Real time analysis of situation events for intelligent surveillance

Proceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008

Volumn 2, Issue , 2008, Pages 122-125

  Xiaoling, Xiao ^a,b   Layuan, Li ^b  

^a YANGTZE UNIVERSITY   (China)

^b WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

COMPUTATION TIME; DYNAMIC BAYESIAN NETWORKS; HIERARCHICAL FEATURES; INTELLIGENT SURVEILLANCE; POSTERIOR PROBABILITY; REAL TIME ANALYSIS; REAL TIME RECOGNITION; SUB-EVENTS;

BAYESIAN NETWORKS;

EID: 61349171228     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iscid.2008.164     Document Type: Conference Paper

References (9)

1. L. R. Rabiner. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE, 1989, 77(2):257-286.
2. J. Yamato, J. Ohya, and K. Ishii. Recognizing human action in time-sequential images using hidden Markov model. In IEEE Conf. on Computer Vision and Pattern Recognition, 1992:379-385.
3. N. M. Oliver, B. Rosario, and A. Pentland. A Bayesian computer vision system for modeling human interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8):831-843.
4. Dong Zhang, Daniel Gatica-Perez, Samy Bengio, et al. Modeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework. In Proc. CVPR Workshop on Event Mining in Video, Jul. 2004.
5. N. Oliver, E. Horvitz, and A. Garg. Layered representations for human activity recognition. In Fourth IEEE Int. Conf. On Multimodal Interfaces, 2002:3-8.
6. Y. Ivanov and A. Bobick. Recognition of visual activities and interactions by stochastic parsing. IEEE Transactions on Pattern Recognition and Machine Intelligence, 2000, 22 (8):852-872.
7. N. T. Nguyen, S. Venkatesh, G. West, and H. H. Bui. Hierarchical monitoring of people's behaviors in complex environments using multiple cameras. In International Conference on Pattern Recognition, Quebec City, QC, August 2002.
8. Xinyu Xu, Baoxin Li. Rao-Blackwellised particle filter for tracking with application in visual surveillance. Proceeding of 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005:17-24.
9. Xiao xiaoling, Li layuan. Real time recognition of situation events based on particle filter. Journal of Wuhan University of Technology, 2007, 31(5):823-826.