A multi-camera surveillance system that estimates quality-of-view measurement

TitleA multi-camera surveillance system that estimates quality-of-view measurement
Publication TypeJournal Article
Year of Publication2007
AuthorsShen, C. S., C. Zhang, and S. Fels
Journal2007 IEEE International Conference on Image Processing, Vols 1-7
Pagination1321–1324
ISSN1522-4880
Abstract

In this paper, we propose a multi-camera video surveillance system with automatic camera selection. A new confidence measure, Quality-Of-View (QOV), is defined to automatically evaluate the camera's view performance for each time instant. This measure takes into account view angle and distance from subjects. By comparing each camera's QOVs, the system can select the most appropriate cameras to perform specific tasks. We also present an approach to determine the minimum number of cameras and their layout in a convex polygonal room under specific QOV constraints. Finally, we implement an experimental surveillance system, to confirm the stability of our algorithm and validate the critical underlying concepts of QOV.

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