Title :
Toward building a robust and intelligent video surveillance system: a case study
Author :
Chang, Edward Y. ; Wang, Yuan-Fang ; Wang, I-Jeng
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA
Abstract :
With the proliferation of inexpensive cameras, availability of large-capacity disk storage, and the ubiquitous presence of high-speed, broad-band communication networks, it is now economically and technically feasible to construct and deploy multi-camera video surveillance systems. In line with this is the need of intelligent, robust, (semi-)automated video analysis paradigms to assist the operators in scene analysis and event classification. In this paper, we summarize our current research work toward realizing such a multi-camera video surveillance system. Interested readers can visit our web sites http://www.ece.ucsb.edu/~echang and http://www.cs.ucsb.edu/ ~yfwang for more information
Keywords :
classification; feature extraction; sensor fusion; surveillance; video signal processing; data fusion; event classification; motion trajectory extraction; multiple camera event recognition; multiple camera video surveillance systems; robust intelligent video surveillance system; scene analysis; semi-automated video analysis; Cameras; Computer aided software engineering; Hardware; Intelligent structures; Intelligent systems; Pervasive computing; Robustness; Streaming media; Training data; Video surveillance;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394491