Optimal visual sensor planning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations


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.

Original languageEnglish
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Number of pages4
StatePublished - 2009
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan, Province of China
Duration: May 24 2009May 27 2009

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310


Conference2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Country/TerritoryTaiwan, Province of China

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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