16.7.4.6 Human Action Detection, Human Action Recognition

Bobick, A.F.[Aaron F.], Davis, J.W.[James W.],
The Recognition of Human Movement Using Temporal Templates,
PAMI(23), No. 3, March 2001, pp. 257-267.
IEEE Abstract.
IEEE DOI Link 0103
BibRef
Earlier:
Action Recognition Using Temporal Templates,
MBR97(Chapter 6). BibRef
Earlier:
Real-Time Recognition of Activity Using Temporal Templates,
WACV96(39-42).
IEEE Abstract. 9609
BibRef
And: Vismod-386, 1997.
HTML Version. and
Postscript Version. BibRef
Earlier:
An Appearance-Based Representation of Action,
ICPR96(I: 307-312).
IEEE DOI Link 9608
A temporal template: a vector image where the value at each point is a funciton of the motion properties at the corresponding location in the image sequence. MIT BibRef

Davis, J.W., Bobick, A.F.,
The Representation and Recognition of Action Using Temporal Templates,
CVPR97(928-934).
IEEE Abstract.
IEEE DOI Link 9704
BibRef
And: Vismod--402, 1997.
HTML Version. and
Postscript Version. Actions (human motion). Templates. BibRef

Davis, J.W.[James W.],
Hierarchical Motion History Images for Recognizing Human Motion,
EventVideo01(39-46).
IEEE DOI Link 0106
BibRef

Davis, J.W.[James W.],
Appearance-Based Motion Recognition of Human Actions,
Vismod-387, 1996, M.S. Thesis Index on the spatial distribution of motion energy.
HTML Version. and
Postscript Version. BibRef 9600

Davis, J.W.[James W.],
Sequential Reliable-Inference for Rapid Detection of Human Actions,
EventVideo04(111).
HTML Version. 0502
BibRef

Masoud, O.T.[Osama T.], Papanikolopoulos, N.P.[Nikos P.],
A method for human action recognition,
IVC(21), No. 8, August 2003, pp. 729-743.
WWW Version. 0307
BibRef
Earlier:
Recognizing human activities,
AVSBS03(157-162).
IEEE Abstract. 0310
BibRef

Kawanaka, D.[Daiki], Okatani, T.[Takayuki], Deguchi, K.[Koichiro],
HHMM Based Recognition of Human Activity,
IEICE(E89-D), No. 7, July 2006, pp. 2180-2185.
WWW Version. 0607
BibRef

Davis, J.W.[James W.], Tyagi, A.[Ambrish],
Minimal-latency human action recognition using reliable-inference,
IVC(24), No. 5, 1 May 2006, pp. 455-472.
WWW Version. 0606
BibRef
Earlier:
A reliable-inference framework for recognition of human actions,
AVSBS03(169-176).
IEEE Abstract. 0310
Action recognition; Reliable-inference; MAP; Video analysis Determine shortest video sequence, and extend if confusing or unreliable. BibRef

Davis, J.W.[James W.], Gao, H.[Hui],
An expressive three-mode principal components model of human action style,
IVC(21), No. 11, October 2003, pp. 1001-1016.
WWW Version. 0310
BibRef
Earlier:
Recognizing human action efforts: An adaptive three-mode PCA framework,
ICCV03(1463-1469).
IEEE DOI Link 0311
BibRef

Davis, J.W., Gao, H.[Hui], Kannappan, V.S.,
A three-mode expressive feature model of action effort,
Motion02(139-144).
IEEE Abstract. 0303
How much effort is required for the action. BibRef

Yilmaz, A.[Alper], Shah, M.[Mubarak],
Matching actions in presence of camera motion,
CVIU(103), No. 2-3, November-December 2006, pp. 221-231.
WWW Version. 0611
BibRef
Earlier:
Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras,
ICCV05(I: 150-157).
IEEE DOI Link 0510
BibRef
Earlier:
Actions Sketch: A Novel Action Representation,
CVPR05(I: 984-989).
IEEE DOI Link 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.
WWW Version. 0802
Human Actions; Differential geometry; Epipolar geometry; Action representation; Action recognition BibRef

Laptev, I.[Ivan], Caputo, B.[Barbara], Schuldt, C.[Christian], Lindeberg, T.[Tony],
Local velocity-adapted motion events for spatio-temporal recognition,
CVIU(108), No. 3, December 2007, pp. 207-229.
WWW Version. 0711
Motion; Local features; Motion descriptors; Matching; Velocity adaptation; Action recognition; Learning; SVM BibRef

Schuldt, C., Laptev, I., Caputo, B.,
Recognizing human actions: a local SVM approach,
ICPR04(III: 32-36).
IEEE DOI Link 0409
Dataset, Actions.
WWW Version. 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 Link 0804
BibRef
Earlier: A1, A3, A4, Only:
A Human Action Recognition System for Embedded Computer Vision Application,
EmbedCV07(1-6).
IEEE DOI Link 0706
BibRef

Yeo, C., Ahammad, P., Ramchandran, K., Sastry, S.S.,
High-Speed Action Recognition and Localization in Compressed Domain Videos,
CirSysVideo(18), No. 8, August 2008, pp. 1006-1015.
IEEE DOI Link 0809
BibRef

Escobar, M.J.[Maria-Jose], Masson, G.S.[Guillaume S.], Vieville, T.[Thierry], Kornprobst, P.[Pierre],
Action Recognition Using a Bio-Inspired Feedforward Spiking Network,
IJCV(82), No. 3, May 2009, pp. xx-yy.
Springer DOI Link 0903
BibRef

Escobar, M.J.[Maria-Jose], Kornprobst, P.[Pierre],
Action Recognition with a Bio-inspired Feedforward Motion Processing Model: The Richness of Center-Surround Interactions,
ECCV08(IV: 186-199).
Springer DOI Link 0810
BibRef

Kim, Y., Ling, H.,
Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine,
GeoRS(47), No. 5, May 2009, pp. 1328-1337.
IEEE DOI Link 0904
BibRef

Ahad, M.A.R.[M. Atiqur Rahman], Tan, J.K., Kim, H.S., Ishikawa, S.,
Temporal motion recognition and segmentation approach,
IJIST(19), No. 2, June 2009, pp. 91-99.
WWW Version. 0905
BibRef

Ahad, M.A.R.[M. Atiqur Rahman], Tan, J.K., Kim, H.S., Ishikawa, S.,
Action recognition by employing combined directional motion history and energy images,
CVCGI10(73-78).
IEEE DOI Link 1006
BibRef

Ahad, M.A.R.[M. Atiqur Rahman], Ogata, T., Tan, J.K., Kim, H.S., Ishikawa, S.,
Motion recognition approach to solve overwriting in complex actions,
FG08(1-6).
IEEE DOI Link 0809
BibRef

de Campos, T.[Teofilo], Barnard, M.[Mark], Mikolajczyk, K.[Krystian], Kittler, J.V.[Josef V.], Yan, F.[Fei], Christmas, W.[William], Windridge, D.[David],
An evaluation of bags-of-words and spatio-temporal shapes for action recognition,
WACV11(344-351).
IEEE DOI Link 1101
BibRef

Uemura, H.[Hirofumi], Ishikawa, S., Mikolajczyk, K.[Krystian],
Feature Tracking and Motion Compensation for Action Recognition,
BMVC08(xx-yy).
PDF Version. 0809
BibRef

Mikolajczyk, K.[Krystian], Uemura, H.[Hirofumi],
Action recognition with appearance-motion features and fast search trees,
CVIU(115), No. 3, March 2011, pp. 426-438.
Elsevier DOI Link
WWW Version. 1103
BibRef
Earlier:
Action recognition with motion-appearance vocabulary forest,
CVPR08(1-8).
IEEE DOI Link 0806
Action recognition; Feature extraction; Dominant motion compensation; Sport action classification 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 Link 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 Link 0706
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 Link 0909
BibRef
And:
A Discriminative Latent Model of Object Classes and Attributes,
ECCV10(V: 155-168).
Springer DOI Link 1009
BibRef

Wang, Y.[Yang], Mori, G.[Greg],
Max-margin Latent Dirichlet Allocation for Image Classification and Annotation,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Lan, T.[Tian], Wang, Y.[Yang], Mori, G.[Greg],
Discriminative figure-centric models for joint action localization and recognition,
ICCV11(2003-2010).
IEEE DOI Link 1201
BibRef

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 Link 0710
BibRef

Huang, Z.F.[Zhi Feng], Yang, W.L.[Wei-Long], Wang, Y.[Yang], Mori, G.[Greg],
Latent Boosting for Action Recognition,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Niebles, J.C.[Juan Carlos], Wang, H.C.[Hong-Cheng], Fei-Fei, L.[Li],
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words,
IJCV(79), No. 3, September 2008, pp. xx-yy.
Springer DOI Link 0806
BibRef BMVC06(III:1249).
PDF Version. 0609
BibRef

Niebles, J.C.[Juan Carlos], Fei-Fei, L.[Li],
A Hierarchical Model of Shape and Appearance for Human Action Classification,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Niebles, J.C.[Juan Carlos], Chen, C.W.[Chih-Wei], Fei-Fei, L.[Li],
Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification,
ECCV10(II: 392-405).
Springer DOI Link 1009
BibRef

Savarese, S.[Silvio], del Pozo, A.[Andrey], Niebles, J.C.[Juan Carlos], Fei-Fei, L.[Li],
Spatial-Temporal correlatons for unsupervised action classification,
Motion08(1-8).
IEEE DOI Link 0801
BibRef

Yao, B.P.[Bang-Peng], Fei-Fei, L.[Li],
Grouplet: A structured image representation for recognizing human and object interactions,
CVPR10(9-16).
IEEE DOI Link Video of talk:
WWW Version. 1006
BibRef

Yao, B.P.[Bang-Peng], Fei-Fei, L.[Li],
Modeling mutual context of object and human pose in human-object interaction activities,
CVPR10(17-24).
IEEE DOI Link Video of talk:
WWW Version. 1006
Award, CVPR, Student, HM. BibRef

Patricio, M.A.[Miguel A.], García, J.[Jesús], Berlanga, A.[Antonio], Molina, J.M.[José M.],
Visual data association for real-time video tracking using genetic and estimation of distribution algorithms,
IJIST(19), No. 3, September 2009, pp. 208-220.
WWW Version. 0909
BibRef

Loza, A., Patricio, M.A.[Miguel A.], García, J.[Jesús], Molina, J.M.[José M.],
Advanced algorithms for real-time video tracking with multiple targets,
ICARCV08(125-131).
IEEE DOI Link 1109
BibRef

Perez Concha, O.[Oscar], Xu, R.Y.D.[Richard Yi Da], Piccardi, M.[Massimo],
Robust Dimensionality Reduction for Human Action Recognition,
DICTA10(349-356).
IEEE DOI Link 1012
BibRef

Pérez, Ó.[Óscar], Piccardi, M.[Massimo], García, J.[Jesús], Patricio, M.Á.[Miguel Ángel], Molina, J.M.[José Manuel],
Comparison Between Genetic Algorithms and the Baum-Welch Algorithm in Learning HMMs for Human Activity Classification,
EvoIASP07(399-406).
Springer DOI Link 0704
BibRef

Piccardi, M.[Massimo], Perez, O.[Oscar],
Hidden Markov Models with Kernel Density Estimation of Emission Probabilities and their Use in Activity Recognition,
VS07(1-8).
IEEE DOI Link 0706
BibRef

Liang, Y.M.[Yu-Ming], Shih, S.W.[Sheng-Wen], Shih, C.C.[Chun-Chieh], Liao, H.Y.M., Lin, C.C.[Cheng-Chung],
Learning Atomic Human Actions Using Variable-Length Markov Models,
SMC-B(39), No. 1, February 2009, pp. 268-280.
IEEE DOI Link 0902
BibRef

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 Link 0906
BibRef

Liu, C.[Chang], Yuen, P.C.[Pong C.],
Human action recognition using boosted EigenActions,
IVC(28), No. 5, May 2010, pp. 825-835.
Elsevier DOI Link
WWW Version. 1003
BibRef
Earlier:
Boosting EigenActions: A new algorithm for human action categorization,
FG08(1-6).
IEEE DOI Link 0809
Human action recognition; Salient action unit; Adaboost BibRef

Liu, C.[Chang], Yuen, P.C.[Pong C.],
A Boosted Co-Training Algorithm for Human Action Recognition,
CirSysVideo(21), No. 9, September 2011, pp. 1203-1213.
IEEE DOI Link 1109
BibRef

Ma, J.H.[Jin-Hua], Yuen, P.C.[Pong C.], Zou, W.W.[Wei-Wen], Lai, J.H.[Jian-Huang],
Supervised Neighborhood Topology Learning for Human Action Recognition,
MLMotion09(476-481).
IEEE DOI Link 0910
BibRef

Han, L.[Lei], Wu, X.X.[Xin-Xiao], Liang, W.[Wei], Hou, G.M.[Guang-Ming], Jia, Y.D.[Yun-De],
Discriminative human action recognition in the learned hierarchical manifold space,
IVC(28), No. 5, May 2010, pp. 836-849.
Elsevier DOI Link
WWW Version. 1003
BibRef
Earlier: A1, A3, A2, A5, Only:
Human action recognition using discriminative models in the learned hierarchical manifold space,
FG08(1-6).
IEEE DOI Link 0809
Human action recognition; Discriminative model; Hierarchical manifold learning; Mutual invariant; Motion pattern See also Action recognition feedback-based framework for human pose reconstruction from monocular images. BibRef

Wu, X.X.[Xin-Xiao], Jia, Y.D.[Yun-De], Liang, W.[Wei],
Incremental discriminant-analysis of canonical correlations for action recognition,
PR(43), No. 12, December 2010, pp. 4190-4197.
Elsevier DOI Link
WWW Version. 1003
BibRef
Earlier: A1, A3, A2:
Incremental discriminative-analysis of canonical correlations for action recognition,
ICCV09(2035-2041).
IEEE DOI Link 0909
Human action recognition; Incremental discriminant-analysis; Computer vision 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 Link 1003
BibRef

Liu, H.[Haowei], 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.
WWW Version. 1003
BibRef

Jiang, Y.G.[Yu-Gang], Li, Z., Chang, S.F.[Shih-Fu],
Modeling Scene and Object Contexts for Human Action Retrieval With Few Examples,
CirSysVideo(21), No. 5, May 2011, pp. 674-681.
IEEE DOI Link 1105
Context from the background scene. Based on 10 basic actions. BibRef

Kong, Y.[Yu], Zhang, X.Q.[Xiao-Qin], Hu, W.M.[Wei-Ming], Jia, Y.D.[Yun-De],
Adaptive learning codebook for action recognition,
PRL(32), No. 8, 1 June 2011, pp. 1178-1186.
Elsevier DOI Link
WWW Version. 1101
Action recognition; Visual codebook; Metric learning BibRef

Wei, Q.D.[Qing-Di], Zhang, X.Q.[Xiao-Qin], Kong, Y.[Yu], Hu, W.M.[Wei-Ming], Ling, H.B.[Hai-Bin],
Compact visual codebook for action recognition,
ICIP10(3805-3808).
IEEE DOI Link 1009
BibRef

Kong, Y.[Yu], Zhang, X.Q.[Xiao-Qin], Wei, Q.D.[Qing-Di], Hu, W.M.[Wei-Ming], Jia, Y.D.[Yun-De],
Group action recognition in soccer videos,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Singh, V.K.[Vivek Kumar], Nevatia, R.[Ram],
Simultaneous tracking and action recognition for single actor human actions,
VC(27), No. 12, December 2011, pp. 1115-1123.
WWW Version. 1112
BibRef

Singh, V.K.[Vivek Kumar], Nevatia, R.[Ram],
Action recognition in cluttered dynamic scenes using Pose-Specific Part Models,
ICCV11(113-120).
IEEE DOI Link 1201
BibRef
Earlier:
Human Action Recognition Using a Dynamic Bayesian Action Network with 2D Part Models,
ICCVGIP10(17-24).
WWW Version. 1111
See also Efficient Inference with Multiple Heterogeneous Part Detectors for Human Pose Estimation. BibRef

Natarajan, P.[Pradeep], Nevatia, R.[Ramakant],
Online, Real-time Tracking and Recognition of Human Actions,
Motion08(1-8).
IEEE DOI Link
PDF Version. 0801
BibRef
Earlier:
Coupled Hidden Semi Markov Models for Activity Recognition,
Motion07(10-10).
IEEE DOI Link
PDF Version. 0702
BibRef
And:
Hierarchical Multi-channel Hidden Semi Markov Models,
IJCAI07(xx-yy).
PDF Version. BibRef

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

Natarajan, P.[Pradeep], Nevatia, R.[Ramakant],
View and scale invariant action recognition using multiview shape-flow models,
CVPR08(1-8).
IEEE DOI Link
PDF Version. 0806
BibRef

Ji, R.R.[Rong-Rong], Yao, H.X.[Hong-Xun], Sun, X.S.[Xiao-Shuai],
Actor-independent action search using spatiotemporal vocabulary with appearance hashing,
PR(44), No. 3, March 2011, pp. 624-638.
Elsevier DOI Link
WWW Version. 1011
Video search; Action retrieval; Attention Shift; 3D-SIFT; Spatiotemporal vocabulary; Dynamic time warping; Appearance hashing BibRef

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.
WWW Version. 1101
BibRef

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 Link 1009
BibRef

Gilbert, A.[Andrew], Illingworth, J.[John], Bowden, R.[Richard],
Action Recognition Using Mined Hierarchical Compound Features,
PAMI(33), No. 1, January 2011, pp. 883-897.
IEEE DOI Link 1104
BibRef
Earlier:
Fast realistic multi-action recognition using mined dense spatio-temporal features,
ICCV09(925-931).
IEEE DOI Link 0909
BibRef
Earlier:
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners,
ECCV08(I: 222-233).
Springer DOI Link 0810
Start from basic feature points as in 2D recognition. BibRef

Oshin, O.[Olusegun], Gilbert, A.[Andrew], Bowden, R.[Richard],
There Is More Than One Way to Get Out of a Car: Automatic Mode Finding for Action Recognition in the Wild,
IbPRIA11(41-48).
Springer DOI Link 1106
BibRef
And:
Capturing the relative distribution of features for action recognition,
FG11(111-116).
IEEE DOI Link 1103
BibRef

Oshin, O.[Olusegun], Gilbert, A.[Andrew], Illingworth, J.[John], Bowden, R.[Richard],
Action recognition using Randomised Ferns,
ObjectEvent09(530-537).
IEEE DOI Link 0910
BibRef
Earlier:
Spatio-temporal feature recognition using randomised Ferns,
MLMotion08(xx-yy). 0810
BibRef

Seo, H.J.[Hae Jong], Milanfar, P.[Peyman],
Action Recognition from One Example,
PAMI(33), No. 1, January 2011, pp. 867-882.
IEEE DOI Link 1104
BibRef
Earlier:
Detection of human actions from a single example,
ICCV09(1965-1970).
IEEE DOI Link 0909
Single example as query to find others BibRef

Shi, Q.F.[Qin-Feng], Cheng, L.[Li], Wang, L.[Li], Smola, A.[Alex],
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models,
IJCV(93), No. 1, May 2011, pp. 22-32.
WWW Version. 1104
BibRef
Earlier: A1, A3, A2, A4:
Discriminative human action segmentation and recognition using semi-Markov model,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Wang, L., Cheng, L., Wang, L.,
Elastic Sequence Correlation for Human Action Analysis,
IP(20), No. 6, June 2011, pp. 1725-1738.
IEEE DOI Link 1106
BibRef

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.
WWW Version. 1101
BibRef

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 Link 1106
BibRef
Earlier:
Max-margin hidden conditional random fields for human action recognition,
CVPR09(872-879).
IEEE DOI Link 0906
BibRef

del Rose, M.S.[Michael S.], and Wagner, C.C.[Christian C.],
Survey on classifying human actions through visual sensors,
AIR(36), 2011.
Springer DOI Link Survey, Human Actions. BibRef 1100

Song, Y., Zheng, Y.T., Tang, S., Zhou, X., Zhang, Y., Lin, S., Chua, T.S.,
Localized Multiple Kernel Learning for Realistic Human Action Recognition in Videos,
CirSysVideo(21), No. 9, September 2011, pp. 1193-1202.
IEEE DOI Link 1109
BibRef

Chakraborty, B.[Bhaskar], Holte, M.B.[Michael B.], Moeslund, T.B.[Thomas B.], Gonzàlez, J.[Jordi],
Selective spatio-temporal interest points,
CVIU(116), No. 3, March 2012, pp. 396-410.
Elsevier DOI Link
WWW Version. 1201
Action recognition; Complex scenes; Multiple actors; Spatio-temporal interest points; Local descriptors; Bag-of-words; Support vector machines BibRef

Chakraborty, B.[Bhaskar], Holte, M.B.[Michael B.], Moeslund, T.B.[Thomas B.], Gonzalez, J.[Jordi], Roca, F.X.[F. Xavier],
A selective spatio-temporal interest point detector for human action recognition in complex scenes,
ICCV11(1776-1783).
IEEE DOI Link 1201
BibRef

Liu, J.G.[Jin-Gen], Yang, Y.[Yang], Saleemi, I.[Imran], Shah, M.[Mubarak],
Learning semantic features for action recognition via diffusion maps,
CVIU(116), No. 3, March 2012, pp. 361-377.
Elsevier DOI Link
WWW Version. 1201
Action recognition; Bag of video words; Semantic visual vocabulary; Diffusion Maps; Pointwise Mutual Information BibRef

Liu, J.G.[Jin-Gen], Yang, Y.[Yang], Shah, M.[Mubarak],
Learning semantic visual vocabularies using diffusion distance,
CVPR09(461-468).
IEEE DOI Link 0906
BibRef

Reddy, K.K.[Kishore K.], Liu, J.G.[Jin-Gen], Shah, M.[Mubarak],
Incremental action recognition using feature-tree,
ICCV09(1010-1017).
IEEE DOI Link 0909
BibRef

Liu, J.G.[Jin-Gen], Luo, J.B.[Jie-Bo], Shah, M.[Mubarak],
Recognizing realistic actions from videos 'in the wild',
CVPR09(1996-2003).
IEEE DOI Link 0906
BibRef

Liu, J.G.[Jin-Gen], Ali, S.[Saad], Shah, M.[Mubarak],
Recognizing human actions using multiple features,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Ali, S.[Saad], Basharat, A.[Arslan], Shah, M.[Mubarak],
Chaotic Invariants for Human Action Recognition,
ICCV07(1-8).
IEEE DOI Link 0710
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 Link 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 Version. 1201
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 Link 1201
BibRef

Cosar, S.[Serhan], Cetin, M.[Mujdat],
A group sparsity-driven approach to 3-D action recognition,
VS11(1904-1911).
IEEE DOI Link 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 Link 1201
BibRef

Nga, D.H.[Do Hang], Yanai, K.[Keiji],
Automatic construction of an action video shot database using web videos,
ICCV11(527-534).
IEEE DOI Link 1201
Based on text tags. 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 Link 1201
Dataset, Action Recognition. The internet has billions of videos, most recognition datasets have a dozen. BibRef

Ablavsky, V.[Vitaly], Sclaroff, S.[Stan],
Learning parameterized histogram kernels on the simplex manifold for image and action classification,
ICCV11(1473-1480).
IEEE DOI Link 1201
See also Layered Graphical Models for Tracking Partially Occluded Objects. 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 Link 1201
BibRef

Lu, Z.W.[Zhi-Wu], Peng, Y.X.[Yu-Xin], Ip, H.H.S.[Horace H.S.],
Spectral learning of latent semantics for action recognition,
ICCV11(1503-1510).
IEEE DOI Link 1201
See also Contextual Kernel and Spectral Methods for Learning the Semantics of Images. BibRef

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

Liu, X.H.[Xiang-Hang], Zhang, J.[Jian],
Active learning for human action recognition with Gaussian Processes,
ICIP11(3253-3256).
IEEE DOI Link 1201
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 Link 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 Link 1201
BibRef

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

Vishwakarma, S.[Sarvesh], Agrawal, A.[Anupam],
Framework for human action recognition using spatial temporal based cuboids,
ICIIP11(1-6).
IEEE DOI Link 1112
BibRef

Souza, F.[Fillipe], Valle, E.[Eduardo], Chávez, G.[Guillermo], de Albuquerque Araújo, A.[Arnaldo],
Color-Aware Local Spatiotemporal Features for Action Recognition,
CIARP11(248-255).
Springer DOI Link 1111
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 Link 1111
BibRef

Taralova, E.[Ekaterina], de la Torre, F.[Fernando], Hebert, M.[Martial],
Source constrained clustering,
ICCV11(1927-1934).
IEEE DOI Link 1201
Quantizing data from different sources. Cluster actions, not cluster subjects. BibRef

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 Link 1106
BibRef

Rahman, S.A.[Shah Atiqur], Leung, M.K.H., Cho, S.Y.[Siu-Yeung],
Human Action Recognition by Extracting Features from Negative Space,
CIAP11(II: 29-39).
Springer DOI Link 1109
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 Link 1106
BibRef

Guha, T.[Tanaya], Ward, R.K.[Rabab K.],
Action recognition by learnt class-specific overcomplete dictionaries,
FG11(143-148).
IEEE DOI Link 1103
BibRef

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

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

Qu, H.[Hao], Wang, L.[Liang], Leckie, C.[Christopher],
Action Recognition Using Space-Time Shape Difference Images,
ICPR10(3661-3664).
IEEE DOI Link 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 Link 1008
BibRef
And: A1, A2, A3, A4, Only:
Recognizing and Localizing Individual Activities through Graph Matching,
AVSS10(196-203).
IEEE DOI Link 1009
BibRef

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

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

Deng, C.[Chao], Cao, X.C.[Xiao-Chun], Liu, H.[Hanyu], Chen, J.[Jian],
A Global Spatio-Temporal Representation for Action Recognition,
ICPR10(1816-1819).
IEEE DOI Link 1008
BibRef

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

Delaitre, V.[Vincent], Laptev, I.[Ivan], Sivic, J.[Josef],
Recognizing human actions in still images: A study of bag-of-features and part-based representations,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Ullah, M.M.[Muhammad Muneeb], Parizi, S.N.[Sobhan Naderi], Laptev, I.[Ivan],
Improving Bag-of-features Action Recognition with Non-local Cues,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Lewandowski, M.[Micha], Makris, D.[Dimitrios], Nebel, J.C.[Jean-Christophe],
View and Style-Independent Action Manifolds for Human Activity Recognition,
ECCV10(VI: 547-560).
Springer DOI Link 1009
BibRef

Satkin, S.[Scott], Hebert, M.[Martial],
Modeling the Temporal Extent of Actions,
ECCV10(I: 536-548).
Springer DOI Link 1009
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 Link 1008
See also Hough Forests for Object Detection, Tracking, and Action Recognition. 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

Gall, J.[Juergen], Yao, A.[Angela], Van Gool, L.J.[Luc J.],
2D Action Recognition Serves 3D Human Pose Estimation,
ECCV10(III: 425-438).
Springer DOI Link 1009
BibRef

Yao, A.[Angela], Gall, J.[Juergen], Van Gool, L.J.[Luc J.],
A Hough transform-based voting framework for action recognition,
CVPR10(2061-2068).
IEEE DOI Link 1006
BibRef

Kovashka, A.[Adriana], Grauman, K.[Kristen],
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition,
CVPR10(2046-2053).
IEEE DOI Link 1006
BibRef

Young, D.L.,
Motion imagery metadata standards assist in object and activity classification,
AIPR10(1-4).
IEEE DOI Link 1010
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 Link 1101
BibRef

Borzeshi, E.Z.[Ehsan Zare], Xu, R.Y.D.[Richard Yi Da], Piccardi, M.[Massimo],
Automatic Human Action Recognition in Videos by Graph Embedding,
CIAP11(II: 19-28).
Springer DOI Link 1109
BibRef

Concha, O.P.[Oscar Perez], Xu, R.Y.D.[Richard Yi Da], Piccardi, M.[Massimo],
Compressive Sensing of Time Series for Human Action Recognition,
DICTA10(454-461).
IEEE DOI Link 1012
BibRef

Utasi, Á.[Ákos], Kovács, A.[Andrea],
Recognizing Human Actions by Using Spatio-temporal Motion Descriptors,
ACIVS10(II: 366-375).
Springer DOI Link 1012
BibRef

Yan, X.[Xunshi], Luo, Y.P.[Yu-Pin],
Making full use of spatial-temporal interest points: An AdaBoost approach for action recognition,
ICIP10(4677-4680).
IEEE DOI Link 1009
BibRef

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

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

Hu, Q.[Qiong], Qin, L.[Lei], Huang, Q.M.[Qing-Ming], Jiang, S.Q.A.[Shu-Qi-Ang], Tian, Q.[Qi],
Action Recognition Using Spatial-Temporal Context,
ICPR10(1521-1524).
IEEE DOI Link 1008
BibRef

Kojima, A.[Atsuhiro], Miki, H.[Hiroshi], Kise, K.[Koichi],
Object Recognition Based on n-gram Expression of Human Actions,
ICPR10(372-375).
IEEE DOI Link 1008
BibRef

Li, W.Q.[Wan-Qing], Zhang, Z.Y.[Zheng-You], Liu, Z.C.[Zi-Cheng],
Action recognition based on a bag of 3D points,
CVPR4HB10(9-14).
IEEE DOI Link 1006
BibRef

Zhong, Y.[Yu], Stevens, M.[Mark],
Action recognition in spatiotemporal volume,
VAM10(25-30).
IEEE DOI Link 1006
Patterns in S-T volume. BibRef

Sizintsev, M.[Mikhail], Wildes, R.P.[Richard P.],
Spatiotemporal oriented energies for spacetime stereo,
ICCV11(1140-1147).
IEEE DOI Link 1201
BibRef

Derpanis, K.G.[Konstantinos G.], Sizintsev, M.[Mikhail], Cannons, K.[Kevin], Wildes, R.P.[Richard P.],
Efficient action spotting based on a spacetime oriented structure representation,
CVPR10(1990-1997).
IEEE DOI Link 1006
human actions in video. Descriptors computed from raw intensity data. 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 Link 1110
BibRef
Earlier: A1, A3, A4, A2:
Human Action Recognition Using Key Points Displacement,
ICISP10(439-447).
Springer DOI Link 1006
BibRef

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

Minhas, R.[Rashid], Baradarani, A.[Aryaz], Seifzadeh, S.[Sepideh], Wu, Q.M.J.[Q. M. Jonathan],
Human Action Recognition Using Non-separable Oriented 3D Dual-Tree Complex Wavelets,
ACCV09(III: 226-235).
Springer DOI Link 0909
BibRef

Yuan, C.F.[Chun-Feng], Li, X.[Xi], Hu, W.M.[Wei-Ming], Wang, H.Z.[Han-Zi],
Human Action Recognition Using Pyramid Vocabulary Tree,
ACCV09(III: 527-537).
Springer DOI Link 0909
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 Link 0909
BibRef

Yao, B.[Benjamin], Zhu, S.C.[Song-Chun],
Learning deformable action templates from cluttered videos,
ICCV09(1507-1514).
IEEE DOI Link 0909
Sequence of image templates with shape and motion primitives (Gabor wavelets, and optical flow). BibRef

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

Vezzani, R., Piccardi, M., Cucchiara, R.,
An efficient Bayesian framework for on-line action recognition,
ICIP09(3553-3556).
IEEE DOI Link 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 Link 0906
BibRef

Gaidon, A.[Adrien], Harchaoui, Z.[Zaid], Schmid, C.[Cordelia],
A time series kernel for action recognition,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
And:
Actom sequence models for efficient action detection,
CVPR11(3201-3208).
IEEE DOI Link 1106
BibRef

Gaidon, A.[Adrien], Marszalek, M.[Marcin], Schmid, C.[Cordelia],
Mining visual actions from movies,
BMVC09(xx-yy).
PDF Version. 0909
BibRef

Marszalek, M.[Marcin], Laptev, I.[Ivan], Schmid, C.[Cordelia],
Actions in context,
CVPR09(2929-2936).
IEEE DOI Link 0906
BibRef

Klaeser, A., Marszalek, M., Schmid, C.,
A Spatio-Temporal Descriptor Based on 3D-Gradients,
BMVC08(xx-yy).
PDF Version. 0809
BibRef

Laptev, I.[Ivan], Marszalek, M.[Marcin], Schmid, C.[Cordelia], Rozenfeld, B.[Benjamin],
Learning realistic human actions from movies,
CVPR08(1-8).
IEEE DOI Link 0806
See also High Five: Recognising human interactions in TV shows. BibRef

Yang, A.Y.[Allen Y.], Iyengar, S.[Sameer], Kuryloski, P.[Philip], Jafari, R.[Roozbeh],
Distributed segmentation and classification of human actions using a wearable motion sensor network,
CVPR4HB08(1-8).
IEEE DOI Link 0806
BibRef

Cherla, S.[Srikanth], Kulkarni, K.[Kaustubh], Kale, A.[Amit], Ramasubramanian, V.,
Towards fast, view-invariant human action recognition,
CVPR4HB08(1-8).
IEEE DOI Link 0806
BibRef

Sawant, N.[Nikhil], Biswas, K.K.,
Human Action Recognition Based on Spatio-temporal Features,
PReMI09(357-362).
Springer DOI Link 0912
BibRef

Yuan, C.F.[Chun-Feng], Hu, W.M.[Wei-Ming], Li, X.[Xi], Maybank, S.J.[Stephen J.], Luo, G.[Guan],
Human Action Recognition under Log-Euclidean Riemannian Metric,
ACCV09(I: 343-353).
Springer DOI Link 0909
BibRef

Fang, C.H.[Chin-Hsien], Chen, J.C.[Ju-Chin], Tseng, C.C.[Chien-Chung], Lien, J.J.J.[Jenn-Jier James],
Human Action Recognition Using Spatio-temporal Classification,
ACCV09(II: 98-109).
Springer DOI Link 0909
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 Link 0909
BibRef

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

Yang, M.[Ming], Lv, F.J.[Feng-Jun], Xu, W.[Wei], Gong, Y.H.[Yi-Hong],
Detection Driven Adaptive Multi-cue Integration for Multiple Human Tracking,
ICCV09(1554-1561).
IEEE DOI Link 0909
BibRef

Yang, M.[Ming], Lv, F.J.[Feng-Jun], Xu, W.[Wei], Yu, K.[Kai], Gong, Y.H.[Yi-Hong],
Human action detection by boosting efficient motion features,
ObjectEvent09(522-529).
IEEE DOI Link 0910
BibRef

Costantini, L.[Luca], Seidenari, L.[Lorenzo], Serra, G.[Giuseppe], Capodiferro, L.[Licia], del Bimbo, A.[Alberto],
Space-Time Zernike Moments and Pyramid Kernel Descriptors for Action Classification,
CIAP11(II: 199-208).
Springer DOI Link 1109
BibRef

Ballan, L.[Lamberto], Bertini, M.[Marco], del Bimbo, A.[Alberto], Seidenari, L.[Lorenzo], Serra, G.[Giuseppe],
Effective Codebooks for human action categorization,
ObjectEvent09(506-513).
IEEE DOI Link 0910
BibRef
And:
Recognizing human actions by fusing spatio-temporal appearance and motion descriptors,
ICIP09(3569-3572).
IEEE DOI Link 0911
BibRef

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

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

Dondera, R.[Radu], Doermann, D.[David], Davis, L.S.[Larry S.],
Action recognition based on human movement characteristics,
WMVC09(1-8).
IEEE DOI Link 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 Link 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 Link 0911
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 Link 0910
BibRef

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

Xu, J.[Jie], Ye, G.[Getian], Wang, Y.[Yang], Wang, W.[Wei], Yang, J.[Jun],
Online Learning for PLSA-Based Visual Recognition,
ACCV10(II: 95-108).
Springer DOI Link 1011
BibRef

Zhang, B.[Bang], Ye, G.[Getian], Wang, Y.[Yang], Wang, W.[Wei], Xu, J.[Jie], Herman, G.[Gunawan], Yang, Y.[Yun],
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition,
ICPR10(1541-1544).
IEEE DOI Link 1008
BibRef

Xu, J.[Jie], Ye, G.[Getian], Wang, Y.[Yang], Herman, G.[Gunawan], Zhang, B.[Bang], Yang, J.[Jun],
Incremental EM for Probabilistic Latent Semantic Analysis on Human Action Recognition,
AVSBS09(55-60).
IEEE DOI Link 0909
BibRef

Chaudhry, R.[Rizwan], Ravichandran, A.[Avinash], Hager, G.D.[Gregory D.], Vidal, R.[Rene],
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions,
CVPR09(1932-1939).
IEEE DOI Link 0906
BibRef

Sun, J.[Ju], Wu, X.[Xiao], Yan, S.C.[Shui-Cheng], Cheong, L.F.[Loong-Fah], Chua, T.S.[Tat-Seng], Li, J.T.[Jin-Tao],
Hierarchical spatio-temporal context modeling for action recognition,
CVPR09(2004-2011).
IEEE DOI Link 0906
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 Link 0906
BibRef

Roth, P.M.[Peter M.], Mauthner, T.[Thomas], Khan, I.[Inayatullah], Bischof, H.[Horst],
Efficient human action recognition by cascaded linear classifcation,
ObjectEvent09(546-553).
IEEE DOI Link 0910
BibRef

Mauthner, T.[Thomas], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Temporal Feature Weighting for Prototype-Based Action Recognition,
ACCV10(II: 566-579).
Springer DOI Link 1011
BibRef
Earlier:
Instant Action Recognition,
SCIA09(1-10).
Springer DOI Link 0906
BibRef

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

Hahn, M.[Markus], Krüger, L.[Lars], Wöhler, C.[Christian],
3D Action Recognition and Long-Term Prediction of Human Motion,
CVS08(xx-yy).
Springer DOI Link 0805
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 Link 0812
BibRef

Grundmann, M.[Matthias], Meier, F.[Franziska], Essa, I.[Irfan],
3D Shape Context and Distance Transform for action recognition,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

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

Rodriguez, M.D.[Mikel D.], Ahmed, J.[Javed], Shah, M.[Mubarak],
Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition,
CVPR08(1-8).
IEEE DOI Link 0806
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 Link 0806
BibRef

Jia, K.[Kui], Yeung, D.Y.[Dit-Yan],
Human action recognition using Local Spatio-Temporal Discriminant Embedding,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Fathi, A.[Alireza], Farhadi, A.[Ali], Rehg, J.M.[James M.],
Understanding egocentric activities,
ICCV11(407-414).
IEEE DOI Link 1201
BibRef

Fathi, A.[Alireza], Ren, X.F.[Xiao-Feng], Rehg, J.M.[James M.],
Learning to recognize objects in egocentric activities,
CVPR11(3281-3288).
IEEE DOI Link 1106
BibRef

Fathi, A.[Alireza], Mori, G.[Greg],
Action recognition by learning mid-level motion features,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Connolly, C.I.[Christopher I.],
Learning to Recognize Complex Actions Using Conditional Random Fields,
ISVC07(II: 340-348).
Springer DOI Link 0711
BibRef

Jung, S.H.[Sang-Hack], Guo, Y.L.[Yan-Lin], Sawhney, H.S.[Harpreet S.], Kumar, R.T.[Rakesh T.],
Action exemplar based real-time action detection,
MLMotion09(498-505).
IEEE DOI Link 0910
BibRef
Earlier:
Multiple Cue Integrated Action Detection,
CVHCI07(108-117).
Springer DOI Link 0710
BibRef

Yang, C.J.[Chang-Jiang], Guo, Y.L.[Yan-Lin], Sawhney, H.S.[Harpreet S.], Kumar, R.T.[Rakesh T.],
Learning Actions Using Robust String Kernels,
HUMO07(313-327).
Springer DOI Link 0710
BibRef

Yu, T.H.[Tsz-Ho], Kim, T.K.[Tae-Kyun], Cipolla, R.[Roberto],
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forest,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Laptev, I.[Ivan], Perez, P.[Patrick],
Retrieving actions in movies,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Tavakkoli, A.[Alireza], Nicolescu, M.[Mircea], Bebis, G.N.[George N.],
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos,
ISVC10(III: 161-170).
Springer DOI Link 1011
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 Link 0712
BibRef

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A Probabilistic Framework for Recognizing Similar Actions using Spatio-Temporal Features,
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Malik, J.[Jitendra],
Recognition and synthesis of human actions from video,
VMV04(189). 0411
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Danafar, S.[Somayeh], Gheissari, N.[Niloofar],
Action Recognition for Surveillance Applications Using Optic Flow and SVM,
ACCV07(II: 457-466).
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Herzog, D.L., Krüger, V.[Volker], Grest, D.[Daniel],
Parametric Hidden Markov Models for Recognition and Synthesis of Movements,
BMVC08(xx-yy).
PDF Version. 0809
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Raamana, P.R.[Pradeep Reddy], Grest, D.[Daniel], Krueger, V.[Volker],
Human Action Recognition in Table-Top Scenarios: An HMM-Based Analysis to Optimize the Performance,
CAIP07(101-108).
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Cho, K.[Kyungeun], Cho, H.[Hyungje], Um, K.[Kyhyun],
Inferring Stochastic Regular Grammar with Nearness Information for Human Action Recognition,
ICIAR06(II: 193-204).
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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 Version. 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,
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Higuchi, M., Aoki, S., Kojima, A., Fukunaga, K.,
Scene recognition based on relationship between human actions and objects,
ICPR04(III: 73-78).
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Cuntoor, N.P.[Naresh P.], Welborn, M.[Matt],
Recognizing Shapes in Video Sequences Using Multi-class Boosting,
AVSBS08(67-74).
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See also Commentary Paper on Recognizing Shapes in Video Sequences Using Multi-class Boosting. BibRef

Cuntoor, N.P.[Naresh P.],
Morse Functions for Activity Classification Using Spatiotemporal Volumes,
BP06(20).
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Jenkins, O.C.[Odest Chadwicke], Gonzalez, G.[German], Loper, M.[Matthew],
Dynamical Motion Vocabularies for Kinematic Tracking and Activity Recognition,
V4HCI06(147).
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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).
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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).
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Yamamoto, M., Mitomi, H., Fujiwara, F., Sato, T.,
Bayesian Classification of Task-Oriented Actions Based on Stochastic Context-Free Grammar,
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Feng, Z.[Zhou], Cham, T.J.[Tat-Jen],
Video-based Human Action Classification with Ambiguous Correspondences,
VHCI05(III: 82-82).
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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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Batra, D.[Dhruv], Chen, T.H.[Tsu-Han], Sukthankar, R.[Rahul],
Space-Time Shapelets for Action Recognition,
Motion08(1-6).
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Atine, J.C.[Jean-Charles],
People Action Recognition in Image Sequences Using a 3D Articulated Object,
ICIAR04(I: 769-777).
WWW Version. 0409
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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.
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Pinhanez, C.S.[Claudio Santos], Bobick, A.F.[Aaron F.],
Human Action Detection Using PNF Propagation of Temporal Constraints,
CVPR98(898-904).
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And: Vismod--423, 1998.
HTML Version. and
Postscript Version. BibRef

Pinhanez, C.S.[Claudio Santos], Bobick, A.F.[Aaron F.],
Fast Constraint Propagation on Specialized Allen Networks and its Application to Action Recognition and Control,
Vismod--456, January 1998.
Postscript Version. BibRef 9801
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.],
Approximate World Models: Incorporating Qualitative and Linguistic Information into Vision Systems,
AAAI-96(1116-1123). BibRef 9600
And: Vismod-376, 1996.
HTML Version. and
Postscript Version. BibRef

Miyamori, H.[Hisashi], Iisaku, S.I.[Shun-Ichi],
Video Annotation for Content-based Retrieval using Human Behavior Analysis and Domain Knowledge,
AFGR00(320-325).
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Lee, C.,
Learning Reduced-Dimension Models of Human Actions,
CMU-RI-TR-00-17, May 2000. BibRef 0005 Ph.D.Thesis.
PDF Version. 0102
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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 Link 0003
BibRef

Bobick, A.F.[Aaron F.], Pentland, A.P.[Alex P.], Poggio, T.[Tommy],
VSAM at the MIT Media Laboratory and CBCL: Learning and Understanding Action in Video Imagery PI Report 1998,
DARPA98(85-91). BibRef 9800
And:
VSAM at the MIT Media laboratory and CBCL: Learning and Understanding Action in Video Imagery,
DARPA97(25-30). 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
Human Action Recognition and Detection Using Human Pose .