@inproceedings{f65567dd92ad48bbbfe471f94c32a8eb,
title = "Automatic camera selection and fusion for outdoor surveillance under changing weather conditions",
abstract = "An outdoor multi-camera video surveillance system operating under changing weather conditions is presented. A new confidence measure, appearance ratio (AR), is defined to evaluate automatically 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.",
keywords = "Acceleration, Cameras, Filtering, Layout, Mathematics, Sensor phenomena and characterization, Sensor systems, Target tracking, Video surveillance, Videoconference",
author = "L. Snidaro and R. Niu and Varshney, {P. K.} and Foresti, {G. L.}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003 ; Conference date: 21-07-2003 Through 22-07-2003",
year = "2003",
doi = "10.1109/AVSS.2003.1217944",
language = "English (US)",
series = "Proceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "364--369",
booktitle = "Proceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003",
}