Automatic camera selection and fusion for outdoor surveillance under changing weather conditions

Author

Snidaro, L. ; Niu, R. ; Varshney, P.K. ; Foresti, G.L.

Author_Institution

Dept. of Math. & Comput. Sci., Udine Univ., Italy

fYear

2003

fDate

21-22 July 2003

Firstpage

364

Lastpage

369

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

object detection; optical tracking; sensor fusion; surveillance; target tracking; video signal processing; appearance ratio; automatic camera fusion; automatic camera selection; changing weather conditions; confidence measure; data fusion; multi-camera video surveillance system; object tracking; outdoor surveillance; target tracking; weighted fusion; weighted measurement fusion; Acceleration; Cameras; Filtering; Layout; Mathematics; Sensor phenomena and characterization; Sensor systems; Target tracking; Video surveillance; Videoconference;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Video and Signal Based Surveillance, 2003. Proceedings. IEEE Conference on

Print_ISBN

0-7695-1971-7

Type

conf

DOI

10.1109/AVSS.2003.1217944

Filename

1217944