TY - GEN
T1 - Optimal visual sensor planning
AU - Zhao, Jian
AU - Cheung, Sen Ching S.
PY - 2009
Y1 - 2009
N2 - Visual sensor networks are becoming more and more common. They have a wide-range of commercial and military applications from video surveillance to smart home and from traffic monitoring to anti-terrorism. The design of such a visual sensor network is a challenging problem due to the complexity of the environment, self and mutual occlusion of moving objects, diverse sensor properties and a myriad of performance metrics for different applications. As such, there is a need to develop a flexible sensor-planning framework that can incorporate all the aforementioned modeling details, and derive the sensor configuration that simultaneously optimizes the target performance and minimizes the cost. In this paper, we tackle this optimal sensor problem by developing a general visibility model for visual sensor networks and solving the optimization problem via Binary Integer Programming (BIP). Our proposed visibility model supports arbitrary-shaped 3D environments and incorporates realistic camera models, occupant traffic models, self occlusion and mutual occlusion. Using this visibility model, a novel BIP algorithms are proposed to find the optimal camera placement for tracking visual tags in multiple cameras. Experimental performance analysis is performed using Monte-Carlo simulations.
AB - Visual sensor networks are becoming more and more common. They have a wide-range of commercial and military applications from video surveillance to smart home and from traffic monitoring to anti-terrorism. The design of such a visual sensor network is a challenging problem due to the complexity of the environment, self and mutual occlusion of moving objects, diverse sensor properties and a myriad of performance metrics for different applications. As such, there is a need to develop a flexible sensor-planning framework that can incorporate all the aforementioned modeling details, and derive the sensor configuration that simultaneously optimizes the target performance and minimizes the cost. In this paper, we tackle this optimal sensor problem by developing a general visibility model for visual sensor networks and solving the optimization problem via Binary Integer Programming (BIP). Our proposed visibility model supports arbitrary-shaped 3D environments and incorporates realistic camera models, occupant traffic models, self occlusion and mutual occlusion. Using this visibility model, a novel BIP algorithms are proposed to find the optimal camera placement for tracking visual tags in multiple cameras. Experimental performance analysis is performed using Monte-Carlo simulations.
UR - http://www.scopus.com/inward/record.url?scp=70350139714&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350139714&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2009.5117711
DO - 10.1109/ISCAS.2009.5117711
M3 - Conference contribution
AN - SCOPUS:70350139714
SN - 9781424438280
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 165
EP - 168
BT - 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
T2 - 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Y2 - 24 May 2009 through 27 May 2009
ER -