16.7.3.1 Event Models, Action Models, Motion Detection for Events, Backgrounds

Allen, J.F.,
Maintaining Knowledge About Time Temporal Intervals,
CACM(26), 1983, pp. 832-842. BibRef 8300

Allen, J.F.[James F.],
Towards a General Theory of Action and Time,
AI(23), No. 2, July 1984, pp. 123-154.
WWW Version. BibRef 8407

Raiha, L.,
Approximate Sequence Comparison: A Study with Histograms,
PR(23), No. 1-2, 1990, pp. 159-169.
WWW Version. BibRef 9000

Haering, N.C.[Niels C.], da Vitoria Lobo, N.[Niels],
Visual Event Detection,
KluwerBoston, 2001. ISBN Number 0-7923-7436-3
WWW Version. Extract image descriptions to provide an internal description of the world. Process in a flat hierarchy. Deal with missing information and extra information. To purchase this book look here BibRef 0100

Joo, S.W.[Seong-Wook], Chellappa, R.[Rama],
A Multiple-Hypothesis Approach for Multiobject Visual Tracking,
IP(16), No. 11, November 2007, pp. 2849-2854.
IEEE DOI Link 0709
BibRef
Earlier:
Recognition of Multi-Object Events Using Attribute Grammars,
ICIP06(2897-2900).
IEEE DOI Link 0610
BibRef
And:
Attribute Grammar-Based Event Recognition and Anomaly Detection,
SLAM06(107).
IEEE DOI Link 0609
BibRef

Green, R.,
Spatially and Temporally Segmenting Movement to Recognize Actions,
HumMotBook08(9). 0802
BibRef

Cuntoor, N.P., Yegnanarayana, B., Chellappa, R.,
Activity Modeling Using Event Probability Sequences,
IP(17), No. 4, April 2008, pp. 594-607.
IEEE DOI Link 0803
BibRef

Cuntoor, N.P.[Naresh P.],
Event detection using multiple event probability sequences,
ICIP09(4321-4324).
IEEE DOI Link 0911
BibRef

Cuntoor, N.P.[Naresh P.], Chellappa, R.[Rama],
Epitomic Representation of Human Activities,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Abdelkader, M.F.[Mohamed F.], Roy-Chowdhury, A.K.[Amit K.], Chellappa, R.[Rama], Akdemir, U.[Umut],
Activity Representation Using 3D Shape Models,
JIVP(2008), No. 2008, pp. xx-yy.
WWW Version. 0804
BibRef

Abdelkader, M.F.[Mohamed F.], Abd-Almageed, W.[Wael], Srivastava, A.[Anuj], Chellappa, R.[Rama],
Silhouette-based gesture and action recognition via modeling trajectories on Riemannian shape manifolds,
CVIU(115), No. 3, March 2011, pp. 439-455.
Elsevier DOI Link
WWW Version. 1103
Gesture recognition; Action recognition; Riemannian manifolds; Shape space; Silhouette-based approaches BibRef

Chuang, C.H., Hsieh, J.W., Tsai, L.W., Chen, S.Y., Fan, K.C.,
Carried Object Detection Using Ratio Histogram and its Application to Suspicious Event Analysis,
CirSysVideo(19), No. 6, June 2009, pp. 911-916.
IEEE DOI Link 0906
BibRef

Sankaranarayanan, A.C.[Aswin C.], Patro, R.[Robert], Turaga, P.K.[Pavan K.], Varshney, A.[Amitabh], Chellappa, R.[Rama],
Modeling and Visualization of Human Activities for Multicamera Networks,
JIVP(2009), No. 2009, pp. xx-yy.
WWW Version. 0911
BibRef

Sankaranarayanan, A.C.[Aswin C.], Turaga, P.K.[Pavan K.], Baraniuk, R.G.[Richard G.], Chellappa, R.[Rama],
Compressive Acquisition of Dynamic Scenes,
ECCV10(I: 129-142).
Springer DOI Link 1009
BibRef

Turaga, P.K.[Pavan K.], Chellappa, R.[Rama],
Locally time-invariant models of human activities using trajectories on the grassmannian,
CVPR09(2435-2441).
IEEE DOI Link 0906
BibRef

Wang, L.[Liang], Wang, Y.Z.[Yi-Zhou], Gao, W.[Wen],
Mining Layered Grammar Rules for Action Recognition,
IJCV(93), No. 2, June 2011, pp. 162-182.
WWW Version. 1104
BibRef

Wang, L.[Liang], Wang, Y.Z.[Yi-Zhou], Jiang, T.T.[Ting-Ting], Gao, W.[Wen],
Instantly telling what happens in a video sequence using simple features,
CVPR11(3257-3264).
IEEE DOI Link 1106
Recognize actions from a few frames. Use optical flow and edges. BibRef

Yu, G., Goussies, N.A., Yuan, J.S., Liu, Z.C.,
Fast Action Detection via Discriminative Random Forest Voting and Top-K Subvolume Search,
MultMed(13), No. 3, 2011, pp. 507-517.
IEEE DOI Link 1106
Find all action instances BibRef

Yu, G.[Gang], Yuan, J.S.[Jun-Song], Liu, Z.C.[Zi-Cheng],
Unsupervised random forest indexing for fast action search,
CVPR11(865-872).
IEEE DOI Link 1106
BibRef

Zhang, L., Zeng, Z.[Zhi], Ji, Q.A.[Qi-Ang],
Probabilistic Image Modeling With an Extended Chain Graph for Human Activity Recognition and Image Segmentation,
IP(20), No. 9, September 2011, pp. 2401-2413.
IEEE DOI Link 1109
BibRef

Zeng, Z.[Zhi], Ji, Q.A.[Qi-Ang],
Knowledge Based Activity Recognition with Dynamic Bayesian Network,
ECCV10(VI: 532-546).
Springer DOI Link 1009
BibRef

Merler, M., Huang, B., Xie, L.X., Hua, G., Natsev, A.P.,
Semantic Model Vectors for Complex Video Event Recognition,
MultMed(14), No. 1, January 2012, pp. 88-101.
IEEE DOI Link 1201
BibRef

Wang, Y.[Yang], Wu, L.[Lin], Huang, X.D.[Xiao-Di],
Action recognition using tri-view constraints,
AVSBS11(107-112).
IEEE DOI Link 1111
BibRef

Bartocci, D.[Daniele], Ferretti, M.[Marco],
Handling Complex Events in Surveillance Tasks,
CIAP11(II: 99-108).
Springer DOI Link 1109
BibRef

Agustí, P.[Pau], Traver, V.J.[V. Javier], Marin-Jimenez, M.J.[Manuel J.], Pla, F.[Filiberto],
Exploring Alternative Spatial and Temporal Dense Representations for Action Recognition,
CAIP11(II: 364-371).
Springer DOI Link 1109
BibRef

Bourdev, L.[Lubomir], Maji, S.[Subhransu], Malik, J.[Jitendra],
Describing people: A poselet-based approach to attribute classification,
ICCV11(1543-1550).
IEEE DOI Link 1201
BibRef
Earlier: A2, A1, A3:
Action recognition from a distributed representation of pose and appearance,
CVPR11(3177-3184).
IEEE DOI Link 1106
BibRef

Le, Q.V.[Quoc V.], Zou, W.Y.[Will Y.], Yeung, S.Y.[Serena Y.], Ng, A.Y.[Andrew Y.],
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis,
CVPR11(3361-3368).
IEEE DOI Link 1106
BibRef

Wang, J.[Jiang], Chen, Z.Y.[Zhuo-Yuan], Wu, Y.[Ying],
Action recognition with multiscale spatio-temporal contexts,
CVPR11(3185-3192).
IEEE DOI Link 1106
BibRef

Wang, H.[Heng], Klaser, A.[Alexander], Schmid, C.[Cordelia], Liu, C.L.[Cheng-Lin],
Action recognition by dense trajectories,
CVPR11(3169-3176).
IEEE DOI Link 1106
BibRef

Kotsia, I.[Irene], Argyriou, V.[Vasileios],
Action spotting exploiting the frequency domain,
CVCG11(43-48).
IEEE DOI Link 1106
BibRef

Kwak, S.[Suha], Han, B.H.[Bo-Hyung], Han, J.H.[Joon Hee],
Scenario-based video event recognition by constraint flow,
CVPR11(3345-3352).
IEEE DOI Link 1106
BibRef

Brendel, W.[William], Fern, A.[Alan], Todorovic, S.[Sinisa],
Probabilistic event logic for interval-based event recognition,
CVPR11(3329-3336).
IEEE DOI Link 1106
BibRef

Wang, C.H.[Chun-Hao], Wang, Y.J.[Yong-Jin], Guan, L.[Ling],
Event Detection and Recognition using Histogram of Oriented Gradients and Hidden Markov Models,
ICIAR11(I: 436-445).
Springer DOI Link 1106
BibRef

Matern, D.[Dierck], Condurache, A.P.[Alexandru Paul], Mertins, A.[Alfred],
Linear Prediction Based Mixture Models for Event Detection in Video Sequences,
IbPRIA11(25-32).
Springer DOI Link 1106
BibRef

Romdhane, R.[Rim], Boulay, B.[Bernard], Bremond, F.[Francois], Thonnat, M.[Monique],
Probabilistic Recognition of Complex Event,
CVS11(122-131).
Springer DOI Link 1109
BibRef
Earlier: A1, A3, A4, Only:
A Framework Dealing with Uncertainty for Complex Event Recognition,
AVSS10(392-399).
IEEE DOI Link 1009
BibRef

Guo, K.[Kai], Ishwar, P.[Prakash], Konrad, J.[Janusz],
Action Recognition in Video by Sparse Representation on Covariance Manifolds of Silhouette Tunnels,
ICPR-Contests10(294-305).
Springer DOI Link 1008
BibRef
And:
Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow,
AVSS10(188-195).
IEEE DOI Link 1009
BibRef

Kieran, D., Yan, W.Q.[Wei-Qi],
A Framework for an Event Driven Video Surveillance System,
AVSS10(97-102).
IEEE DOI Link 1009
BibRef

Matsukawa, T.[Tetsu], Kurita, T.[Takio],
Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes,
ICPR10(1731-1734).
IEEE DOI Link 1008
BibRef

Hospedales, T.[Timothy], Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
A Markov Clustering Topic Model for Mining Behaviour in Video,
ICCV09(1165-1172).
IEEE DOI Link 0909
BibRef

Messing, R.[Ross], Pal, C.[Chris], Kautz, H.[Henry],
Activity recognition using the velocity histories of tracked keypoints,
ICCV09(104-111).
IEEE DOI Link 0909
BibRef

Kovacs, L.[Levente], Utasi, Á.[Ákos], Szlavik, Z.[Zoltán], Havasi, L.[László], Petras, I.[István], Sziranyi, T.[Tamás],
Digital Video Event Detector Framework for Surveillance Applications,
AVSBS09(565-570).
IEEE DOI Link 0909
BibRef

Mattivi, R.[Riccardo], Shao, L.[Ling],
Human Action Recognition Using LBP-TOP as Sparse Spatio-Temporal Feature Descriptor,
CAIP09(740-747).
Springer DOI Link 0909
Local Binary Pattern on Three Orthogonal Planes. BibRef

Hatun, K.[Kardelen], Duygulu, P.[Pinar],
Pose sentences: A new representation for action recognition using sequence of pose words,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Patron-Perez, A.[Alonso], Sommerlade, E.[Eric], Reid, I.D.[Ian D.],
Action recognition using shared motion parts,
VS08(xx-yy). 0810
See also Modelling pedestrian trajectory patterns with Gaussian processes. BibRef

Sommerlade, E.[Eric], Reid, I.D.[Ian D.],
Cooperative Surveillance of Multiple Targets using Mutual Information,
M2SFA208(xx-yy). 0810
BibRef

Tran, S.D.[Son D.], Davis, L.S.[Larry S.],
Event Modeling and Recognition Using Markov Logic Networks,
ECCV08(II: 610-623).
Springer DOI Link 0810
BibRef

Wang, Z.X.[Zheng-Xiang], Hu, Y.Q.[Yi-Qun], Chia, L.T.[Liang-Tien],
Image-to-Class Distance Metric Learning for Image Classification,
ECCV10(I: 706-719).
Springer DOI Link 1009
BibRef
And:
Multi-label learning by Image-to-Class distance for scene classification and image annotation,
CIVR10(105-112).
WWW Version. 1007
BibRef
Earlier:
Learning instance-to-class distance for human action recognition,
ICIP09(3545-3548).
IEEE DOI Link 0911
BibRef

Zhang, Z.M.[Zi-Ming], Hu, Y.Q.[Yi-Qun], Chan, S.[Syin], Chia, L.T.[Liang-Tien],
Motion Context: A New Representation for Human Action Recognition,
ECCV08(IV: 817-829).
Springer DOI Link 0810
BibRef

Vitaladevuni, S.N.[Shiv N.], Natarajan, P.[Pradeep], Prasad, R.[Rohit], Natarajan, P.[Prem],
Efficient Orthogonal Matching Pursuit using sparse random projections for scene and video classification,
ICCV11(2312-2319).
IEEE DOI Link 1201
Implementation of sparse projection for video analysis BibRef

Vitaladevuni, S.N.[Shiv N.], Kellokumpu, V.[Vili], Davis, L.S.[Larry S.],
Action recognition using ballistic dynamics,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Zhai, Y.[Yun], Tian, Y.L.[Ying-Li], Hampapur, A.[Arun],
Composite Spatio-Temporal Event Detection in Multi-Camera Surveillance Networks,
M2SFA208(xx-yy). 0810
BibRef

Velipasalar, S.[Senem], Brown, L.M.[Lisa M.], Hampapur, A.[Arun],
Specifying, Interpreting and Detecting High-level, Spatio-Temporal Composite Events in Single and Multi-Camera Systems,
SLAM06(110).
IEEE DOI Link 0609
BibRef

Piriou, G., Bouthemy, P., Yao, J.F.[Jian-Feng],
Learned probabilistic image motion models for event detection in videos,
ICPR04(IV: 207-210).
IEEE DOI Link 0409
BibRef

Minnen, D.C., Wren, C.R.,
Finding temporal patterns by data decomposition,
AFGR04(608-613).
IEEE Abstract. 0411
BibRef

Shi, Y.[Yifan], Bobick, A.F.[Aaron F.], Essa, I.A.[Irfan A.],
Learning Temporal Sequence Model from Partially Labeled Data,
CVPR06(II: 1631-1638).
IEEE DOI Link 0606
BibRef

Shi, Y.[Yifan], Huang, Y.[Yan], Minnen, D., Bobick, A.F., Essa, I.A.,
Propagation networks for recognition of partially ordered sequential action,
CVPR04(II: 862-869).
IEEE Abstract.
HTML Version. Dataset, Actions. 0408
See also Georgia Tech. BibRef

Tzouvaras, V., Tsechpenakis, G., Stamou, G., Kollias, S.,
Adaptive rule-based recognition of events in video sequences,
ICIP03(II: 607-610).
IEEE Abstract. 0312
BibRef

Spagnolo, P., Leo, M., Leone, A., Attolico, G., Distante, A.,
Posture estimation in visual surveillance of archaeological sites,
AVSBS03(277-283).
IEEE Abstract. 0310
BibRef

Branca, A., Leo, M., Attolico, G., Distante, A.,
Detection of objects carried by people,
ICIP02(III: 317-320).
IEEE Abstract. 0210
BibRef

Spagnolo, P., Leo, M., Attolico, G., Distante, A.,
A Supervised Approach in Background Modelling for Visual Surveillance,
AVBPA03(592-599).
HTML Version. 0310
BibRef

Gutchess, D.[Daniel], Trajkovic, M.[Miroslav], Cohen-Solal, E.[Eric], Lyons, D.M.[Damian M.], Jain, A.K.[Anil K.],
A Background Model Initialization Algorithm for Video Surveillance,
ICCV01(I: 733-740).
IEEE DOI Link 0106
BibRef

Burns, J.B.[J. Brian],
Detecting independently moving objects and their interactions in georeferenced airborne video,
EventVideo01(12-19).
IEEE DOI Link 0106
BibRef

Marks, R.L.[Richard Lee], Burns, J.B.[John Brian],
Object tracking system using statistical modeling and geometric relationship,
US_Patent5,845,009, Dec 1, 1998
WWW Version. BibRef 9812

Marks, R.L.[Richard Lee],
Method of tracking objects with an imaging device,
US_Patent6,061,055, May 9, 2000
WWW Version. BibRef 0005

Gibbins, D., Newsam, G.N., and Brooks, M.J.,
Detecting Suspicious Background Changes in Video Surveillance of Busy Scenes,
WACV96(22-26).
IEEE Abstract. 9609
BibRef

Burrell, A., Papantoni, T.,
Sequential Algorithms for Detecting Changes in Acting Stochastic Processes and On-line Learning of Their Operational Parameters,
ICPR00(Vol II: 656-659).
IEEE DOI Link 0009
BibRef

Dawson-Howe, K.M.,
Active Surveillance Using Dynamic Background Substraction,
TRTCD-CS-96-06, August, 1996 Dept. of Computer Science, Trinity College, Dublin, Ireland. BibRef 9608

Krogh, A.,
Hidden Markov models for labeled sequences,
ICPR94(B:140-144).
IEEE DOI Link 9410
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Detecting Anomalies, Abnormal Event, Abnormal Behavior, or Rare Events, Rare Behaviors .