.[Hossein], Lam, C.P.[Chiou-Peng], Masek, M.[Martin],
Joint movement similarities for robust 3D action recognition using skeletal data,
JVCIR(30), No. 1, 2015, pp. 10-21.
Elsevier DOI 1507
Human action recognition BibRef

Amor, B.B., Su, J., Srivastava, A.,
Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories,
PAMI(38), No. 1, January 2016, pp. 1-13.
IEEE DOI 1601
Hidden Markov models BibRef

Cai, X., Zhou, W., Wu, L., Luo, J., Li, H.,
Effective Active Skeleton Representation for Low Latency Human Action Recognition,
MultMed(18), No. 2, February 2016, pp. 141-154.
IEEE DOI 1601
Acceleration BibRef

Azis, N.A., Jeong, Y.S., Choi, H.J., Iraqi, Y.,
Weighted averaging fusion for multi-view skeletal data and its application in action recognition,
IET-CV(10), No. 2, 2016, pp. 134-142.
DOI Link 1603
feature extraction BibRef

Zhu, G.M.[Guang-Ming], Zhang, L.[Liang], Shen, P.[Peiyi], Song, J.[Juan],
Human action recognition using multi-layer codebooks of key poses and atomic motions,
SP:IC(42), No. 1, 2016, pp. 19-30.
Elsevier DOI 1603
Human action recognition BibRef

Edwards, M.[Michael], Deng, J.J.[Jing-Jing], Xie, X.H.[Xiang-Hua],
From pose to activity: Surveying datasets and introducing CONVERSE,
CVIU(144), No. 1, 2016, pp. 73-105.
Elsevier DOI 1604
Human pose BibRef

Edwards, M.[Mike], Xie, X.H.[Xiang-Hua],
Generating Local Temporal Poses from Gestures with Aligned Cluster Analysis for Human Action Recognition,
BMVW15(xx-yy).
DOI Link 1601
BibRef

Liu, C.W.[Cui-Wei], Wu, X.X.[Xin-Xiao], Jia, Y.D.[Yun-De],
A Hierarchical Video Description for Complex Activity Understanding,
IJCV(118), No. 2, June 2016, pp. 240-255.
Springer DOI 1606
Atomic actions, to activities over long sequence. BibRef

Liu, C.W.[Cui-Wei], Kong, Y.[Yu], Wu, X.X.[Xin-Xiao], Jia, Y.D.[Yun-De],
Action recognition with discriminative mid-level features,
ICPR12(3366-3369).
WWW Link. 1302
BibRef

Du, Y.[Yong], Fu, Y., Wang, L.[Liang],
Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition,
IP(25), No. 7, July 2016, pp. 3010-3022.
IEEE DOI 1606
bone BibRef

Du, Y.[Yong], Wang, W.[Wei], Wang, L.[Liang],
Hierarchical recurrent neural network for skeleton based action recognition,
CVPR15(1110-1118)
IEEE DOI 1510
BibRef

Wang, L.M.[Li-Min], Qiao, Y.[Yu], Tang, X.[Xiaoou],
MoFAP: A Multi-level Representation for Action Recognition,
IJCV(119), No. 3, September 2016, pp. 254-271.
Springer DOI 1608
BibRef
Earlier:
Mining Motion Atoms and Phrases for Complex Action Recognition,
ICCV13(2680-2687)
IEEE DOI 1403
BibRef
And:
Motionlets: Mid-level 3D Parts for Human Motion Recognition,
CVPR13(2674-2681)
IEEE DOI 1309
action recognition; mid-level representation BibRef

Selmi, M.[Mouna], El Yacoubi, M.A.[Mounim A.], Dorizzi, B.[Bernadette],
Two-layer discriminative model for human activity recognition,
IET-CV(10), No. 4, 2016, pp. 273-278.
DOI Link 1608
BibRef
And:
On the sensitivity of spatio-temporal interest points to person identity,
Southwest12(69-72).
IEEE DOI 1205
feature extraction. STIP to encode action sequences BibRef

Bacha, S.[Siham], Allili, M.S.[Mohand Saïd], Benblidia, N.[Nadjia],
Event recognition in photo albums using probabilistic graphical models and feature relevance,
JVCIR(40, Part B), No. 1, 2016, pp. 546-558.
Elsevier DOI 1610
BibRef
And:
Event recognition in photo albums using probabilistic graphical model and feature relevance,
ICPR16(2819-2823)
IEEE DOI 1705
Estimation, Graphical models, Image recognition, Pattern recognition, Random variables, Roads, Semantics, event recognition, feature relevance, probabilistic, graphical, models BibRef

Photo albums

Zhou, Y.[Yu], Ming, A.[Anlong],
Human action recognition with skeleton induced discriminative approximate rigid part model,
PRL(83, Part 3), No. 1, 2016, pp. 261-267.
Elsevier DOI 1609
Human Action Recognition BibRef

Ijjina, E.P.[Earnest Paul], C, K.M.[Krishna Mohan],
Classification of human actions using pose-based features and stacked auto encoder,
PRL(83, Part 3), No. 1, 2016, pp. 268-277.
Elsevier DOI 1609
Human action recognition BibRef

Sharma, G.[Gaurav], Jurie, F.[Frederic], Schmid, C.[Cordelia],
Expanded Parts Model for Semantic Description of Humans in Still Images,
PAMI(39), No. 1, January 2017, pp. 87-101.
IEEE DOI 1612
BibRef
Earlier:
Expanded Parts Model for Human Attribute and Action Recognition in Still Images,
CVPR13(652-659)
IEEE DOI 1309
Analytical models. attributes See also EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification. BibRef

Zhao, Z.C.[Zhi-Chen], Ma, H.M.[Hui-Min], Chen, X.Z.[Xiao-Zhi],
Semantic parts based top-down pyramid for action recognition,
PRL(84), No. 1, 2016, pp. 134-141.
Elsevier DOI 1612
BibRef
Earlier:
Multi-scale region candidate combination for action recognition,
ICIP16(3071-3075)
IEEE DOI 1610
Semantic part learning. Detectors BibRef

Zhao, Z.C.[Zhi-Chen], Ma, H.M.[Hui-Min], Chen, X.Z.[Xiao-Zhi],
Generalized symmetric pair model for action classification in still images,
PR(64), No. 1, 2017, pp. 347-360.
Elsevier DOI 1701
Generalized symmetry BibRef

Jung, H.J.[Hyun-Joo], Hong, K.S.[Ki-Sang],
Modeling temporal structure of complex actions using Bag-of-Sequencelets,
PRL(85), No. 1, 2017, pp. 21-28.
Elsevier DOI 1612
BibRef
Earlier:
Enhanced Sequence Matching for Action Recognition from 3D Skeletal Data,
ACCV14(V: 226-240).
Springer DOI 1504
Action recognition BibRef

de Alcantara, M.F.[Marlon Fernandes], Pedrini, H.[Helio], Flórez-Revuelta, F.[Francisco],
Action identification using a descriptor with autonomous fragments in a multilevel prediction scheme,
SIViP(11), No. 2, February 2017, pp. 325-332.
Springer DOI 1702
BibRef

de Alcântara, M.F.[Marlon F.], Moreira, T.P.[Thierry P.], Pedrini, H.[Helio],
Motion Silhouette-Based Real Time Action Recognition,
CIARP13(II:471-478).
Springer DOI 1311
BibRef

Qiao, R.Z.[Rui-Zhi], Liu, L.Q.[Ling-Qiao], Shen, C.H.[Chun-Hua], van den Hengel, A.J.[Anton J.],
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition,
PR(66), No. 1, 2017, pp. 202-212.
Elsevier DOI 1704
Action recognition BibRef

Liu, M.Y.[Meng-Yuan], Liu, H.[Hong], Chen, C.[Chen],
Enhanced skeleton visualization for view invariant human action recognition,
PR(68), No. 1, 2017, pp. 346-362.
Elsevier DOI 1704
Human action recognition BibRef


Qian, Y., Chen, W.B.[Wen-Bin], Shen, I.F.[I-Fan],
Mutually incoherent pose bases for Action recognition,
ICPR16(823-828)
IEEE DOI 1705
Dictionaries, Encoding, Image recognition, Legged locomotion, Semantics, Torso, Training BibRef

Boulahia, S.Y., Anquetil, E., Kulpa, R., Multon, F.,
HIF3D: Handwriting-Inspired Features for 3D skeleton-based action recognition,
ICPR16(985-990)
IEEE DOI 1705
Feature extraction, Handwriting recognition, Skeleton, Three-dimensional displays, Trajectory, Two dimensional displays, HIF3D, Handwriting-Inspired Features, Human action recognition, Joint trajectory modelling, RGB-D data, Skeleton-based, features 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

Ding, W., Liu, K., Li, G., Ran, X.,
Human action recognition using spectral embedding to similarity degree between postures,
VCIP16(1-4)
IEEE DOI 1701
Clustering algorithms 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], Wang, Y.[Yin], Gou, M.[Mengran], 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

Lillo, I., Niebles, J.C., Soto, A.,
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets,
CVPR16(1981-1990)
IEEE DOI 1612
BibRef

Koniusz, P.[Piotr], Cherian, A.[Anoop], Porikli, F.M.[Fatih M.],
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons,
ECCV16(IV: 37-53).
Springer DOI 1611
BibRef
Earlier: A1, A2, Only:
Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition,
CVPR16(5395-5403)
IEEE DOI 1612
BibRef

Wang, P.[Pei], Yuan, C.F.[Chun-Feng], Hu, W.M.[Wei-Ming], Li, B.[Bing], Zhang, Y.[Yanning],
Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition,
ECCV16(VII: 370-385).
Springer DOI 1611
BibRef

Ubalde, S., Gómez-Fernández, F., Goussies, N.A., Mejail, M.,
Skeleton-based action recognition using Citation-kNN on bags of time-stamped pose descriptors,
ICIP16(3051-3055)
IEEE DOI 1610
Hafnium BibRef

Halim, A.A., Dartigues-Pallez, C., Precioso, F., Riveill, M., Benslimane, A., Ghoneim, S.,
Human action recognition based on 3D skeleton part-based pose estimation and temporal multi-resolution analysis,
ICIP16(3041-3045)
IEEE DOI 1610
Diseases 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

Goutsu, Y., Takano, W., Nakamura, Y.,
Motion Recognition Employing Multiple Kernel Learning of Fisher Vectors Using Local Skeleton Features,
ChaLearnDec15(321-328)
IEEE DOI 1602
Biological system modeling BibRef

Tao, L., Vidal, R.,
Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition,
ChaLearnDec15(303-311)
IEEE DOI 1602
Computational modeling BibRef

Batabyal, T.[Tamal], Chattopadhyay, T.[Tanushyam], Mukherjee, D.P.[Dipti Prasad],
Action recognition using joint coordinates of 3D skeleton data,
ICIP15(4107-4111)
IEEE DOI 1512
Covariance; Kinect; Local Linear Embedding 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.[Xinghao], Sun, T.[Tanfeng],
Human activity recognition based on pose points selection,
ICIP15(2930-2834)
IEEE DOI 1512
Activity recognition; BOVW; pose points BibRef

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

Favorskaya, M., Novikov, D., Savitskaya, Y.,
Human Action Poselets Estimation Via Color G-Surf in Still Images,
PTVSBB15(51-58).
DOI Link 1508
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

Guan, N.Y.[Nai-Yang], Tao, D.C.[Da-Cheng], Lan, L.[Long], Luo, Z.G.[Zhi-Gang], Yang, X.J.[Xue-Jun],
Activity Recognition in Still Images with Transductive Non-negative Matrix Factorization,
VECTaR14(802-817).
Springer DOI 1504
BibRef

Meshry, M., Hussein, M.E.[Mohamed E.], Torki, M.[Marwan],
Linear-time online action detection from 3D skeletal data using bags of gesturelets,
WACV16(1-9)
IEEE DOI 1606
Feature extraction BibRef

Sharaf, A.[Amr], Torki, M.[Marwan], Hussein, M.E.[Mohamed E.], El-Saban, M.[Motaz],
Real-Time Multi-scale Action Detection from 3D Skeleton Data,
WACV15(998-1005)
IEEE DOI 1503
Detectors BibRef

Wang, P.C.[Pi-Chao], Li, W.Q.[Wan-Qing], Ogunbona, P., Gao, Z.M.[Zhi-Min], Zhang, H.L.[Han-Ling],
Mining Mid-Level Features for Action Recognition Based on Effective Skeleton Representation,
DICTA14(1-8)
IEEE DOI 1502
computer graphics BibRef

Murthy, O.V.R.[O.V. Ramana], Radwan, I.[Ibrahim], Goecke, R.[Roland],
Dense body part trajectories for human action recognition,
ICIP14(1465-1469)
IEEE DOI 1502
Detectors BibRef

Zhou, L.J.[Li-Juan], Li, W.Q.[Wan-Qing], Zhang, Y.[Yuyao], Ogunbona, P., Nguyen, D.T.[Duc Thanh], Zhang, H.[Hanling],
Discriminative Key Pose Extraction Using Extended LC-KSVD for Action Recognition,
DICTA14(1-8)
IEEE DOI 1502
image classification 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

Evangelidis, G.[Georgios], Singh, G.[Gurkirt], Horaud, R.[Radu],
Skeletal Quads: Human Action Recognition Using Joint Quadruples,
ICPR14(4513-4518)
IEEE DOI 1412
Accuracy; Joints; Kernel; Three-dimensional displays; Training; Vectors 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

Hoai, M.[Minh], Ladicky, L.[Lubor], Zisserman, A.[Andrew],
Action Recognition From Weak Alignment of Body Parts,
BMVC14(xx-yy).
HTML Version. 1410
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

Papadopoulos, G.T.[Georgios T.], Axenopoulos, A.[Apostolos], Daras, P.[Petros],
Real-Time Skeleton-Tracking-Based Human Action Recognition Using Kinect Data,
MMMod14(I: 473-483).
Springer DOI 1405
BibRef

Murthy, O.V.R., Radwan, I., Dhall, A., Goecke, R.,
On the Effect of Human Body Parts in Large Scale Human Behaviour Recognition,
DICTA13(1-8)
IEEE DOI 1402
behavioural sciences computing 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
BibRef

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
BibRef

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

Chaudhry, R.[Rizwan], Ofli, F.[Ferda], Kurillo, G.[Gregorij], Bajcsy, R.[Ruzena], Vidal, R.[Rene],
Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition,
HAU3D13(471-478)
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
BibRef

Zheng, Y.[Yin], Zhang, Y.J.[Yu-Jin], Li, X.[Xue], Liu, B.D.[Bao-Di],
Action recognition in still images using a combination of human pose and context information,
ICIP12(785-788).
IEEE DOI 1302
BibRef

Sclaroff, S.[Stan],
People in Motion: Pose, Action and Communication,
BMVC12(3).
DOI Link 1301
Overview. BibRef

Bakken, R.H., Eliassen, L.M.,
Real-time 3D skeletonisation in computer vision-based human pose estimation using GPGPU,
IPTA12(61-67)
IEEE DOI 1503
graphics processing units BibRef

Bakken, R.H.[Rune Havnung], Hilton, A.[Adrian],
Real-Time Pose Estimation Using Constrained Dynamics,
AMDO12(37-46).
Springer DOI 1208
BibRef

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
BibRef

Karali, A.[Abubakrelsedik], El Helw, M.[Mohamed],
Motion History of Skeletal Volumes for Human Action Recognition,
ISVC12(II: 135-144).
Springer DOI 1209
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
BibRef

Xu, R.[Ran], Agarwal, P.[Priyanshu], Kumar, S.[Suren], Krovi, V.N.[Venkat N.], Corso, J.J.[Jason J.],
Combining Skeletal Pose with Local Motion for Human Activity Recognition,
AMDO12(114-123).
Springer DOI 1208
BibRef

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
BibRef

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
BibRef

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

Yoon, S.M.[Sang Min], Kuijper, A.[Arjan],
Human Action Recognition Using Segmented Skeletal Features,
ICPR10(3740-3743).
IEEE DOI 1008
BibRef
And:
3D Human Action Recognition Using Model Segmentation,
ICIAR10(I: 189-199).
Springer DOI 1006
BibRef

Wang, L.[Liang], Leckie, C.[Christopher],
Encoding Actions via Quantized Vocabulary of Averaged Silhouettes,
ICPR10(3657-3660).
IEEE DOI 1008
BibRef

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

Yang, W.L.[Wei-Long], Wang, Y.[Yang], Mori, G.[Greg],
Efficient Human Action Detection Using a Transferable Distance Function,
ACCV09(II: 417-426).
Springer DOI 0909
BibRef

Yang, W.L.[Wei-Long], Wang, Y.[Yang], Mori, G.[Greg],
Recognizing human actions from still images with latent poses,
CVPR10(2030-2037).
IEEE DOI 1006
BibRef
Earlier:
Human action recognition from a single clip per action,
MLMotion09(482-489).
IEEE DOI 0910
BibRef

Thurau, C.[Christian], Hlavac, V.[Vaclav],
Pose primitive based human action recognition in videos or still images,
CVPR08(1-8).
IEEE DOI 0806
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], Collins, R.T.[Robert T.], Hauptmann, A.G.[Alexander G.], Wactlar, H.D.[Howard D.],
Articulated Motion Modeling for Activity Analysis,
Non-Rigid04(20).
WWW Link. 0502
BibRef

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

Atine, J.C.[Jean-Charles],
People Action Recognition in Image Sequences Using a 3D Articulated Object,
ICIAR04(I: 769-777).
Springer DOI 0409
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Action Recognition and Detection Using Depth, RGB-D, Kinect .


Last update:May 25, 2017 at 22:18:08