Real-time algorithm for the detection and classification of the exceptions in the home security surveillance

[1] Iketani A, Kuno Y, Shimada N, et al. Real time surveillance system detecting persons in complex scenes. Proceedings of Image Analysis and Processing, 1999. 1112~1115 [2] Barron J, Fleet D, Beauchemin S. Performance of optical flow techniques [J]. International Journal of Computer Vision, 1994, 12(1):42~77 [3] Anderson C, Burt P, van der Waals G. Change detection and tracking using pyramid transformation techniques. Proc of SPIE-intelligent Robots and Computer Vision, 1985. 579:72~78 [4] Collins R T. A system for video surveillance and monitoring. CMU-RI-TR-00-12. http://www.cs. cmu.edu [5] Wildes R P. A measure of motion salience for surveillance applications. Proceedings of Image Processing ICIP 98, 1998.183~187 [6] 章毓晋. 图像处理和分析[M]. 北京:清华大学出版社, 1999. 29~30 Zhang Yujin. Image processing and analysis [M]. Beijing:Tsinghua University Press, 1999. 29~30(in Chinese) [7] Wu H Y, Chen Q. Face detection from color images using a fuzzy pattern matching method [J]. IEEE Transaction On Pattern Analysis and Machine Intelligence, 1999,21(6):557~563 [8] Sangwine S J, Horne R E N. The colour image processing handbook[M]. Chapman & Hall, 1998. 82~89 [9] Toyama K, Krumm J, Brumitt B, et al. Wallflower:Principles and practice of background maintenance. Proc of Computer Vision, 1999. 255~261 [10] Wren C, Azarbayejani A, Darrell T, et al. Pfinder:real-time tracking of the human body [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7):780~785 [11] Grimson W E L, Stauffer C. Adaptive background mixture models for real-time tracking. CVPR, 1999. 23~25