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Eighth IEEE Workshop on Applications of Computer Vision (WACV'07)
Building Adaptive Camera Models for Video Surveillance
Austin, Texas
February 21-February 22
ISBN: 0-7695-2794-9
James W. Davis, Ohio State University
Alexander M. Morison, Ohio State University
David D. Woods, Ohio State University
We address the limited automatic scanning functionality of standard PTZ camera systems. We present an adaptive, scene-specific model using standard PTZ camera hardware. The adaptive model is constructed automatically by detect- ing human activity in Motion History Images (MHIs) us- ing an iterative candidacy-classification-reduction process. The target motion is quantified and employed in the con- struction of a global Activity Map, which in turn is used to direct or navigate the camera.
Citation:
James W. Davis, Alexander M. Morison, David D. Woods, "Building Adaptive Camera Models for Video Surveillance," wacv, pp.34, Eighth IEEE Workshop on Applications of Computer Vision (WACV'07), 2007
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