A multi-view visual surveillance system based on angle coverage

Authors:
Po-Yu Chen;Hsi-Min Lin;Wen-Tsuen Chen;Yu-Chee Tseng
Affiliations:
National Tsing Hua University, Hsinchu, Taiwan;National Tsing Hua University, Hsinchu, Taiwan;National Tsing Hua University, Hsinchu, Taiwan;National Chiao Tung University, Hsinchu, Taiwan
Venue:
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Year:
2010

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Vision based method for object classification and multiple human activity recognition in video survelliance system

Proceedings of the CUBE International Information Technology Conference

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Abstract

One important goal of surveillance systems is to collect information about the behavior and position of interested targets in the sensing environment. Traditional video surveillance systems usually cannot provide complete information of interested targets since they are limited by single and fixed monitoring directions. Recently, surveillance systems combining wireless sensor networks with video cameras have become more and more popular. In this demonstration, we show a multi-view surveillance system consisting of several rotatable video cameras and objects. By implementing the proposed visual sensor selection algorithm, our system can provide more meaningful information from multiple rotatable cameras.