16.7.4.6 Human Action Detection, Human Action Recognition

Chapter Contents (Back)
Action Recognition. Human Actions. Human Motion. Spatio-Temporal analysis methods: See also Spatio-Temporal Techniques for Human Action Recognition and Detection. Learning: See also Learning for Human Action Recognition and Detection. More focused on Basic Actions, for extended activities see: See also Human Activity Recognition, Human Behaviors. See also Viewpoint invariant, View Invariant, Human Action Detection, Human Action Recognition. See also Tracking Animals, Animal Gait. See also Surveillance, Human Motion, Surveys, Reviews, Overviews, Representations. Certain activities are part of video conferencing systems: See also Video Conferencing, Videoconference, Teleconference.

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Earlier:
Recognizing human activities,
AVSBS03(157-162).
WWW Link. 0310
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Kawanaka, D.[Daiki], Okatani, T.[Takayuki], Deguchi, K.[Koichiro],
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Yilmaz, A.[Alper], Shah, M.[Mubarak],
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CVIU(103), No. 2-3, November-December 2006, pp. 221-231.
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Earlier:
Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras,
ICCV05(I: 150-157).
IEEE DOI 0510
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Earlier:
Actions Sketch: A Novel Action Representation,
CVPR05(I: 984-989).
IEEE DOI 0507
Action recognition; Epipolar geometry; Video; Action retrieval; Moving camera BibRef

Yilmaz, A.[Alper], Shah, M.[Mubarak],
A differential geometric approach to representing the human actions,
CVIU(109), No. 3, March 2008, pp. 335-351.
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Human Actions; Differential geometry; Epipolar geometry; Action representation; Action recognition BibRef

Meng, H.Y.[Hong-Ying], Freeman, M.[Michael], Pears, N.E.[Nick E.], Bailey, C.[Chris],
Real-time human action recognition on an embedded, reconfigurable video processing architecture,
RealTimeIP(3), No. 3, September 2008, pp. xx-yy.
Springer DOI 0804
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Earlier: A1, A3, A4, Only:
A Human Action Recognition System for Embedded Computer Vision Application,
EmbedCV07(1-6).
IEEE DOI 0706
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Yeo, C., Ahammad, P., Ramchandran, K., Sastry, S.S.,
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IEEE DOI 0809
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Escobar, M.J.[Maria-Jose], Masson, G.S.[Guillaume S.], Vieville, T.[Thierry], Kornprobst, P.[Pierre],
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Springer DOI 0903
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Medathati, N.V.K.[N. V. Kartheek], Neumann, H.[Heiko], Masson, G.S.[Guillaume S.], Kornprobst, P.[Pierre],
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Escobar, M.J.[María-José], Kornprobst, P.[Pierre],
Action recognition via bio-inspired features: The richness of center-surround interaction,
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Elsevier DOI 1203
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Earlier:
Action Recognition with a Bio-inspired Feedforward Motion Processing Model: The Richness of Center-Surround Interactions,
ECCV08(IV: 186-199).
Springer DOI 0810
Action recognition; Bio-inspired models; V1; MT; Motion analysis; Center-surround interaction BibRef

Wang, Y.[Yang], Mori, G.[Greg],
Human Action Recognition by Semilatent Topic Models,
PAMI(31), No. 10, October 2009, pp. 1762-1774.
IEEE DOI 0909
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And:
A Discriminative Latent Model of Object Classes and Attributes,
ECCV10(V: 155-168).
Springer DOI 1009
See also Discriminative Latent Models for Recognizing Contextual Group Activities. BibRef

Wang, Y.[Yang], Mori, G.[Greg],
Max-margin Latent Dirichlet Allocation for Image Classification and Annotation,
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Wang, Y.[Yang], Sabzmeydani, P.[Payam], Mori, G.[Greg],
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition,
HUMO07(240-254).
Springer DOI 0710
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Huang, Z.F.[Zhi Feng], Yang, W.L.[Wei-Long], Wang, Y.[Yang], Mori, G.[Greg],
Latent Boosting for Action Recognition,
BMVC11(xx-yy).
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Ning, H., Han, T.X., Walther, D.B., Liu, M., Huang, T.S.,
Hierarchical Space-Time Model Enabling Efficient Search for Human Actions,
CirSysVideo(19), No. 6, June 2009, pp. 808-820.
IEEE DOI 0906
BibRef

Luo, Q.S.[Qing-Shan], Kong, X.D.[Xiao-Dong], Zeng, G.H.[Gui-Hua], Fan, J.P.[Jian-Ping],
Human action detection via boosted local motion histograms,
MVA(21), No. 3, April 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Liu, H.W.[Hao-Wei], Feris, R.S.[Rogerio S.], Krueger, V.[Volker], Sun, M.T.[Ming-Ting],
Unsupervised Action Classification Using Space-Time Link Analysis,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1003
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Wu, X.[Xian], Lai, J.H.[Jian-Huang],
Tensor-based projection using ridge regression and its application to action classification,
IET-IPR(4), No. 6, December 2010, pp. 486-493.
DOI Link 1101
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Wu, X.[Xian], Lai, J.H.[Jian-Huang], Chen, X.L.[Xi-Lin],
Efficient human action detection: a coarse-to-fine strategy,
ICIP10(701-704).
IEEE DOI 1009
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Shi, Q.F.[Qin-Feng], Cheng, L.[Li], Wang, L.[Li], Smola, A.J.[Alex J.],
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models,
IJCV(93), No. 1, May 2011, pp. 22-32.
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Earlier: A1, A3, A2, A4:
Discriminative human action segmentation and recognition using semi-Markov model,
CVPR08(1-8).
IEEE DOI 0806
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Wang, L., Cheng, L., Wang, L.,
Elastic Sequence Correlation for Human Action Analysis,
IP(20), No. 6, June 2011, pp. 1725-1738.
IEEE DOI 1106
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Orozco, H.[Héctor], Ramos, F.[Félix], Ramos, M.[Marco], Thalmann, D.[Daniel],
An action selection process to simulate the human behavior in virtual humans with real personality,
VC(27), No. 4, April 2011, pp. 275-285.
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Wang, Y.[Yang], Mori, G.[Greg],
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin,
PAMI(33), No. 7, July 2011, pp. 1310-1323.
IEEE DOI 1106
BibRef
Earlier:
Max-margin hidden conditional random fields for human action recognition,
CVPR09(872-879).
IEEE DOI 0906
BibRef

Cui, P., Wang, F., Sun, L.F., Zhang, J.W., Yang, S.Q.,
A Matrix-Based Approach to Unsupervised Human Action Categorization,
MultMed(14), No. 1, January 2012, pp. 102-110.
IEEE DOI 1201
BibRef

Guo, P.[Ping], Miao, Z.J.[Zhen-Jiang], Zhang, X.P.[Xiao-Ping], Wang, Z.[Zhe],
A Fast Sub-Volume Search Method for Human Action Detection,
IEICE(E95-D), No. 1, January 2012, pp. 285-288.
WWW Link. 1201
BibRef

Guo, P.[Ping], Miao, Z.J.[Zhen-Jiang], Shen, Y.[Yuan], Cheng, H.D.[Heng-Da],
Real Time Human Action Recognition in a Long Video Sequence,
AVSS10(248-255).
IEEE DOI 1009
BibRef

Mandal, B.[Bappaditya], Eng, H.L.[How-Lung],
Regularized Discriminant Analysis for Holistic Human Activity Recognition,
IEEE_Int_Sys(27), No. 1, January-February 2012, pp. 21-31.
IEEE DOI 1203
BibRef

Bian, W., Tao, D., Rui, Y.,
Cross-Domain Human Action Recognition,
SMC-B(42), No. 2, April 2012, pp. 298-307.
IEEE DOI 1204
BibRef

Yu, Z.Z.[Zhe-Zhou], Jia, C.C.[Cheng-Cheng], Pang, W.[Wei], Zhang, C.Y.[Can-Yan], Zhong, L.H.[Li-Hua],
Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization,
SPLetters(19), No. 2, February 2012, pp. 95-98.
IEEE DOI 1201
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Rahman, S.A.[Shah Atiqur], Cho, S.Y.[Siu-Yeung], Leung, M.K.H.,
Recognising human actions by analysing negative spaces,
IET-CV(6), No. 3, 2012, pp. 197-213.
DOI Link 1205
BibRef

Rahman, S.A.[Shah Atiqur], Leung, M.K.H., Cho, S.Y.[Siu-Yeung],
Human action recognition employing negative space features,
JVCIR(24), No. 3, April 2013, pp. 217-231.
Elsevier DOI 1303
BibRef
Earlier:
Human Action Recognition by Extracting Features from Negative Space,
CIAP11(II: 29-39).
Springer DOI 1109
Human action recognition; Negative space; Silhouette; Dynamic Time Warping; Complex activity; Fuzzy function; Computer vision; Region partitioning BibRef

Sreenivasa, M., Soueres, P., Laumond, J.P.,
Walking to Grasp: Modeling of Human Movements as Invariants and an Application to Humanoid Robotics,
SMC-A(42), No. 4, July 2012, pp. 880-893.
IEEE DOI 1206
BibRef

Ma, Z.G., Nie, F., Yang, Y., Uijlings, J.R.R., Sebe, N., Hauptmann, A.G.,
Discriminating Joint Feature Analysis for Multimedia Data Understanding,
MultMed(14), No. 6, 2012, pp. 1662-1672.
IEEE DOI 1212
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Yang, Y., Ma, Z.G., Hauptmann, A.G., Sebe, N.,
Feature Selection for Multimedia Analysis by Sharing Information Among Multiple Tasks,
MultMed(15), No. 3, 2013, pp. 661-669.
IEEE DOI 1303
BibRef

Ma, Z.G., Yang, Y., Sebe, N., Hauptmann, A.G.[Alexander G.],
Knowledge Adaptation with Partially Shared Features for Event Detection Using Few Exemplars,
PAMI(36), No. 9, September 2014, pp. 1789-1802.
IEEE DOI 1408
Detectors BibRef

Chang, X.J.[Xiao-Jun], Ma, Z.G.[Zhi-Gang], Yang, Y.[Yi], Zeng, Z.Q.[Zhi-Qiang], Hauptmann, A.G.[Alexander G.],
Bi-Level Semantic Representation Analysis for Multimedia Event Detection,
Cyber(47), No. 5, May 2017, pp. 1180-1197.
IEEE DOI 1704
Detectors BibRef

Lan, Z.Z.[Zhen-Zhong], Yang, Y.[Yi], Ballas, N.[Nicolas], Yu, S.I.[Shoou-I], Haputmann, A.G.[Alexander G.],
Resource Constrained Multimedia Event Detection,
MMMod14(I: 388-399).
Springer DOI 1405
BibRef

Xu, Z.W.[Zhong-Wen], Yang, Y.[Yi], Hauptmann, A.G.[Alexander G.],
A discriminative CNN video representation for event detection,
CVPR15(1798-1807)
IEEE DOI 1510
BibRef

Ballas, N.[Nicolas], Yang, Y.[Yi], Lan, Z.Z.[Zhen-Zhong], Delezoide, B.[Bertrand], Preteux, F.[Francoise], Hauptmann, A.G.[Alexander G.],
Space-Time Robust Representation for Action Recognition,
ICCV13(2704-2711)
IEEE DOI 1403
WSVM; action recognition; pooling; saliency; sparse regularization BibRef

Wang, S.[Sen], Yang, Y.[Yi], Ma, Z.G.[Zhi-Gang], Li, X.[Xue], Pang, C.Y.[Chao-Yi], Hauptmann, A.G.[Alexander G.],
Action recognition by exploring data distribution and feature correlation,
CVPR12(1370-1377).
IEEE DOI 1208
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Yang, S.Y.[Shu-Yuan], Wang, X.X.[Xiu-Xiu], Yang, L.X.[Li-Xia], Han, Y.[Yue], Jiao, L.C.[Li-Cheng],
Semi-supervised action recognition in video via Labeled Kernel Sparse Coding and sparse L1 graph,
PRL(33), No. 14, 15 October 2012, pp. 1951-1956.
Elsevier DOI 1209
Action recognition; Semi-supervised; Labeled Kernel Sparse Coding; Sparse L1 graph BibRef

Yang, S.Y.[Shu-Yuan], Wang, X.X.[Xiu-Xiu], Wang, M., Han, Y.[Yue], Jiao, L.C.[Li-Cheng],
Semi-supervised low-rank representation graph for pattern recognition,
IET-PR(7), No. 2, 2013, pp. xx-yy.
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Zhao, M.[Miaoyun], Jiao, L.C.[Li-Cheng], Ma, W.P.[Wen-Ping], Liu, H.Y.[Hong-Ying], Yang, S.Y.[Shu-Yuan],
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PR(51), No. 1, 2016, pp. 281-294.
Elsevier DOI 1601
Low rank representation BibRef

Wu, X., Xu, D., Duan, L., Luo, J., Jia, Y.,
Action Recognition Using Multilevel Features and Latent Structural SVM,
CirSysVideo(23), No. 8, 2013, pp. 1422-1431.
IEEE DOI 1308
Context BibRef

Samadani, A.A.[Ali-Akbar], Ghodsi, A.[Ali], Kulic, D.[Dana],
Discriminative functional analysis of human movements,
PRL(34), No. 15, 2013, pp. 1829-1839.
Elsevier DOI 1309
Human movement time-series analysis BibRef

Lin, J.F.S., Karg, M., Kulic, D.,
Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis,
HMS(46), No. 3, June 2016, pp. 325-339.
IEEE DOI 1605
Algorithm design and analysis BibRef

Nga, D.H.[Do Hang], Yanai, K.[Keiji],
Automatic extraction of relevant video shots of specific actions exploiting Web data,
CVIU(118), No. 1, 2014, pp. 2-15.
Elsevier DOI 1312
BibRef
Earlier:
Automatic collection of Web video shots corresponding to specific actions using Web images,
LSVSM12(15-20).
IEEE DOI 1207
BibRef
Earlier:
Automatic construction of an action video shot database using web videos,
ICCV11(527-534).
IEEE DOI 1201
Web video. Based on text tags. BibRef

Ubalde, S.[Sebastián], Goussies, N.A.[Norberto Adrián], Mejail, M.E.,
Efficient descriptor tree growing for fast action recognition,
PRL(36), No. 1, 2014, pp. 213-220.
Elsevier DOI 1312
Action recognition BibRef

Ubalde, S.[Sebastián], Goussies, N.A.[Norberto Adrián],
Fast Non-parametric Action Recognition,
CIARP12(268-275).
Springer DOI 1209
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Cho, J.C.[Jung-Chan], Lee, M.[Minsik], Chang, H.J.[Hyung Jin], Oh, S.H.[Song-Hwai],
Robust action recognition using local motion and group sparsity,
PR(47), No. 5, 2014, pp. 1813-1825.
Elsevier DOI 1402
Action recognition BibRef

Dozza, M., Fernandez, A.,
Understanding Bicycle Dynamics and Cyclist Behavior From Naturalistic Field Data (November 2012),
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IEEE DOI 1403
bicycles BibRef

Hoai, M.[Minh], de la Torre, F.[Fernando],
Max-Margin Early Event Detectors,
IJCV(107), No. 2, April 2014, pp. 191-202.
WWW Link. 1404
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Earlier: CVPR12(2863-2870).
IEEE DOI 1208
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Hoai, M.[Minh], Lan, Z.Z.[Zhen-Zhong], de la Torre, F.[Fernando],
Joint segmentation and classification of human actions in video,
CVPR11(3265-3272).
IEEE DOI 1106
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Taralova, E.[Ekaterina], de la Torre, F.[Fernando], Hebert, M.[Martial],
Source constrained clustering,
ICCV11(1927-1934).
IEEE DOI 1201
Quantizing data from different sources. Cluster actions, not cluster subjects. BibRef

Onofri, L.[Leonardo], Soda, P.[Paolo], Iannello, G.,
Multiple subsequence combination in human action recognition,
IET-CV(8), No. 1, February 2014, pp. 26-34.
DOI Link 1404
BibRef
Earlier: A1, A2, Only:
Combining video subsequences for human action recognition,
ICPR12(597-600).
WWW Link. 1302
computational complexity BibRef

Jiang, X.[Xinbo], Zhong, F.[Fan], Peng, Q.S.[Qun-Sheng], Qin, X.Y.[Xue-Ying],
Online robust action recognition based on a hierarchical model,
VC(30), No. 9, September 2014, pp. 1021-1033.
WWW Link. 1410
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Wang, G.F.[Guo-Feng], Qin, X.Y.[Xue-Ying], Zhong, F.[Fan], Liu, Y.[Yue], Li, H.B.[Hong-Bo], Peng, Q.S.[Qun-Sheng], Yang, M.H.[Ming-Hsuan],
Visual Tracking via Sparse and Local Linear Coding,
IP(24), No. 11, November 2015, pp. 3796-3809.
IEEE DOI 1509
image coding BibRef
Earlier: A1, A3, A4, A6, A2, Only:
Visual Tracking in Continuous Appearance Space via Sparse Coding,
ACCV12(III:57-70).
Springer DOI 1304
See also Visual Tracking via Temporally Smooth Sparse Coding. BibRef

Liu, L.[Li], Shao, L.[Ling], Zheng, F.[Feng], Li, X.L.[Xue-Long],
Realistic action recognition via sparsely-constructed Gaussian processes,
PR(47), No. 12, 2014, pp. 3819-3827.
Elsevier DOI 1410
Action recognition BibRef

Shao, L.[Ling], Liu, L.[Li], Yu, M.Y.[Meng-Yang],
Kernelized Multiview Projection for Robust Action Recognition,
IJCV(118), No. 2, June 2016, pp. 115-129.
Springer DOI 1606
See also Learning Short Binary Codes for Large-scale Image Retrieval. BibRef

Yu, M.Y.[Meng-Yang], Liu, L.[Li], Shao, L.[Ling],
Structure-Preserving Binary Representations for RGB-D Action Recognition,
PAMI(38), No. 8, August 2016, pp. 1651-1664.
IEEE DOI 1608
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Earlier: A2, A1, A3:
Local Feature Binary Coding for Approximate Nearest Neighbor Search,
BMVC15(xx-yy).
DOI Link 1601
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Chan-Hon-Tong, A.[Adrien], Achard, C.[Catherine], Lucat, L.[Laurent],
Simultaneous segmentation and classification of human actions in video streams using deeply optimized Hough transform,
PR(47), No. 12, 2014, pp. 3807-3818.
Elsevier DOI 1410
Human actions BibRef

Wang, F.[Feng], Sun, Z.H.[Zhan-Hu], Jiang, Y.G.[Yu-Gang], Ngo, C.W.[Chong-Wah],
Video Event Detection Using Motion Relativity and Feature Selection,
MultMed(16), No. 5, August 2014, pp. 1303-1315.
IEEE DOI 1410
feature selection BibRef

Jiang, Y.G.[Yu-Gang], Dai, Q.[Qi], Liu, W.[Wei], Xue, X.Y.[Xiang-Yang], Ngo, C.W.[Chong-Wah],
Human Action Recognition in Unconstrained Videos by Explicit Motion Modeling,
IP(24), No. 11, November 2015, pp. 3781-3795.
IEEE DOI 1509
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Earlier: A1, A2, A4, A3, A5:
Trajectory-Based Modeling of Human Actions with Motion Reference Points,
ECCV12(V: 425-438).
Springer DOI 1210
cameras BibRef

Kviatkovsky, I.[Igor], Rivlin, E.[Ehud], Shimshoni, I.[Ilan],
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CVIU(129), No. 1, 2014, pp. 15-26.
Elsevier DOI 1411
Online action recognition BibRef

Kihl, O.[Olivier], Picard, D.[David], Gosselin, P.H.[Philippe-Henri],
A unified framework for local visual descriptors evaluation,
PR(48), No. 4, 2015, pp. 1174-1184.
Elsevier DOI 1502
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Earlier:
A unified formalism for video descriptors,
ICIP13(2416-2419)
IEEE DOI 1402
Image processing and computer vision. action analysis BibRef

Kihl, O.[Olivier], Picard, D.[David], Gosselin, P.H.[Philippe-Henri],
Local polynomial space-time descriptors for action classification,
MVA(27), No. 3, April 2016, pp. 351-361.
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Zhang, H.B.[Hong-Bo], Li, S.Z.[Shao-Zi], Chen, S.Y.[Shu-Yuan], Su, S.Z.[Song-Zhi], Lin, X.M.[Xian-Ming], Cao, D.L.[Dong-Lin],
Locating and recognizing multiple human actions by searching for maximum score subsequences,
SIViP(9), No. 3, March 2015, pp. 705-714.
Springer DOI 1503
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Zhang, H.B.[Hong-Bo], Lei, Q., Chen, D.S., Zhong, B.N., Peng, J., Du, J.X., Su, S.Z.[Song-Zhi],
Probability-based method for boosting human action recognition using scene context,
IET-CV(10), No. 6, 2016, pp. 528-536.
DOI Link 1609
Bayes methods BibRef

Yang, J.F.[Jiang-Feng], Ma, Z.[Zheng],
Action Recognition Using Weighted Locality-Constrained Linear Coding,
IEICE(E98-D), No. 1, February 2015, pp. 462-466.
WWW Link. 1503
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Field, M.[Matthew], Stirling, D.[David], Pan, Z.X.[Zeng-Xi], Ros, M.[Montserrat], Naghdy, F.[Fazel],
Recognizing human motions through mixture modeling of inertial data,
PR(48), No. 8, 2015, pp. 2394-2406.
Elsevier DOI 1505
Human motion BibRef

Zhang, Z.[Zhong], Liu, S.[Shuang], Mei, X.[Xing],
Contextual Max Pooling for Human Action Recognition,
IEICE(E98-D), No. 4, April 2015, pp. 989-993.
WWW Link. 1505
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Faraki, M., Palhang, M., Sanderson, C.,
Log-Euclidean bag of words for human action recognition,
IET-CV(9), No. 3, 2015, pp. 331-339.
DOI Link 1507
covariance matrices BibRef

Chiang, H.F.[Hui-Fen], Hsieh, J.W.[Jun-Wei], Chuang, C.H.[Chi-Hung], Chuang, K.T.[Kai-Ting], Yan, Y.[Yilin],
Modeling and recognizing action contexts in persons using sparse representation,
JVCIR(30), No. 1, 2015, pp. 252-265.
Elsevier DOI 1507
Sparse coding BibRef

Dehghan, A.[Afshin], Oreifej, O.[Omar], Shah, M.[Mubarak],
Complex event recognition using constrained low-rank representation,
IVC(42), No. 1, 2015, pp. 13-21.
Elsevier DOI 1509
Complex event recognition BibRef

Wu, S.D.[Shan-Dong], Oreifej, O.[Omar], Shah, M.[Mubarak],
Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories,
ICCV11(1419-1426).
IEEE DOI 1201
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Maheswari, S., Rani, P.A.J.[P. Arockia Jansi],
RVM-based human action classification through Gabor and Haar feature extraction,
IJCVR(6), No. 1-2, 2016, pp. 54-64.
DOI Link 1601
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Kulkarni, K.[Kuldeep], Turaga, P.K.[Pavan K.],
Reconstruction-Free Action Inference from Compressive Imagers,
PAMI(38), No. 4, April 2016, pp. 772-784.
IEEE DOI 1603
BibRef
Earlier:
Recurrence textures for human activity recognition from compressive cameras,
ICIP12(1417-1420).
IEEE DOI 1302
BibRef

Al-Berry, M.N., Salem, M.A.M., Ebeid, H.M., Hussein, A.S., Tolba, M.F.,
Fusing directional wavelet local binary pattern and moments for human action recognition,
IET-CV(10), No. 2, 2016, pp. 153-162.
DOI Link 1603
computer vision BibRef

Shi, F.[Feng], Laganière, R.[Robert], Petriu, E.[Emil],
Local part model for action recognition,
IVC(46), No. 1, 2016, pp. 18-28.
Elsevier DOI 1603
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And:
Gradient Boundary Histograms for Action Recognition,
WACV15(1107-1114)
IEEE DOI 1503
BibRef
Earlier: A1, A3, A2:
Sampling Strategies for Real-Time Action Recognition,
CVPR13(2595-2602)
IEEE DOI 1309
Accuracy Bag-of-features (BoF) BibRef

Whiten, C.[Chris], Laganiere, R.[Robert], Bilodeau, G.A.[Guillaume-Alexandre],
Efficient Action Recognition with MoFREAK,
CRV13(319-325)
IEEE DOI 1308
Accuracy BibRef

Chen, H.Z.[Hong-Zhao], Wang, G.J.[Gui-Jin], Xue, J.H.[Jing-Hao], He, L.[Li],
A novel hierarchical framework for human action recognition,
PR(55), No. 1, 2016, pp. 148-159.
Elsevier DOI 1604
Action recognition BibRef

Long, Y.[Yang], Zhu, F.[Fan], Shao, L.[Ling],
Recognising occluded multi-view actions using local nearest neighbour embedding,
CVIU(144), No. 1, 2016, pp. 36-45.
Elsevier DOI 1604
Occlusion BibRef

Beaudry, C.[Cyrille], Péteri, R.[Renaud], Mascarilla, L.[Laurent],
An efficient and sparse approach for large scale human action recognition in videos,
MVA(27), No. 4, May 2016, pp. 529-543.
WWW Link. 1605
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Earlier:
Human activity recognition in the semantic simplex of elementary actions,
BMVC15(xx-yy).
DOI Link 1601
BibRef
Earlier:
Action recognition in videos using frequency analysis of critical point trajectories,
ICIP14(1445-1449)
IEEE DOI 1502
Estimation BibRef

Etemad, S.A.[S. Ali], Arya, A.[Ali],
Expert-Driven Perceptual Features for Modeling Style and Affect in Human Motion,
HMS(46), No. 4, August 2016, pp. 534-545.
IEEE DOI 1608
Gaussian processes BibRef

Etemad, S.A., Payeur, P., Arya, A.,
Automatic Temporal Location and Classification of Human Actions Based on Optical Features,
CISP09(1-5).
IEEE DOI 0910
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Roy, D.[Debaditya], Srinivas, M., Mohan, C.K.[C. Krishna],
Sparsity-inducing dictionaries for effective action classification,
PR(59), No. 1, 2016, pp. 55-62.
Elsevier DOI 1609
Action Classification BibRef

Wilson, S., Mohan, C.K.,
Coherent and Noncoherent Dictionaries for Action Recognition,
SPLetters(24), No. 5, May 2017, pp. 698-702.
IEEE DOI 1704
Coherence BibRef

Yuan, Y.[Yuan], Zheng, X.T.[Xiang-Tao], Lu, X.Q.[Xiao-Qiang],
A discriminative representation for human action recognition,
PR(59), No. 1, 2016, pp. 88-97.
Elsevier DOI 1609
Action recognition BibRef

Wang, L.L.[Liang-Liang], Li, R.F.[Rui-Feng], Fang, Y.J.[Ya-Jun],
Gradient-layer feature transform for action detection and recognition,
JVCIR(40, Part A), No. 1, 2016, pp. 159-167.
Elsevier DOI 1609
Action detection BibRef

Wang, L.L.[Liang-Liang], Ge, L.Z.[Lian-Zheng], Li, R.F.[Rui-Feng], Fang, Y.J.[Ya-Jun],
Three-stream CNNs for action recognition,
PRL(92), No. 1, 2017, pp. 33-40.
Elsevier DOI 1705
Action, recognition BibRef

Gan, C.[Chuang], Yang, Y.[Yi], Zhu, L.C.[Lin-Chao], Zhao, D.L.[De-Li], Zhao, D.L.[De-Li], Zhuang, Y.T.[Yue-Ting],
Recognizing an Action Using Its Name: A Knowledge-Based Approach,
IJCV(120), No. 1, October 2016, pp. 61-77.
Springer DOI 1609
BibRef

Zeppelzauer, M.[Matthias], Schopfhauser, D.[Daniel],
Multimodal classification of events in social media,
IVC(53), No. 1, 2016, pp. 45-56.
Elsevier DOI 1610
Social events BibRef

Venkataraman, V.[Vinay], Turaga, P.K.[Pavan K.],
Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference,
PAMI(38), No. 12, December 2016, pp. 2531-2543.
IEEE DOI 1609
Analytical models BibRef

Wang, Q.[Qiao], Anirudh, R.[Rushil], Turaga, P.K.[Pavan K.],
Temporal Reflection Symmetry of Human Actions: A Riemannian Analysis,
DIFF-CV15(xx-yy).
DOI Link 1601
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Anirudh, R.[Rushil], Venkataraman, V.[Vinay], Turaga, P.K.[Pavan K.],
A Generalized Lyapunov Feature for Dynamical Systems on Riemannian Manifolds,
DIFF-CV15(xx-yy).
DOI Link 1601
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Anirudh, R.[Rushil], Turaga, P.K.[Pavan K.], Su, J.Y.[Jing-Yong], Srivastava, A.[Anuj],
Elastic Functional Coding of Riemannian Trajectories,
PAMI(39), No. 5, May 2017, pp. 922-936.
IEEE DOI 1704
BibRef
Earlier:
Elastic functional coding of human actions: From vector-fields to latent variables,
CVPR15(3147-3155)
IEEE DOI 1510
Encoding BibRef

Feng, Q.X.[Qing-Xiang], Zhou, Y.C.[Yi-Cong],
Kernel Regularized Data Uncertainty for Action Recognition,
CirSysVideo(27), No. 3, March 2017, pp. 577-588.
IEEE DOI 1703
Databases. Analyze 4 different classifiers. See also Kernel Combined Sparse Representation for Disease Recognition. BibRef

Herath, S.[Samitha], Harandi, M.[Mehrtash], Porikli, F.M.[Fatih M.],
Going deeper into action recognition: A survey,
IVC(60), No. 1, 2017, pp. 4-21.
Elsevier DOI 1704
Survey, Action Recognition. Human action recognition BibRef

Wang, X., Gao, L., Song, J., Shen, H.,
Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition,
SPLetters(24), No. 4, April 2017, pp. 510-514.
IEEE DOI 1704
Computer architecture BibRef

Guo, Z.Y.[Zhao-Yang], Wang, X.[Xin'an], Wang, B.[Bo], Xie, Z.[Zheng],
A Novel 3D Gradient LBP Descriptor for Action Recognition,
IEICE(E100-D), No. 6, June 2017, pp. 1388-1392.
WWW Link. 1706
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Hilsenbeck, B., Münch, D., Kieritz, H.[Hilke], Hübner, W.[Wolfgang], Arens, M.[Michael],
Hierarchical Hough forests for view-independent action recognition,
ICPR16(1911-1916)
IEEE DOI 1705
Cameras, Detectors, Face recognition, Image sequences, Three-dimensional displays, Training, Vegetation BibRef

Naha, S., Wang, Y.,
Beyond verbs: Understanding actions in videos with text,
ICPR16(1833-1838)
IEEE DOI 1705
Computer vision, Feature extraction, Semantics, Standards, Training, Videos, YouTube BibRef

Tian, Q.[Qing], Arbel, T.[Tal], Clark, J.J.[James J.],
Shannon information based adaptive sampling for action recognition,
ICPR16(967-972)
IEEE DOI 1705
Brain modeling, Detectors, Feature extraction, Histograms, Pattern recognition, Trajectory, Visualization BibRef

Nourbakhsh, F.[Farshad], Granger, E.[Eric], Fumera, G.[Giorgio],
An Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance,
HIS16(III: 360-376).
Springer DOI 1704
BibRef

Mohammadi, E., Wu, Q.M.J.[Q. M. Jonathan], Saif, M.,
Human Action Recognition by Fusing the Outputs of Individual Classifiers,
CRV16(335-341)
IEEE DOI 1612
Action Recognition BibRef

Wang, Y., Hoai, M.[Minh],
Improving Human Action Recognition by Non-action Classification,
CVPR16(2698-2707)
IEEE DOI 1612
BibRef

Ni, B.B.[Bing-Bing], Yang, X.K.[Xiao-Kang], Gao, S.H.[Sheng-Hua],
Progressively Parsing Interactional Objects for Fine Grained Action Detection,
CVPR16(1020-1028)
IEEE DOI 1612
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

Singh, A.[Aditya], Saini, S.[Saurabh], Shah, R.[Rajvi], Narayanan, P.J.,
From Traditional to Modern: Domain Adaptation for Action Classification in Short Social Video Clips,
GCPR16(245-257).
Springer DOI 1611
BibRef

Khelalef, A.[Aziz], Ababsa, F.[Fakhreddine], Benoudjit, N.[Nabil],
A Simple Human Activity Recognition Technique Using DCT,
ACIVS16(37-46).
Springer DOI 1611
BibRef

Lin, B., Fang, B., Yang, W.B.,
L_1-Norm based reconstruction error evaluation for human action recognition,
ICWAPR16(90-95)
IEEE DOI 1611
Detectors BibRef

Saleh, A.[Adel], Abdel-Nasser, M.[Mohamed], Akram, F.[Farhan], Garcia, M.A.[Miguel Angel], Puig, D.[Domenec],
Analysis of Temporal Coherence in Videos for Action Recognition,
ICIAR16(325-332).
Springer DOI 1608
Apply to: See also HMDB: a large human motion database. and See also Hollywood2 Human Actions and Scenes Dataset. BibRef

García-Hernando, G.B.[Gloria Bueno], Chang, H.J., Serrano, I., Deniz Suarez, O.[Oscar], Kim, T.K.,
Transition Hough forest for trajectory-based action recognition,
WACV16(1-8)
IEEE DOI 1606
Cameras BibRef

Kuehne, H.[Hilde], Gall, J.[Juergen], Serre, T.[Thomas],
An end-to-end generative framework for video segmentation and recognition,
WACV16(1-8)
IEEE DOI 1606
Data models BibRef

Liu, T.L.[Tian-Liang], Wang, X.C.[Xin-Cheng], Dai, X.B.[Xiu-Bin], Luo, J.B.[Jie-Bo],
Deep recursive and hierarchical conditional random fields for human action recognition,
WACV16(1-9)
IEEE DOI 1606
Computational modeling BibRef

Abidi, S., Piccardi, M.[Massimo], Williams, M.A.,
Static action recognition by efficient greedy inference,
WACV16(1-8)
IEEE DOI 1606
Detectors BibRef

Zhang, B., Wang, H.,
Encoding scale into fisher vector for human action recognition,
VCIP15(1-4)
IEEE DOI 1605
Computational modeling BibRef

Luo, Y.[Ye], Cheong, L.F.[Loong-Fah], Tran, A.[An],
Actionness-Assisted Recognition of Actions,
ICCV15(3244-3252)
IEEE DOI 1602
Sudden changes, temporal synchrony, and repetitiveness. BibRef

Li, S., Li, K., Fu, Y.,
Temporal Subspace Clustering for Human Motion Segmentation,
ICCV15(4453-4461)
IEEE DOI 1602
Clustering methods BibRef

Soomro, K., Idrees, H.[Haroon], Shah, M.[Mubarak],
Predicting the Where and What of Actors and Actions through Online Action Localization,
CVPR16(2648-2657)
IEEE DOI 1612
BibRef
Earlier:
Action Localization in Videos through Context Walk,
ICCV15(3280-3288)
IEEE DOI 1602
Context BibRef

Liao, W., Rosenhahn, B., Yang, M.Y.,
Video Event Recognition by Combining HDP and Gaussian Process,
MSF15(166-174)
IEEE DOI 1602
Analytical models BibRef

Hao, Z.[Zongbo], Lu, L.L.[Lin-Lin], Zhang, Q.N.[Qian-Ni], Wu, J.[Jie], Izquierdo, E.[Ebroul], Yang, J.Y.[Juan-Yu], Zhao, J.[Jun],
Action Recognition based on Subdivision-Fusion Model,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Ronchi, M.R.[Matteo Ruggero], Perona, P.[Pietro],
Describing Common Human Visual Actions in Images,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Gao, Z., Zhang, Y., Zhang, H., Xu, G.P., Xue, Y.B.,
Reverse Testing Image Set Model Based Multi-view Human Action Recognition,
MMMod16(I: 397-408).
Springer DOI 1601
BibRef

Xu, K.[Kuanhong], Lu, Y.[Ya], Zhang, H.W.[Hong-Wei], Feng, X.T.[Xue-Tao], Kim, W.J.[Won-Jun], Han, J.J.[Jae-Joon],
Combining nonuniform sampling, hybrid super vector, and random forest with discriminative decision trees for action recognition,
ICIP15(3977-3981)
IEEE DOI 1512
Action recognition; nonuniform sampling; random forest; super vector BibRef

Miao, J.[Jie], Xu, X.M.[Xiang-Min], Mathew, R.[Reji], Huang, H.[Haoyu],
Residue boundary histograms for action recognition in the compressed domain,
ICIP15(2825-2829)
IEEE DOI 1512
Compressed domain; action recognition; feature extraction BibRef

Cai, D.Q.[Dong-Qi], Su, F.[Fei],
Deep CCA based super vector for action recognition,
ICIP15(1945-1949)
IEEE DOI 1512
Action recognition BibRef

Wang, D.[Dan], Shao, Q.[Qing], Li, X.Q.[Xiao-Qiang],
A new unsupervised model of action recognition,
ICIP15(1160-1164)
IEEE DOI 1512
Action recognition; K-Means; unsupervised feature; updated BoF model BibRef

Foggia, P.[Pasquale], Gauzere, B.[Benoit], Saggese, A.[Alessia], Vento, M.[Mario],
Human action recognition using an improved string edit distance,
AVSS15(1-6)
IEEE DOI 1511
Accuracy BibRef

Páez, F.[Fabián], González, F.A.[Fabio A.],
Annotating and Retrieving Videos of Human Actions Using Matrix Factorization,
CIARP15(743-750).
Springer DOI 1511
BibRef

Xiong, Y.J.[Yuan-Jun], Zhu, K.[Kai], Lin, D.[Dahua], Tang, X.[Xiaoou],
Recognize complex events from static images by fusing deep channels,
CVPR15(1600-1609)
IEEE DOI 1510
BibRef

Lu, J.[Jiasen], Xu, R.[Ran], Corso, J.J.[Jason J.],
Human action segmentation with hierarchical supervoxel consistency,
CVPR15(3762-3771)
IEEE DOI 1510
BibRef

Lan, Z.Z.[Zhen-Zhong], Lin, M.[Ming], Li, X.C.[Xuan-Chong], Hauptmann, A.G.[Alexander G.], Raj, B.[Bhiksha],
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition,
CVPR15(204-212)
IEEE DOI 1510
BibRef

Kim, Y.[Yelin], Chen, J.X.[Ji-Xu], Chang, M.C.[Ming-Ching], Wang, X.[Xin], Provost, E.M., Lyu, S.W.[Si-Wei],
Modeling transition patterns between events for temporal human action segmentation and classification,
FG15(1-8)
IEEE DOI 1508
dynamic programming BibRef

Xing, D.[Dong], Wang, X.Z.[Xian-Zhong], Lu, H.T.[Hong-Tao],
Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encoding,
Gait14(I: 99-112).
Springer DOI 1504
BibRef

Escorcia, V.[Victor], Heilbron, F.C.[Fabian Caba], Niebles, J.C.[Juan Carlos], Ghanem, B.[Bernard],
DAPs: Deep Action Proposals for Action Understanding,
ECCV16(III: 768-784).
Springer DOI 1611
BibRef

Heilbron, F.C.[Fabian Caba], Thabet, A.[Ali], Niebles, J.C.[Juan Carlos], Ghanem, B.[Bernard],
Camera Motion and Surrounding Scene Appearance as Context for Action Recognition,
ACCV14(IV: 583-597).
Springer DOI 1504
BibRef

Shu, Z.X.[Zhi-Xin], Yun, K.[Kiwon], Samaras, D.[Dimitris],
Action Detection with Improved Dense Trajectories and Sliding Window,
ChaLearn14(541-551).
Springer DOI 1504
BibRef

Garcia, C.[Cecilia], Bazin, J.C.[Jean-Charles], Lancelle, M.[Marcel], Gross, M.[Markus],
Automatic jumping photos on smartphones,
ICIP14(2522-2526)
IEEE DOI 1502
Cameras. Recognize when the person will reach the top of the jump and then take the picture. BibRef

Wang, L.[Ling], Sahbi, H.[Hichem],
Bags-of-daglets for action recognition,
ICIP14(1550-1554)
IEEE DOI 1502
Accuracy BibRef

Liu, Y.[Yi], Qin, L.[Lei], Cheng, Z.W.[Zhong-Wei], Zhang, Y.H.[Yan-Hao], Zhang, W.G.[Wei-Gang], Huang, Q.M.[Qing-Ming],
DA-CCD: A novel action representation by Deep Architecture of local depth feature,
ICIP14(833-837)
IEEE DOI 1502
Charge coupled devices BibRef

Ahsan, S.M.M.[S.M. Masudul], Tan, J.K.[Joo Kooi], Kim, H.[Hyoungseop], Ishikawa, S.[Seiji],
Histogram of DMHI and LBP images to represent human actions,
ICIP14(1440-1444)
IEEE DOI 1502
DMHI; Histogram; LBP; MHI; SVM BibRef

Liu, W.F.[Wei-Feng], Wang, Z.[Zhen], Tao, D.P.[Da-Peng], Yu, J.[Jun],
Hessian Regularized Sparse Coding for Human Action Recognition,
MMMod15(II: 502-511).
Springer DOI 1501
BibRef

Orrite-Urunuela, C.[Carlos], Rodriguez, M.[Mario], Herrero, E.[Elias], Rogez, G.[Gregory], Velastin, S.A.[Sergio A.],
Automatic Segmentation and Recognition of Human Actions in Monocular Sequences,
ICPR14(4218-4223)
IEEE DOI 1412
Cameras BibRef

Ouyed, O.[Ouiza], Allili, M.S.[Mohand Said],
Feature Relevance for Kernel Logistic Regression and Application to Action Classification,
ICPR14(1325-1329)
IEEE DOI 1412
Accuracy BibRef

Bagheri, M.A.[Mohammad Ali], Hu, G.[Gang], Gao, Q.G.[Qi-Gang], Escalera, S.[Sergio],
A Framework of Multi-classifier Fusion for Human Action Recognition,
ICPR14(1260-1265)
IEEE DOI 1412
Accuracy BibRef

Hernández-García, R.[Ruber], García-Reyes, E.B.[Edel B.], Ramos-Cózar, J.[Julián], Guil, N.[Nicolás],
Human Action Classification Using N-Grams Visual Vocabulary,
CIARP14(319-326).
Springer DOI 1411
BibRef

Karaman, S.[Svebor], Seidenari, L.[Lorenzo], Ma, S.[Shugao], del Bimbo, A.[Alberto], Sclaroff, S.[Stan],
Adaptive Structured Pooling for Action Recognition,
BMVC14(xx-yy).
HTML Version. 1410
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Baumann, F.[Florian], Schulz, I.[Irina], Baumann, F.[Florian], Ehlers, A., Rosenhahn, B.[Bodo], Liao, J.[Jie],
Computation strategies for volume local binary patterns applied to action recognition,
AVSS14(68-73)
IEEE DOI 1411
Accuracy BibRef

Rosenhahn, B.[Bodo],
Multi-sensor Acceleration-Based Action Recognition,
ICIAR14(II: 48-57).
Springer DOI 1410
BibRef

Chen, W.[Wei], Corso, J.J.[Jason J.],
Action Detection by Implicit Intentional Motion Clustering,
ICCV15(3298-3306)
IEEE DOI 1602
Benchmark testing BibRef

Chen, W.[Wei], Xiong, C.M.[Cai-Ming], Xu, R.[Ran], Corso, J.J.[Jason J.],
Actionness Ranking with Lattice Conditional Ordinal Random Fields,
CVPR14(748-755)
IEEE DOI 1409
What is action, how is action different from motion? BibRef

Jain, M.[Mihir], van Gemert, J.C.[Jan C.], Snoek, C.G.M.[Cees G.M.],
What do 15,000 object categories tell us about classifying and localizing actions?,
CVPR15(46-55)
IEEE DOI 1510
BibRef

Mettes, P.[Pascal], van Gemert, J.C.[Jan C.], Snoek, C.G.M.[Cees G. M.],
Spot On: Action Localization from Pointly-Supervised Proposals,
ECCV16(V: 437-453).
Springer DOI 1611
BibRef

van Gemert, J.C.[Jan C.], Jain, M.[Mihir], Gati, E.[Ella], Snoek, C.G.M.[Cees G.M.],
APT: Action localization proposals from dense trajectories,
BMVC15(xx-yy).
DOI Link 1601
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Jain, M.[Mihir], van Gemert, J.C.[Jan C.], Mensink, T.[Thomas], Snoek, C.G.M.[Cees G.M.],
Objects2action: Classifying and Localizing Actions without Any Video Example,
ICCV15(4588-4596)
IEEE DOI 1602
Computational modeling BibRef

Jain, M.[Mihir], van Gemert, J.C.[Jan C.], Jegou, H.[Herve], Bouthemy, P.[Patrick], Snoek, C.G.M.[Cees G.M.],
Action Localization with Tubelets from Motion,
CVPR14(740-747)
IEEE DOI 1409
determine when and where certain actions appear. BibRef

Sun, C.[Chuan], Tappen, M.[Marshall], Foroosh, H.[Hassan],
Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking,
CVPR14(2689-2696)
IEEE DOI 1409
BibRef

Kuehne, H.[Hilde], Arslan, A.[Ali], Serre, T.[Thomas],
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities,
CVPR14(780-787)
IEEE DOI 1409
BibRef

Ciptadi, A.[Arridhana], Goodwin, M.S.[Matthew S.], Rehg, J.M.[James M.],
Movement Pattern Histogram for Action Recognition and Retrieval,
ECCV14(II: 695-710).
Springer DOI 1408
BibRef

Imtiaz, H., Mahbub, U., Schaefer, G., Ahad, M.A.R.,
A Multi-resolution Action Recognition Algorithm Using Wavelet Domain Features,
ACPR13(537-541)
IEEE DOI 1408
discrete wavelet transforms BibRef

Hara, K., Hirayama, T., Mase, K.,
Simultaneous Action Recognition and Localization Based on Multi-view Hough Voting,
ACPR13(616-620)
IEEE DOI 1408
Hough transforms BibRef

Wang, L.[Lei], Zhao, Y.[Yanna], Zhao, X.[Xu], Liu, Y.C.[Yun-Cai],
Action Recognition Based on Binary Latent Variable Models,
ACPR13(206-209)
IEEE DOI 1408
image sensors BibRef

Lo, S.L.[Sio-Long], Tsoi, A.C.[Ah-Chung],
Motion Boundary Trajectory for Human Action Recognition,
Gait14(I: 85-98).
Springer DOI 1504
BibRef
Earlier:
Human Action Recognition: A Dense Trajectory and Similarity Constrained Latent Support Vector Machine Approach,
ACPR13(230-235)
IEEE DOI 1408
image classification BibRef

De Geest, R.[Roeland], Gavves, E.[Efstratios], Ghodrati, A.[Amir], Li, Z.Y.[Zhen-Yang], Snoek, C.G.M.[Cees G.M.], Tuytelaars, T.[Tinne],
Online Action Detection,
ECCV16(V: 269-284).
Springer DOI 1611
BibRef

Ghodrati, A.[Amir], Pedersoli, M.[Marco], Tuytelaars, T.[Tinne],
Is 2D Information Enough For Viewpoint Estimation?,
BMVC14(xx-yy).
HTML Version. 1410
See also Elastic Deformation Field Model for Object Detection and Tracking, An. BibRef

Ghodrati, A.[Amir], Pedersoli, M.[Marco], Tuytelaars, T.[Tinne],
Coupling video segmentation and action recognition,
WACV14(618-625)
IEEE DOI 1406
BibRef

Sharir, G.[Gilad], Tuytelaars, T.[Tinne],
Action in chains: A chains model for action localization and classification,
WACV14(610-617)
IEEE DOI 1406
Computational modeling BibRef

Chua, T.W.[Teck Wee], Leman, K.[Karianto],
A Novel Human Action Representation via Convolution of Shape-Motion Histograms,
MMMod14(I: 98-108).
Springer DOI 1405
BibRef

Fu, X.P.[Xi-Ping], McCane, B., Albert, M., Mills, S.,
Action recognition based on principal geodesic analysis,
IVCNZ13(259-264)
IEEE DOI 1402
differential geometry BibRef

Zhang, H.B.[Hong-Bo], Su, S.Z.[Song-Zhi], Li, S.Z.[Shao-Zi], Chen, D.S.[Duan-Sheng], Zhong, B.N.[Bi-Neng], Ji, R.R.[Rong-Rong],
Seeing actions through scene context,
VCIP13(1-6)
IEEE DOI 1402
Bayes methods BibRef

Chen, Y.B.[Yuan-Bo], Zhao, Y.Y.[Yan-Yun], Zhuang, B.J.[Bo-Jin], Cai, A.[Anni],
Discriminative multi-modality non-negative sparse graph model for action recognition,
VCIP14(53-56)
IEEE DOI 1504
graph theory BibRef

Chen, Y.B.[Yuan-Bo], Zhao, Y.Y.[Yan-Yun], Cai, A.[Anni],
Recognizing human actions based on Sparse Coding with Non-negative and Locality constraints,
VCIP13(1-6)
IEEE DOI 1402
convex programming BibRef

Tom, M., Babu, R.V.,
Fast moving-object detection in H.264/AVC compressed domain for video surveillance,
NCVPRIPG13(1-4)
IEEE DOI 1408
BibRef
And:
Rapid human action recognition in H.264/AVC compressed domain for video surveillance,
VCIP13(1-6)
IEEE DOI 1402
data compression. decoding BibRef

Wei, P.[Ping], Zheng, N.N.[Nan-Ning], Zhao, Y.B.[Yi-Biao], Zhu, S.C.[Song-Chun],
Concurrent Action Detection with Structural Prediction,
ICCV13(3136-3143)
IEEE DOI 1403
multiple actions at one time. BibRef

Jhuang, H.H.[Huei-Han], Gall, J.[Juergen], Zuffi, S.[Silvia], Schmid, C.[Cordelia], Black, M.J.[Michael J.],
Towards Understanding Action Recognition,
ICCV13(3192-3199)
IEEE DOI 1403
JHMDB BibRef

Nguyen, T.P.[Thanh Phuong], Manzanera, A.[Antoine],
Action recognition using bag of features extracted from a beam of trajectories,
ICIP13(4354-4357)
IEEE DOI 1402
action recognition BibRef

Pei, L.S.[Li-Shen], Ye, M.[Mao], Xu, P.[Pei], Zhao, X.Z.[Xue-Zhuan], Li, T.[Tao],
Multi-class action recognition based on inverted index of action states,
ICIP13(3562-3566)
IEEE DOI 1402
Action Recognition Inverted Index BibRef

Tavenard, R.[Romain], Emonet, R.[Remi], Odobez, J.M.[Jean-Marc],
Time-sensitive topic models for action recognition in videos,
ICIP13(2988-2992)
IEEE DOI 1402
BibRef

Cai, J.X.[Jia-Xin], Feng, G.C.[Guo-Can], Tang, X.[Xin],
Human action recognition using oriented holistic feature,
ICIP13(2420-2424)
IEEE DOI 1402
Action recognition; Naive Bayes classifier; Pixel change history BibRef

Ren, H.M.[Hua-Min], Moeslund, T.B.[Thomas B.],
Action recognition using salient neighboring histograms,
ICIP13(2807-2811)
IEEE DOI 1402
Salient visual words; action recognition; neighboring histograms BibRef

Šimberová, S.[Stanislava], Suk, T.[Tomáš],
Analysis of Dynamic Processes by Statistical Moments of High Orders,
CIARP13(I:33-40).
Springer DOI 1311
moments in time and space. BibRef

Chan-Hon-Tong, A.[Adrien], Achard, C.[Catherine],
Deeply Optimized Hough Transform: Application to Action Segmentation,
CIAP13(I:51-60).
Springer DOI 1311
BibRef

Nguyen, T.P.[Thanh Phuong], Manzanera, A.[Antoine],
Incorporating Two First Order Moments into LBP-Based Operator for Texture Categorization,
RoLoD14(527-540).
Springer DOI 1504
BibRef

Nguyen, T.P.[Thanh Phuong], Manzanera, A.[Antoine], Vu, N.S.[Ngoc-Son], Garrigues, M.[Matthieu],
Revisiting LBP-Based Texture Models for Human Action Recognition,
CIARP13(II:286-293).
Springer DOI 1311
BibRef

Yang, Y.Z.[Ye-Zhou], Fermuller, C.[Cornelia], Aloimonos, Y.[Yiannis],
Detection of Manipulation Action Consequences (MAC),
CVPR13(2563-2570)
IEEE DOI 1309
BibRef

Jain, M.[Mihir], Jegou, H.[Herve], Bouthemy, P.[Patrick],
Better Exploiting Motion for Better Action Recognition,
CVPR13(2555-2562)
IEEE DOI 1309
VLAD BibRef

Datas, A., Chiron, P., Fourquet, J.,
A singular value approach for humanoid motion analysis and simulation,
ICARCV12(1551-1557).
IEEE DOI 1304
BibRef

Nagendar, G., Bandiatmakuri, S.G.[Sai Ganesh], Tandarpally, M.G.[Mahesh Goud], Jawahar, C.V.,
Action Recognition Using Canonical Correlation Kernels,
ACCV12(III:479-492).
Springer DOI 1304
BibRef

Sun, Q.R.[Qian-Ru], Liu, H.[Hong],
Inferring Ongoing Human Activities Based on Recurrent Self-Organizing Map Trajectory,
BMVC13(xx-yy).
DOI Link 1402
BibRef
Earlier:
Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram,
ACCV12(III:425-437).
Springer DOI 1304
BibRef

Xu, Z.[Zhen], Qing, L.Y.[Lai-Yun], Miao, J.[Jun],
Activity Auto-Completion: Predicting Human Activities from Partial Videos,
ICCV15(3191-3199)
IEEE DOI 1602
Detectors BibRef

Meng, L.X.[Ling-Xun], Qing, L.Y.[Lai-Yun], Yang, P.[Peng], Miao, J.[Jun], Chen, X.L.[Xi-Lin], Metaxas, D.N.[Dimitris N.],
Activity recognition based on semantic spatial relation,
ICPR12(609-612).
WWW Link. 1302
BibRef

Cao, X.Q.[Xiao-Qin], Liu, Z.Q.[Zhi-Qiang],
Type-2 fuzzy labeled latent Dirichlet allocation for human action categorization,
ICPR12(1338-1341).
WWW Link. 1302
BibRef

Chen, L.C.[Li-Chih], Hsieh, J.W.[Jun-Wei], Chuang, C.H.[Chi-Hung], Huang, C.Y.[Chang-Yu], Chen, D.Y.,
Occluded human action analysis using dynamic manifold model,
ICPR12(1245-1248).
WWW Link. 1302
BibRef

Sadek, S.[Samy], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd], Sayed, U.[Usama],
Human action recognition via affine moment invariants,
ICPR12(218-221).
WWW Link. 1302
BibRef

Tabia, H.[Hedi], Gouiffes, M.[Michele], Lacassagne, L.[Lionel],
Motion histogram quantification for human action recognition,
ICPR12(2404-2407).
WWW Link. 1302
BibRef

Atmosukarto, I.[Indriyati], Ahuja, N.[Narendra], Ghanem, B.[Bernard],
Action Recognition Using Discriminative Structured Trajectory Groups,
WACV15(899-906)
IEEE DOI 1503
Accuracy BibRef
Earlier: A1, A3, A2:
Trajectory-based Fisher kernel representation for action recognition in videos,
ICPR12(3333-3336).
WWW Link. 1302
BibRef

Gao, Z.[Zan], Liu, A.A.[An-An], Zhang, H.[Hua], Xu, G.P.[Guang-Ping], Xue, Y.B.[Yan-Bing],
Human action recognition based on sparse representation induced by L1/L2 regulations,
ICPR12(1868-1871).
WWW Link. 1302
BibRef

Lu, G.L.[Guo-Liang], Kudo, M.[Mineichi], Toyama, J.[Jun],
Action recognition via sparse representation of characteristic frames,
ICPR12(3268-3271).
WWW Link. 1302
BibRef

Lin, S.Y.[Shih-Yao], Shie, C.K.[Chuen-Kai], Chen, S.C.[Shen-Chi], Lee, M.S.[Ming-Sui], Hung, Y.P.[Yi-Ping],
Human action recognition using Action Trait Code,
ICPR12(3456-3459).
WWW Link. 1302
BibRef

Yi, S.[Saehoon], Pavlovic, V.[Vladimir],
Sparse Granger causality graphs for human action classification,
ICPR12(3374-3377).
WWW Link. 1302
BibRef

Perez, E.A.[Eder A.], Mota, V.F.[Virginia F.], Maciel, L.M.[Luiz Maurilio], Sad, D.[Dhiego], Vieira, M.B.[Marcelo B.],
Combining gradient histograms using orientation tensors for human action recognition,
ICPR12(3460-3463).
WWW Link. 1302
BibRef

Zhang, X.[Xu], Miao, Z.J.[Zhen-Jiang], Wan, L.[Lili],
Human action categories using motion descriptors,
ICIP12(1381-1384).
IEEE DOI 1302
BibRef

Ashraf, N.[Nazim], Foroosh, H.[Hassan],
Human action recognition in video data using invariant characteristic vectors,
ICIP12(1385-1388).
IEEE DOI 1302
BibRef

Vig, E.[Eleonora], Dorr, M.[Michael], Cox, D.D.[David D.],
Saliency-based selection of sparse descriptors for action recognition,
ICIP12(1405-1408).
IEEE DOI 1302
BibRef

Lin, C.A.[Chin-An], Lin, Y.Y.[Yen-Yu], Liao, H.Y.M.[Hong-Yuan Mark], Jeng, S.K.[Shyh-Kang],
Action recognition using instance-specific and class-consistent cues,
ICIP12(1373-1376).
IEEE DOI 1302
BibRef

Amiri, S.M.[S. Mohsen], Nasiopoulos, P.[Panos], Leung, V.C.M.[Victor C.M.],
Non-negative sparse coding for human action recognition,
ICIP12(1421-1424).
IEEE DOI 1302
BibRef

Ullah, M.M.[Muhammad Muneeb], Laptev, I.[Ivan],
Actlets: A novel local representation for human action recognition in video,
ICIP12(777-780).
IEEE DOI 1302
BibRef

Roomi, S.M.M.[S. Mohamed Mansoor], Saranya, S.R., Banu, S.N.[S. Nashrin],
Human action classification in partitioned feature space,
IMVIP12(21-24).
IEEE DOI 1302
BibRef

Natarajan, P.[Pradeep], Wu, S.[Shuang], Vitaladevuni, S.[Shiv], Zhuang, X.D.[Xiao-Dan], Tsakalidis, S.[Stavros], Park, U.S.[Un-Sang], Prasad, R.[Rohit], Natarajan, P.[Premkumar],
Multimodal feature fusion for robust event detection in web videos,
CVPR12(1298-1305).
IEEE DOI 1208
BibRef

Duan, L.X.[Li-Xin], Xu, D.[Dong], Chang, S.F.[Shih-Fu],
Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach,
CVPR12(1338-1345).
IEEE DOI 1208
BibRef

Kumari, S., Mitra, S.K.,
Human Action Recognition Using DFT,
NCVPRIPG11(239-242).
IEEE DOI 1205
BibRef

Shan, Y.[Yanhu], Wang, S.[Shiquan], Zhang, Z.[Zhang], Huang, K.Q.[Kai-Qi],
An X-T slice based method for action recognition,
VS11(1897-1903).
IEEE DOI 1201
BibRef

Masood, S.Z.[Syed Zain], Nagaraja, A.[Adarsh], Khan, N.[Nazar], Zhu, J.[Jiejie], Tappen, M.F.[Marshall F.],
Correcting cuboid corruption for action recognition in complex environment,
VECTaR11(1540-1547).
IEEE DOI 1201
BibRef

Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.,
HMDB: A large video database for human motion recognition,
ICCV11(2556-2563).
IEEE DOI 1201
Dataset, Action Recognition. The internet has billions of videos, most recognition datasets have a dozen. The dataset itself: See also HMDB: a large human motion database. BibRef

Sorschag, R.[Robert], Horhan, M.[Markus],
Action scene detection from motion and events,
ICIP11(3641-3644).
IEEE DOI 1201
BibRef

Ramadan, S.[Samah], Davis, L.S.[Larry S.],
Action recognition using Partial Least Squares and Support Vector Machines,
ICIP11(533-536).
IEEE DOI 1201
BibRef

Lo, Y.C.[Yung-Chi], Lee, P.Y.[Po-Yen], Cheng, S.C.[Shyi-Chyi],
Space-time template matching for human action detection using volume-based Generalized Hough transform,
ICIP11(2097-2100).
IEEE DOI 1201
BibRef

Hsieh, C.Y.[Chung-Yang], Lin, W.Y.[Wei-Yang],
Effective fusing the factored matrices in dual tensors for action recognition,
MVA15(386-389)
IEEE DOI 1507
Computer vision BibRef

Hsu, F.S.[Fu-Song], Lin, C.H.[Cheng-Hsien], Lin, W.Y.[Wei-Yang],
Recognizing human actions using curvature estimation and NWFE-based histogram vectors,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Kamal, A.T.[Ahmed Tashrif], Song, B.[Bi], Roy-Chowdhury, A.K.[Amit K.],
Belief consensus for distributed action recognition,
ICIP11(141-144).
IEEE DOI 1201
BibRef

Sharma, B.[Bishwajit], Venkatesh, K.S., Mukerjee, A.[Amitabha],
Fourier shape-frequency words for actions,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

González, A.[Ana], Hortas, M.O.[Marcos Ortega], Penedo, M.G.[Manuel G.],
Fully Automatic Methodology for Human Action Recognition Incorporating Dynamic Information,
CIARP11(173-180).
Springer DOI 1111
BibRef

Xie, Y.L.[Yue-Lei], Chang, H.[Hong], Li, Z.[Zhe], Liang, L.H.[Lu-Hong], Chen, X.L.[Xi-Lin], Zhao, D.B.[De-Bin],
A unified framework for locating and recognizing human actions,
CVPR11(25-32).
IEEE DOI 1106
BibRef

Ziaeefard, M.[Maryam], Ebrahimnezhad, H.[Hossein],
Hierarchical Human Action Recognition by Normalized-Polar Histogram,
ICPR10(3720-3723).
IEEE DOI 1008
BibRef

Liu, J.[Jia], Yang, J.[Jie], Zhang, Y.[Yi], He, X.J.[Xiang-Jian],
Action Recognition by Multiple Features and Hyper-Sphere Multi-class SVM,
ICPR10(3744-3747).
IEEE DOI 1008
BibRef

Ta, A.P.[Anh-Phuong], Wolf, C.[Christian], Lavoue, G.[Guillaume], Baskurt, A.[Atilla], Jolion, J.M.[Jean-Michel],
Pairwise Features for Human Action Recognition,
ICPR10(3224-3227).
IEEE DOI 1008
BibRef
And: A1, A2, A3, A4, Only:
Recognizing and Localizing Individual Activities through Graph Matching,
AVSS10(196-203).
IEEE DOI 1009
BibRef

Krausz, B.[Barbara], Bauckhage, C.[Christian],
Action Recognition in Videos Using Nonnegative Tensor Factorization,
ICPR10(1763-1766).
IEEE DOI 1008
BibRef

Liu, Q.G.[Qi-Guang], Cao, X.C.[Xiao-Chun],
Action Recognition Using Subtensor Constraint,
ECCV12(III: 764-777).
Springer DOI 1210
BibRef

Kiani, H.[Hamed], Sim, T.[Terence], Lucey, S.[Simon],
Multi-channel correlation filters for human action recognition,
ICIP14(1485-1489)
IEEE DOI 1502
Correlation BibRef

Ali, S.[Saad], Lucey, S.[Simon],
Are Correlation Filters Useful for Human Action Recognition?,
ICPR10(2608-2611).
IEEE DOI 1008
BibRef

Satkin, S.[Scott], Hebert, M.[Martial],
Modeling the Temporal Extent of Actions,
ECCV10(I: 536-548).
Springer DOI 1009
BibRef

Naiel, M.A.[Mohamed A.], Abdelwahab, M.M.[Moataz M.], El-Saban, M.[Motaz],
Multi-view human action recognition system employing 2DPCA,
WACV11(270-275).
IEEE DOI 1101
BibRef

Monti, F.[Francesco], Regazzoni, C.S.[Carlo S.],
Human action recognition using the motion of interest points,
ICIP10(709-712).
IEEE DOI 1009
BibRef

Rani, A., Kumar, S., Micheloni, C., Foresti, G.L.,
Human Action Recognition using a Hybrid NTLD Classifier,
AVSS10(262-269).
IEEE DOI 1009
BibRef

Lai, K.T.[Kuan-Ting], Chen, M.S.[Ming-Syan], Hsieh, C.H.[Chaur-Heh], Lai, M.F.[Mao-Fu],
Orientation histogram of SIFT displacement for recognizing actions in broadcast videos,
EUVIP11(286-291).
IEEE DOI 1110
BibRef
Earlier: A1, A3, A4, A2:
Human Action Recognition Using Key Points Displacement,
ICISP10(439-447).
Springer DOI 1006
BibRef

Ariki, Y.[Yasuo], Tonaru, T.[Takuya], Takiguchi, T.[Tetsuya],
Human Action Recognition Using HDP by Integrating Motion and Location Information,
ACCV09(II: 291-300).
Springer DOI 0909
BibRef

Vezzani, R.[Roberto], Baltieri, D.[Davide], Cucchiara, R.[Rita],
HMM Based Action Recognition with Projection Histogram Features,
ICPR-Contests10(286-293).
Springer DOI 1008
BibRef

Vezzani, R., Piccardi, M., Cucchiara, R.,
An efficient Bayesian framework for on-line action recognition,
ICIP09(3553-3556).
IEEE DOI 0911
BibRef

Dhillon, P.S.[Paramveer S.], Nowozin, S.[Sebastian], Lampert, C.H.[Christoph H.],
Combining appearance and motion for human action classification in videos,
VCL-ViSU09(22-29).
IEEE DOI 0906
BibRef

Bojanowski, P.[Piotr], Lajugie, R.[Rémi], Bach, F.[Francis], Laptev, I.[Ivan], Ponce, J.[Jean], Schmid, C.[Cordelia], Sivic, J.[Josef],
Weakly Supervised Action Labeling in Videos under Ordering Constraints,
ECCV14(V: 628-643).
Springer DOI 1408
BibRef

Bojanowski, P., Bach, F., Laptev, I., Ponce, J., Schmid, C., Sivic, J.,
Finding Actors and Actions in Movies,
ICCV13(2280-2287)
IEEE DOI 1403
BibRef

Duchenne, O.[Olivier], Laptev, I.[Ivan], Sivic, J.[Josef], Bach, F.[Francis], Ponce, J.[Jean],
Automatic Annotation of Human Actions in Video,
ICCV09(1491-1498).
IEEE DOI 0909
BibRef

Wolf, L.B.[Lior B.], Hanani, Y.[Yair], Hassner, T.[Tal],
A Piggyback Representation for Action Recognition,
DeepLearn14(520-525)
IEEE DOI 1409
BibRef

Kliper-Gross, O.[Orit], Gurovich, Y.[Yaron], Hassner, T.[Tal], Wolf, L.B.[Lior B.],
Motion Interchange Patterns for Action Recognition in Unconstrained Videos,
ECCV12(VI: 256-269).
Springer DOI 1210
BibRef

Yeffet, L.[Lahav], Wolf, L.B.[Lior B.],
Local Trinary Patterns for human action recognition,
ICCV09(492-497).
IEEE DOI 0909
BibRef

Huang, W.[Wei], Wu, Q.M.J.[Q.M. Jonathan],
Human action recognition using Recursive Self Organizing map and longest common subsequence matching,
WACV09(1-6).
IEEE DOI 0912
BibRef

Dondera, R.[Radu], Doermann, D.S.[David S.], Davis, L.S.[Larry S.],
Action recognition based on human movement characteristics,
WMVC09(1-8).
IEEE DOI 0912
BibRef

Du, C.H.[Chun-Hua], Wu, Q.A.[Qi-Ang], Yang, J.[Jie], He, X.J.[Xiang-Jian], Chen, Y.[Yan],
Subspace Analysis Methods plus Motion History Image for Human Action Recognition,
DICTA08(606-611).
IEEE DOI 0812
BibRef

Mimura, Y.[Yuta], Hotta, K.[Kazuhiro], Takahashi, H.[Haruhisa],
Action Recognition Based on Non-parametric Probability Density Function Estimation,
ISVC09(II: 489-498).
Springer DOI 0911
BibRef

Cohen, C.J.,
A control theoretic method for categorizing visual imagery as human motion behaviors,
AIPR05(184-191).
IEEE DOI 0510
BibRef

Sun, X.H.[Xing-Hua], Chen, M.Y.[Ming-Yu], Hauptmann, A.G.[Alexander G.],
Action recognition via local descriptors and holistic features,
CVPR4HB09(58-65).
IEEE DOI 0906
BibRef

Poppe, R.[Ronald], Poel, M.[Mannes],
Discriminative human action recognition using pairwise CSP classifiers,
FG08(1-6).
IEEE DOI 0809
BibRef

Hsiao, P.C.[Pei-Chi], Chen, C.S.[Chu-Song], Chang, L.W.[Long-Wen],
Human action recognition using temporal-state shape contexts,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Salgian, A.[Andrea],
Commentary Paper on 'Recognizing Shapes in Video Sequences Using Multi-class Boosting',
AVSBS08(75-76).
IEEE DOI 0809
See also Recognizing Shapes in Video Sequences Using Multi-class Boosting. BibRef

Schindler, K.[Konrad], Van Gool, L.J.[Luc J.],
Action snippets: How many frames does human action recognition require?,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Hochuli, A.G., Oliveira, L.E.S., Britto, A.S., Koerich, A.L.,
Detection and Classification of Human Movements in Video Scenes,
PSIVT07(678-691).
Springer DOI 0712
BibRef

Malik, J.[Jitendra],
Recognition and synthesis of human actions from video,
VMV04(189). 0411
BibRef

Danafar, S.[Somayeh], Gheissari, N.[Niloofar],
Action Recognition for Surveillance Applications Using Optic Flow and SVM,
ACCV07(II: 457-466).
Springer DOI 0711
BibRef

Cho, K.[Kyungeun], Cho, H.J.[Hyung-Je], Um, K.[Kyhyun],
Inferring Stochastic Regular Grammar with Nearness Information for Human Action Recognition,
ICIAR06(II: 193-204).
Springer DOI 0610
BibRef

Chen, H.S.[Hsuan-Sheng], Chen, H.T.[Hua-Tsung], Chen, Y.W.[Yi-Wen], Lee, S.Y.[Suh-Yin],
Human action recognition using star skeleton,
VSSN06(171-178).
WWW Link. 0701
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Mitani, M.[Masakatsu], Takaya, M.[Mamoru], Kojima, A.[Atsuhiro], Fukunaga, K.[Kunio],
Environment Recognition Based on Analysis of Human Actions for Mobile Robot,
ICPR06(IV: 782-786).
IEEE DOI 0609
BibRef

Cuntoor, N.P.[Naresh P.], Welborn, M.[Matt],
Recognizing Shapes in Video Sequences Using Multi-class Boosting,
AVSBS08(67-74).
IEEE DOI 0809
See also Commentary Paper on Recognizing Shapes in Video Sequences Using Multi-class Boosting. BibRef

Jenkins, O.C.[Odest Chadwicke], Gonzalez, G.[German], Loper, M.[Matthew],
Dynamical Motion Vocabularies for Kinematic Tracking and Activity Recognition,
V4HCI06(147).
IEEE DOI 0609
BibRef

Fihl, P.[Preben], Holte, M.B.[Michael B.], Moeslund, T.B.[Thomas B.],
Motion Primitives and Probabilistic Edit Distance for Action Recognition,
GW07(24-35).
Springer DOI 0705
BibRef

Fihl, P.[Preben], Holte, M.B.[Michael B.], Moeslund, T.B.[Thomas B.], Reng, L.,
Action Recognition Using Motion Primitives and Probabilistic Edit Distance,
AMDO06(375-384).
Springer DOI 0607
BibRef

Yamamoto, M., Mitomi, H., Fujiwara, F., Sato, T.,
Bayesian Classification of Task-Oriented Actions Based on Stochastic Context-Free Grammar,
FGR06(317-323).
IEEE DOI 0604
BibRef

Feng, Z.[Zhou], Cham, T.J.[Tat-Jen],
Video-based Human Action Classification with Ambiguous Correspondences,
VHCI05(III: 82-82).
IEEE DOI 0507
BibRef

Kitani, K.M.[Kris M.], Okabe, T.[Takahiro], Sato, Y.[Yoichi], Sugimoto, A.[Akihiro],
Discovering Primitive Action Categories by Leveraging Relevant Visual Context,
VS08(xx-yy). 0810
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Lan, T.[Tian], Zhu, Y.[Yuke], Zamir, A.R.[Amir Roshan], Savarese, S.[Silvio],
Action Recognition by Hierarchical Mid-Level Action Elements,
ICCV15(4552-4560)
IEEE DOI 1602
Distance measurement BibRef

Hou, R.[Rui], Zamir, A.R.[Amir Roshan], Sukthankar, R.[Rahul], Shah, M.[Mubarak],
DaMN: Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition,
ECCV14(III: 721-736).
Springer DOI 1408
BibRef

Batra, D.[Dhruv], Chen, T.H.[Tsu-Han], Sukthankar, R.[Rahul],
Space-Time Shapelets for Action Recognition,
Motion08(1-6).
IEEE DOI 0801
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Kuniyoshi, Y., Inoue, H.,
Qualitative Recognition of Ongoing Human Action Sequences,
IJCAI93(1600-1609). BibRef 9300

Pinhanez, C.[Claudio],
Representation and Recognition of Action in Interactive Spaces,
Vismod--493, May 1999 BibRef 9905 Ph.D.Thesis, M.I.T., 1999.
PDF File. BibRef

Pinhanez, C.S.[Claudio Santos], Bobick, A.F.[Aaron F.],
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CVPR98(898-904).
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And: Vismod--423, 1998.
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Pinhanez, C.S.[Claudio Santos], Bobick, A.F.[Aaron F.],
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Vismod--456, January 1998.
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Earlier:
PNF Propagation and the Detection of Actions Described by Temporal Intervals,
DARPA97(227-234). BibRef
Earlier:
PNF Calculus and the Detection of Actions Described by Temporal Intervals,
Vismod--414, 1997. BibRef

Pinhanez, C.S.[Claudio Santos], Bobick, A.F.[Aaron F.],
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AAAI-96(1116-1123). BibRef 9600
And: Vismod-376, 1996.
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Miyamori, H.[Hisashi], Iisaku, S.I.[Shun-Ichi],
Video Annotation for Content-based Retrieval using Human Behavior Analysis and Domain Knowledge,
AFGR00(320-325).
IEEE DOI 0003
BibRef

Pentland, A.P.,
Machine Understanding of Human Action,
ARPA96(757-764). BibRef 9600

Gavrila, D.M.,
The Analysis of Human Movement and Its Application for Visual Surveillance,
VS99(xx-yy). BibRef 9900

Yamamoto, M.[Masanobu], Ohta, Y.[Yoshito], Yamagiwa, T.[Takashi], Yagishita, K.[Katsutoshi], Yamanaka, H.[Hajime], Ohkubo, N.[Naoto],
Human Action Tracking Guided by Key-Frames,
AFGR00(354-361).
IEEE DOI 0003
BibRef

Davis, L.S.[Larry S.], Chellappa, R.[Rama], Yacoob, Y.[Yaser], Zheng, Q.F.[Qin-Fen],
Visual Surveillance and Monitoring of Human and Vehicular Activity,
DARPA97(19-2). BibRef 9700

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Spatio-Temporal Techniques for Human Action Recognition and Detection .


Last update:Jul 15, 2017 at 20:56:55