DocumentCode :
2068734
Title :
Multi-camera Control through Constraint Satisfaction for Persistent Surveillance
Author :
Qureshi, Faisal Z. ; Terzopoulos, Demetri
Author_Institution :
Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON, Canada
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
211
Lastpage :
218
Abstract :
We introduce a distributed camera coalition formation scheme for perceptive scene coverage and persistent surveillance by smart camera sensor networks. The proposed model supports task-dependent camera selection and grouping via a "contract net" task allocation protocol augmented with conflict resolution and error recovery mechanisms. Our technique avoids any central controller, and it is robust to node failures and imperfect communication. In the design and empirical evaluation of our camera networks, we exploit a visually and behaviorally realistic virtual environment simulator that is populated by autonomous, lifelike virtual pedestrians.
Keywords :
image sensors; intelligent sensors; sensor fusion; video surveillance; virtual reality; constraint satisfaction; distributed camera coalition formation scheme; error recovery mechanisms; multicamera control; perceptive scene coverage; persistent surveillance; smart camera sensor networks; task allocation protocol; virtual environment simulator; virtual pedestrians; Centralized control; Communication system control; Contracts; Intelligent sensors; Layout; Protocols; Robust control; Smart cameras; Surveillance; Virtual environment; Virtual vision; camera networks; multi-camera systems; surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE Fifth International Conference on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-0-7695-3341-4
Electronic_ISBN :
978-0-7695-3422-0
Type :
conf
DOI :
10.1109/AVSS.2008.37
Filename :
4730414
Link To Document :
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