DocumentCode
1818241
Title
Building Adaptive Camera Models for Video Surveillance
Author
Davis, James W. ; Morison, Alexander M. ; Woods, David D.
Author_Institution
Ohio State Univ., Columbus, OH
fYear
2007
fDate
Feb. 2007
Firstpage
34
Lastpage
34
Abstract
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 detecting human activity in motion history images (MHIs) using an iterative candidacy-classification-reduction process. The target motion is quantified and employed in the construction of a global activity map, which in turn is used to direct or navigate the camera
Keywords
adaptive systems; cameras; image motion analysis; video surveillance; adaptive camera models; automatic scanning functionality; global activity map; human activity detection; iterative candidacy-classification-reduction; motion history images; standard PTZ camera systems; video surveillance; Anthropometry; Cameras; Focusing; History; Humans; Layout; Motion detection; Navigation; Security; Video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Computer Vision, 2007. WACV '07. IEEE Workshop on
Conference_Location
Austin, TX
ISSN
1550-5790
Print_ISBN
0-7695-2794-9
Electronic_ISBN
1550-5790
Type
conf
DOI
10.1109/WACV.2007.16
Filename
4118763
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