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http://dx.doi.org/10.7840/KICS.2011.36C.12.744

Detection of Abnormal Behavior by Scene Analysis in Surveillance Video  

Bae, Gun-Tae (연세대학교 컴퓨터과학과)
Uh, Young-Jung (연세대학교 컴퓨터과학과)
Kwak, Soo-Yeong (한밭대학교 제어계측공학과)
Byun, Hye-Ran (연세대학교 컴퓨터과학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.36, no.12C, 2011 , pp. 744-752 More about this Journal
Abstract
In intelligent surveillance system, various methods for detecting abnormal behavior were proposed recently. However, most researches are not robust enough to be utilized for actual reality which often has occlusions because of assumption the researches have that individual objects can be tracked. This paper presents a novel method to detect abnormal behavior by analysing major motion of the scene for complex environment in which object tracking cannot work. First, we generate Visual Word and Visual Document from motion information extracted from input video and process them through LDA(Latent Dirichlet Allocation) algorithm which is one of document analysis technique to obtain major motion information(location, magnitude, direction, distribution) of the scene. Using acquired information, we compare similarity between motion appeared in input video and analysed major motion in order to detect motions which does not match to major motions as abnormal behavior.
Keywords
Abnormal behavior; Scene analysis; Intelligent surveillance System;
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  • Reference
1 Carlo Tomasi, Takeo Kanade, "Detection and tracking of point features", Technical Report CMU-CS-91-132, Carnegie Mellon University, April 1991.
2 http://www.ee.cuhk.edu.hk/-xgwang/MITtraffi c.html
3 C. Stauffer and E. Grimson, "Learning Patterns of Activity Using Real-Time Tracking," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, pp. 747-757, 2000.   DOI   ScienceOn
4 X. Wang, K. Tieu, and E. Grimson, "Learning Semantic Scene Models by Trajectory Analysis," Proc. Ninth European Conf. Computer Vision, 2006.
5 H. Zhong, J. Shi, and M. Visontai, "Detecting Unusual Activity in Video," Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition, 2004.
6 P. Smith, N.V. Lobo, and M. Shah, "Temporalboost for Event Recognition," Proc. Int'l Conf. Computer Vision, 2005.
7 T. Xiang and S. Gong, "Video Behaviour Profiling and Abnormality Detection without Manual Labelling," Proc. Int'l Conf. Computer Vision, 2005.
8 C. Harris and M.J. Stephens. A combined corner and edge detector. In Alvey Vision Conference, pages 147-152, 1988.
9 Y. Wang, T. Jiang, M.S. Drew, Z. Li, and G. Mori, "Unsupervised Discovery of Action Classes," Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition, 2006.
10 David M. Blei, Andrew Y. Ng, Michael I. Jordan, "Latent dirichlet allocation", The Journal of Machine Learning Research, Volume 3, pp 993-1022, 2003.