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
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
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
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
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
Yang, X.D.[Xiao-Dong],
Tian, Y.L.[Ying Li],
Effective 3D action recognition using Eigen_Joints,
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
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
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
Ijjina, E.P.[Earnest Paul],
Mohan, C.K.[C. Krishna],
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
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
Su, B.[Bing],
Zhou, J.H.[Jia-Huan],
Ding, X.Q.[Xiao-Qing],
Wu, Y.[Ying],
Unsupervised Hierarchical Dynamic Parsing and Encoding for Action
Recognition,
IP(26), No. 12, December 2017, pp. 5784-5799.
IEEE DOI
1710
gesture recognition, Chalearn gesture, action recognition,
complex rhythms, globally drastic dynamic changes,
key poses, Hidden Markov models.
BibRef
Su, B.[Bing],
Zhou, J.H.[Jia-Huan],
Ding, X.Q.[Xiao-Qing],
Wang, H.[Hao],
Wu, Y.[Ying],
Hierarchical Dynamic Parsing and Encoding for Action Recognition,
ECCV16(IV: 202-217).
Springer DOI
1611
BibRef
Ma, M.[Miao],
Marturi, N.[Naresh],
Li, Y.B.[Yi-Bin],
Leonardis, A.[Ales],
Stolkin, R.[Rustam],
Region-sequence based six-stream CNN features for general and
fine-grained human action recognition in videos,
PR(76), No. 1, 2018, pp. 506-521.
Elsevier DOI
1801
Human pose
BibRef
Wu, H.[Hanbo],
Ma, X.[Xin],
Li, Y.B.[Yi-Bin],
Spatiotemporal Multimodal Learning With 3D CNNs for Video Action
Recognition,
CirSysVideo(32), No. 3, March 2022, pp. 1250-1261.
IEEE DOI
2203
Streaming media, Solid modeling, Dynamics,
Spatiotemporal phenomena, Image recognition, Data models, 3D CNNs
BibRef
Xu, Q.Y.[Qing-Yang],
Zheng, W.Q.[Wan-Qiang],
Song, Y.[Yong],
Zhang, C.J.[Cheng-Jin],
Yuan, X.F.[Xian-Feng],
Li, Y.B.[Yi-Bin],
Scene image and human skeleton-based dual-stream human action
recognition,
PRL(148), 2021, pp. 136-145.
Elsevier DOI
2107
Human action recognition, Dual-stream, Human skeleton,
Spatio-temporal graph convolution
BibRef
de Alcantara, M.F.[Marlon Fernandes],
Pedrini, H.[Helio],
Cao, Y.[Yu],
Human Action Classification Based on Silhouette Indexed Interest
Points for Multiple Domains,
IJIG(17), No. 03, 2017, pp. 1750018.
DOI Link
1710
BibRef
Nunes, U.M.[Urbano Miguel],
Faria, D.R.[Diego R.],
Peixoto, P.[Paulo],
A human activity recognition framework using max-min features and key
poses with differential evolution random forests classifier,
PRL(99), No. 1, 2017, pp. 21-31.
Elsevier DOI
1710
Human, activity, recognition
BibRef
Ding, W.W.[Wen-Wen],
Liu, K.[Kai],
Chen, H.[Hao],
Tang, F.Q.[Feng-Qin],
Human action recognition using similarity degree between postures and
spectral learning,
IET-CV(12), No. 1, February 2018, pp. 110-117.
DOI Link
1801
BibRef
Ding, W.W.[Wen-Wen],
Liu, K.[Kai],
Li, G.,
Ran, X.,
Human action recognition using spectral embedding to similarity
degree between postures,
VCIP16(1-4)
IEEE DOI
1701
Clustering algorithms
BibRef
Yi, Y.[Yun],
Wang, H.L.[Han-Li],
Motion keypoint trajectory and covariance descriptor for human action
recognition,
VC(34), No. 3, March 2018, pp. 391-403.
Springer DOI
1802
BibRef
Qian, Y.Z.[Yin-Zhong],
Chen, W.B.[Wen-Bin],
Shen, I.F.[I-Fan],
Action recognition from mutually incoherent pose bases in static image,
IET-CV(12), No. 3, April 2018, pp. 233-240.
DOI Link
1804
BibRef
Earlier:
Mutually incoherent pose bases for Action recognition,
ICPR16(823-828)
IEEE DOI
1705
Dictionaries, Encoding, Image recognition, Legged locomotion,
Semantics, Torso, Training
BibRef
Tu, Z.G.[Zhi-Gang],
Xie, W.[Wei],
Qin, Q.Q.[Qian-Qing],
Poppe, R.[Ronald],
Veltkamp, R.C.[Remco C.],
Li, B.X.[Bao-Xin],
Yuan, J.S.[Jun-Song],
Multi-stream CNN: Learning representations based on human-related
regions for action recognition,
PR(79), 2018, pp. 32-43.
Elsevier DOI
1804
Convolutional Neural Network, Action recognition, Multi-Stream,
Motion salient region
BibRef
Mliki, H.[Hazar],
Zaafouri, R.[Rabàa],
Hammami, M.[Mohamed],
Human action recognition based on discriminant body regions selection,
SIViP(12), No. 5, July 2018, pp. 845-852.
WWW Link.
1806
BibRef
Mliki, H.[Hazar],
Bouhlel, F.[Fatma],
Hammami, M.[Mohamed],
Human activity recognition from UAV-captured video sequences,
PR(100), 2020, pp. 107140.
Elsevier DOI
2005
Scene stabilization, Human detection,
Human activity recognition, Deep learning, UAV
BibRef
Qi, J.,
Wang, Z.,
Lin, X.,
Li, C.,
Learning Complex Spatio-Temporal Configurations of Body Joints for
Online Activity Recognition,
HMS(48), No. 6, December 2018, pp. 637-647.
IEEE DOI
1812
image representation, image sequences,
learning (artificial intelligence), object recognition,
sparse coding
BibRef
Cherian, A.[Anoop],
Gould, S.[Stephen],
Second-order Temporal Pooling for Action Recognition,
IJCV(127), No. 4, April 2019, pp. 340-362.
Springer DOI
1903
BibRef
Cherian, A.[Anoop],
Koniusz, P.[Piotr],
Gould, S.[Stephen],
Higher-Order Pooling of CNN Features via Kernel Linearization for
Action Recognition,
WACV17(130-138)
IEEE DOI
1609
Computational modeling, Correlation, Feature extraction,
Image recognition, Kernel, Tensile stress, Video, sequences
BibRef
Wang, J.,
Cherian, A.[Anoop],
Porikli, F.M.[Fatih M.],
Ordered Pooling of Optical Flow Sequences for Action Recognition,
WACV17(168-176)
IEEE DOI
1609
Dynamics, Feature extraction, Optical imaging,
Optical noise, Standards, Support, vector, machines
BibRef
Agahian, S.[Saeid],
Negin, F.[Farhood],
Köse, C.[Cemal],
Improving bag-of-poses with semi-temporal pose descriptors for
skeleton-based action recognition,
VC(35), No. 4, April 2019, pp. 591-607.
WWW Link.
1906
BibRef
Li, Y.R.[Yan-Ran],
Wang, Z.[Zhao],
Yang, X.S.[Xiao-Song],
Wang, M.L.[Mei-Li],
Poiana, S.I.[Sebastian Iulian],
Chaudhry, E.[Ehtzaz],
Zhang, J.J.[Jian-Jun],
Efficient convolutional hierarchical autoencoder for human motion
prediction,
VC(35), No. 6-8, June 2018, pp. 1143-1156.
Springer DOI
1906
BibRef
Kamel, A.,
Sheng, B.,
Yang, P.,
Li, P.,
Shen, R.,
Feng, D.D.,
Deep Convolutional Neural Networks for Human Action Recognition Using
Depth Maps and Postures,
SMCS(49), No. 9, Sep. 2019, pp. 1806-1819.
IEEE DOI
1908
Feature extraction, Image recognition,
Convolutional neural networks, Cameras, Information technology,
moving joints descriptor (MJD)
BibRef
Zhu, J.,
Zou, W.,
Zhu, Z.,
Xu, L.,
Huang, G.,
Action Machine: Toward Person-Centric Action Recognition in Videos,
SPLetters(26), No. 11, November 2019, pp. 1633-1637.
IEEE DOI
1911
Pose estimation, Videos, Heating systems,
Training, Magnetic heads, Head, Video action recognition,
pose estimation
BibRef
Dhiman, C.,
Vishwakarma, D.K.,
View-Invariant Deep Architecture for Human Action Recognition Using
Two-Stream Motion and Shape Temporal Dynamics,
IP(29), 2020, pp. 3835-3844.
IEEE DOI
2002
Human action recognition, spatial temporal dynamics,
human pose model, late fusion
BibRef
Zhang, J.[Jing],
Li, W.Q.[Wan-Qing],
Ogunbona, P.O.[Philip O.],
Wang, P.[Pichao],
Tang, C.[Chang],
RGB-D-based action recognition datasets: A survey,
PR(60), No. 1, 2016, pp. 86-105.
Elsevier DOI
1609
Dataset, Action Recognition. Action recognition
BibRef
Zhou, L.J.[Li-Juan],
Li, W.Q.[Wan-Qing],
Ogunbona, P.O.[Philip O.],
Zhang, Z.Y.[Zheng-You],
Semantic action recognition by learning a pose lexicon,
PR(72), No. 1, 2017, pp. 548-562.
Elsevier DOI
1708
Lexicon
BibRef
Zhou, L.J.[Li-Juan],
Li, W.Q.[Wan-Qing],
Ogunbona, P.O.[Philip O.],
Zhang, Z.,
Jointly Learning Visual Poses and Pose Lexicon for Semantic Action
Recognition,
CirSysVideo(30), No. 2, February 2020, pp. 457-467.
IEEE DOI
2002
Visualization, Semantics, Hidden Markov models,
Probabilistic logic, Computational modeling,
visual pose
BibRef
Zhou, L.J.[Li-Juan],
Jiang, T.[Tao],
Learning body part-based pose lexicons for semantic action
recognition,
IET-CV(17), No. 2, 2023, pp. 135-155.
DOI Link
2304
body parts, cross-modality, pose lexicons, semantic action recognition
BibRef
Zhou, L.J.[Li-Juan],
Li, W.Q.[Wan-Qing],
Zhang, Y.Y.[Yu-Yao],
Ogunbona, P.O.[Philip O.],
Nguyen, D.T.[Duc Thanh],
Zhang, H.L.[Han-Ling],
Discriminative Key Pose Extraction Using Extended LC-KSVD for Action
Recognition,
DICTA14(1-8)
IEEE DOI
1502
image classification
BibRef
Li, Y.[Yang],
Li, K.[Kan],
Wang, X.X.[Xin-Xin],
Recognizing actions in images by fusing multiple body structure cues,
PR(104), 2020, pp. 107341.
Elsevier DOI
2005
Image-based action recognition, Convolutional neural network,
Body structure cues
BibRef
Angelini, F.,
Fu, Z.,
Long, Y.,
Shao, L.,
Naqvi, S.M.A.[Syed Moeen Ali],
2D Pose-Based Real-Time Human Action Recognition With
Occlusion-Handling,
MultMed(22), No. 6, June 2020, pp. 1433-1446.
IEEE DOI
2005
Feature extraction,
Target tracking, Detectors, Skeleton,
CCTV
BibRef
Sun, H.[Hao],
Ning, G.H.[Guang-Han],
Zhao, Z.Q.[Zhi-Qun],
Huang, Z.C.[Zhong-Chao],
He, Z.H.[Zhi-Hai],
Automated work efficiency analysis for smart manufacturing using
human pose tracking and temporal action localization,
JVCIR(73), 2020, pp. 102948.
Elsevier DOI
2012
Smart manufacturing, Deep learning, Human pose estimation,
Dynamic time warping, Temporal activity localization,
Generative adversarial networks
BibRef
Song, L.C.[Liang-Chen],
Yu, G.[Gang],
Yuan, J.S.[Jun-Song],
Liu, Z.C.[Zi-Cheng],
Human pose estimation and its application to action recognition:
A survey,
JVCIR(76), 2021, pp. 103055.
Elsevier DOI
2104
Survey, Human Pose. Pose estimation, Action recognition
BibRef
Ahad, M.A.R.[Md Atiqur Rahman],
Ahmed, M.[Masud],
Das Antar, A.[Anindya],
Makihara, Y.S.[Yasu-Shi],
Yagi, Y.S.[Yasu-Shi],
Action recognition using kinematics posture feature on 3D skeleton
joint locations,
PRL(145), 2021, pp. 216-224.
Elsevier DOI
2104
Action recognition, Skeleton data, Kinematics posture feature (KPF),
Angular joint position feature (AJPF)
BibRef
Takasaki, C.[Chikako],
Takefusa, A.[Atsuko],
Nakada, H.[Hidemoto],
Oguchi, M.[Masato],
Action Recognition Using Pose Data in a Distributed Environment over
the Edge and Cloud,
IEICE(E104-D), No. 5, May 2021, pp. 539-550.
WWW Link.
2105
BibRef
Ahmed, M.[Masud],
Antar, A.D.[Anindya Das],
Ahad, M.A.R.[Md Atiqur Rahman],
Static postural transition-based technique and efficient feature
extraction for sensor-based activity recognition,
PRL(147), 2021, pp. 25-33.
Elsevier DOI
2106
Activity recognition, Average Height, Classification,
Static posture, Pairwise feature selection, Smartphone Sensors
BibRef
Luvizon, D.C.[Diogo C.],
Picard, D.[David],
Tabia, H.[Hedi],
Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and
Action Recognition,
PAMI(43), No. 8, August 2021, pp. 2752-2764.
IEEE DOI
2107
BibRef
Earlier:
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
Shi, Y.X.[Yu-Xuan],
Wei, Z.[Zhen],
Ling, H.F.[He-Fei],
Wang, Z.Y.[Zi-Yang],
Zhu, P.F.[Peng-Fei],
Shen, J.L.[Jia-Lie],
Li, P.[Ping],
Adaptive and Robust Partition Learning for Person Retrieval With
Policy Gradient,
MultMed(23), 2021, pp. 3264-3277.
IEEE DOI
2109
Feature extraction, Adaptation models, Robustness, Pose estimation,
Adaptive systems, Training, Computational modeling,
reinforcement learning
BibRef
Mazzia, V.[Vittorio],
Angarano, S.[Simone],
Salvetti, F.[Francesco],
Angelini, F.[Federico],
Chiaberge, M.[Marcello],
Action Transformer: A self-attention model for short-time pose-based
human action recognition,
PR(124), 2022, pp. 108487.
Elsevier DOI
2203
Human action recognition, Deep learning, Computer vision, Transformer
BibRef
Topham, L.K.[Luke K.],
Khan, W.[Wasiq],
Al-Jumeily, D.[Dhiya],
Hussain, A.[Abir],
Human Body Pose Estimation for Gait Identification:
A Comprehensive Survey of Datasets and Models,
Surveys(55), No. 6, June 2023, pp. xx-yy.
DOI Link
2212
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],
Research on the application of body posture action feature extraction
and recognition comparison,
IET-IPR(17), No. 1, 2023, pp. 104-117.
DOI Link
2301
BibRef
Zou, Y.L.[Yu-Liang],
Choi, J.[Jinwoo],
Wang, Q.T.[Qi-Tong],
Huang, J.B.[Jia-Bin],
Learning representational invariances for data-efficient action
recognition,
CVIU(227), 2023, pp. 103597.
Elsevier DOI
2301
3D human pose and shape estimation, Self-supervised learning, Occlusion handling
BibRef
Yang, Y.X.[Yu-Xing],
Angelini, F.[Federico],
Naqvi, S.M.[Syed Mohsen],
Pose-driven human activity anomaly detection in a CCTV-like
environment,
IET-IPR(17), No. 3, 2023, pp. 674-686.
DOI Link
2303
BibRef
Yang, D.[Di],
Wang, Y.[Yaohui],
Dantcheva, A.[Antitza],
Garattoni, L.[Lorenzo],
Francesca, G.[Gianpiero],
Brémond, F.[François],
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],
Overlooked Poses Actually Make Sense:
Distilling Privileged Knowledge for Human Motion Prediction,
ECCV22(V:678-694).
Springer DOI
2211
BibRef
Lamghari, S.[Soufiane],
Bilodeau, G.A.[Guillaume-Alexandre],
Saunier, N.[Nicolas],
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
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
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
Sclaroff, S.[Stan],
People in Motion: Pose, Action and Communication,
BMVC12(3).
DOI Link
1301
Overview.
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
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
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
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
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
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 .