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2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03)
Automatic Camera Selection and Fusion for Outdoor Surveillance under Changing Weather Conditions
Miami, Florida
July 21-July 22
ISBN: 0-7695-1971-7
L. Snidaro, University of Udine
R. Niu, Syracuse University
P. K. Varshney, Syracuse University
G. L. Foresti, University of Udine
In this paper, an outdoor multi-camera video surveillance system operating under changing weather conditions is presented. A new confidence measure, Appearance Ratio (AR), is defined to automatically evaluate the sensors? performance for each time instant. By comparing their ARs, the system can select the most appropriate cameras to perform specific tasks. When redundant measurements are available for a target, the AR measures are used to perform a weighted fusion of them. Experimental results are presented on outdoor scenes under different weather conditions.
Citation:
L. Snidaro, R. Niu, P. K. Varshney, G. L. Foresti, "Automatic Camera Selection and Fusion for Outdoor Surveillance under Changing Weather Conditions," avss, pp.364, 2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03), 2003
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