Video surveillance of interactions

Proceedings - 2nd IEEE International Workshop on Visual Surveillance, VS 1999

Volumn , Issue , 1999, Pages 82-89

  Ivanov, Yuri ^a   Stauffer, Chris ^b   Bobick, Aaron ^a   Grimson, W E L ^b  

^a MIT MEDIA LAB   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MONITORING; STOCHASTIC SYSTEMS;

ADAPTIVE TRACKERS; AUTOMATIC SURVEILLANCE SYSTEMS; EVENT GENERATORS; OUTDOOR ENVIRONMENT; STOCHASTIC PARSERS; SURVEILLANCE VIDEO; VEHICLE INTERACTIONS; VIDEO SURVEILLANCE;

SECURITY SYSTEMS;

EID: 85016014770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VS.1999.780272     Document Type: Conference Paper

References (20)

1. A. V. Aho and T. G. Peterson. A minimum distance error-correcting parser for context-free languages. SIAM Journal of Computing, 1, 1972.
2. A. Bobick and Y. Ivanov. Action recognition using probabilistic parsing. In Proc. Comp. Vis. And Pattern Rec., pages 196-202, Santa Barbara, CA, 1998.
3. M. Brand. Understanding manipulation in video. In AFGR96, pages 94-99. 1996.
4. M. Brand and N. Oliver. Coupled hidden markov models for complex action recognition. In CVPR, pages 994-999, Puerto Rico, 1996. IEEE.
5. Frank Z. Brill, Thomas J. Olson, and Christopher Tserng. Event recognition and reliability improvements for the autonomous video surveillance system. In Image Understanding Workshop, pages 267-283, Monterey, CA, 1998.
6. H. Bunke and D. Pasche. Parsing multivalued strings and its application to image and waveform recognition. Structural Pattern Analisys, 1990.
7. J. D. Courtney. Automatic video indexing via object motion analysis. PR, 30(4):607-625, 1997.
8. E. Csuhaj-Varj. Grammar systems : A grammatical approach to distribution and cooperation. Topics in computer mathematics ; v. 5. Gordon and Breach, Yverdon, Sitzerland ; [Langhorne, Pa.?] USA, 1994.
9. Jay Clark Earley. An Efficient Context-Free Parsing Algorithm. Ph.d., Carnegie-Mellon University, 1968.
10. Nir Friedman and Stuart Russell. Image segmentation in video sequences: A probabilistic approach. In Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997.
11. W. E. L. Grimson, C. Stauffer, R. Romano, and L. Lee. Using adaptive tracking to classify and monitor activities. In Comp. Vis. And Pattern Rec., pages 22-29, Santa Barabara, CA, 1998. IEEE.
12. Y. A. Ivanov and A. F. Bobick. Probabilistic parsing in action recognition. Technical Report TR 450, MIT Media Lab, Vision and Modeling Group, 1997.
13. Yuri Ivanov and Aaron Bobick. Parsing multi-agent interactions. Technical Report 479, MIT Media Lab, December 1998 1998.
14. R. J. Morris and D. C. Hogg. Statistical models of object interaction. In ICCV'98, Workshop on Visual Surveillance, 1998. 2.
15. Nuria Oliver, Barbara Rosario, and Alex Pentland. Statistical modeling of human interactions. In CVPR, The Interpretation of Visual Motion Workshop, pages 39-46, Santa Barbara, CA, 1998. IEEE.
16. P. Remagnino, T. Tan, and K. Baker. Agent orientated annotation in model based visual surveillance. In ICCV, pages 857-862, Bombay, 1998.
17. Christof Ridder, Olaf Munkelt, and Harald Kirchner. Adaptive background estimation and foreground detection using kalman-filtering. In International Conference on recent Advances in Mechatronics, pages 193-199, 1995.
18. Chris Stauffer and W.E.L. Grimson. Adaptive background mixture models for real-time tracking. 1999.
19. A. Stolcke. An efficient probabilistic context-free parsing algorithm that computes prefix probabilities. Computational Linguistics, 21(2), 1995.
20. C. Wren, A. Azarbayejani, T. Darrell, and A. Pentland. Pfinder: Real-time tracking of the human body. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(7):780-785, 1997.