Video-based event recognition: Activity representation and probabilistic recognition methods

Computer Vision and Image Understanding

Volumn 96, Issue 2 SPEC. ISS., 2004, Pages 129-162

  Hongeng, Somboon ^a,b   Nevatia, Ram ^a   Bremond, Francois ^a,c  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF HAMBURG   (Germany)

^c INRIA   (France)

Author keywords

Activity recognition; Event mining; Video based event detection

Indexed keywords

COMPUTATIONAL METHODS; CONSTRAINT THEORY; HUMAN COMPUTER INTERACTION; MULTI AGENT SYSTEMS; PERTURBATION TECHNIQUES; PROBABILITY; RANDOM ACCESS STORAGE; STOCHASTIC PROGRAMMING; VIDEO SIGNAL PROCESSING;

BAYESIAN METHODS; EVENT RECOGNITION; EVENT THREADS; LOGIC NETWORKS;

COMPUTER VISION;

EID: 4944221737     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cviu.2004.02.005     Document Type: Conference Paper

References (25)

1. H. Buxton, S. Gong, Visual surveillance in a dynamic and uncertain world, Artif. Intell. 78 (1-2) (1995) 431-459.
2. Y. Ivanov, A. Bobick, Recognition of visual activities and interactions by stochastic parsing, IEEE Trans. Pattern Anal. Mach. Intell. 22 (8) (2000) 852-872.
3. S. Intille, A. Bobick, Recognizing planned multiperson action, J. Comput. Vision Image Understand. 3 (2001) 414-445.
4. S. Hongeng, R. Nevatia, Multi-agent event recognition, in: IEEE Proc. Internat. Conf. on Computer Vision, vol. 2, Vancouver, Canada, 2001, pp. 84-91.
5. G. Medioni, I. Cohen, F. Bremond, S. Hongeng, R. Nevatia, Event detection and analysis from video streams, IEEE Trans. Pattern Anal. Mach. Intell. 23 (8) (2001) 873-889.
6. S. Hongeng, F. Bremond, R. Nevatia, Representation and optimal recognition of human activities, in: IEEE Proc. Comput. Vision Pattern Recogn., Hilton Head Island, SC, 2000, pp. 1818-1825.
7. C.S. Regazzoni, G. Fabri, G. Vernazza (Eds.), Advanced Video-Based Surveillance Systems, Kluwer Academic Publishers, Dordrecht, 1999.
8. R.T. Colins, A.J. Lipton, T. Kanade (Eds.), Special Issue on Video Surveillance, IEEE Trans. Pattern Anal. Mach. Intell. 22 (8) 2000.
9. J.K. Aggarwal, Q. Cai, Human motion analysis: a review, Comput. Vision Image Understand. 73 (1999) 428-440.
10. L. Davis, R. Chelappa, A. Rosenfeld, D. Harwood, I. Haritaoglu, R. Cutler, Visual surveillance and monitoring, in: DARPA Image Understanding Workshop, 1998, pp. 73-76.
11. J. Binder, D. Koller, S. Russell, K. Kanazawa, Adaptive probabilistic networks with hidden variables, Mach. Learn. 29 (1997) 213-244.
12. J. Yamato, J. Ohya, K. Ishii, Recognizing human action in time-sequential images using hidden markov model, in: IEEE Proc. Comput. Vision Pattern Recogn., Champaign, IL, 1992, pp. 379-385.
13. T. Starner, A. Pentland, Real-time american sign language recognition from video using hidden markov models, in: Proc. ISCV '95, 1995, pp. 265-270.
14. A. Wilson, A. Bobick, Recognition and interpretation of parametric gesture, in: IEEE Proc. Internat. Conf. on Computer Vision, Bombay, India, 1998, pp. 329-336.
15. P. Remagnino, J. Orwell, G. A. Jones, Visual interpretation of people and vehicle behaviours using a society of agents, in: Italian Association for Artificial Intelligence, 1999, pp. 333-342.
16. N. Oliver, B. Rosario, A. Pentland, A Bayesian computer vision system for modeling human interactions, IEEE Trans. Pattern Anal. Mach. Intell. 22 (8) (2000) 831-843.
17. R. Morris, D. Hogg, Statistical models of object interaction, in: Proc. Internat. Conf. on Computer Vision (ICCV) Workshop on Visual Surveillance, Bombay, India, 1998.
18. T. Syeda-Mahmood, S. Srinivasan, Detecting topical events in digital video, in: Proc. Eight ACM International Conference on Multimedia, 2000, pp. 85-94.
19. M. R. Nephade, T.S. Huang, Detecting semantic concepts using context and audio/visual features, in: Proc. IEEE workshop on Detection and Recognition of Events in Video, 2001, pp. 92-98.
20. N. Oliver, E. Horvitz, A. Garg, Layered representations for recognizing office activity, in: Proc. Fourth IEEE International Conference on Multimodal Interaction, Pittsburgh, PA, 2002, pp. 3-8.
21. M. Yamamoto, K. Yagishita, Scene constraints-aided tracking of human body, in: IEEE Proc. Computer Vision and Pattern Recognition, 2000, pp. 151-156.
22. H. SidenBladh, M. J. Black, D. Fleet, Stochastic tracking of 3D human figures using 2D image motion, in: Proc. Eur. Conf. on Computer Vision, 2000, pp. 709-716.
23. R. von Mises, Mathematical Theory of Probability and Statistics, Academic Press, New York, 1964.
24. J.F. Allen, G. Ferguson, Actions and events in temporal logic, J. Logic Comput. 4 (5) (1994) 531-579.
25. L.R. Rabiner, B.H. Juang, An introduction to hidden markov models, IEEE ASSP Mag. (1986) 4-16.