Toward building a robust and intelligent video surveillance system: A case study

被引：0

作者：

Chang, EY ^{[1
]}

Wang, YF ^{[1
]}

Wang, IJ ^{[1
]}

机构：

[1] Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXP (ICME), VOLS 1-3 | 2004年

关键词：

D O I：

10.1109/ICME.2004.1394491

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the proliferation of inexpensive cameras, availability of large-capacity disk storages, and 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/(similar to)echang and http://www.cs.ucsb.edu/(similar to)yfwang for more information.

引用

页码：1391 / 1394

页数：4

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