Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/58011
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Type: Conference paper
Title: Automatic camera placement for large scale surveillance networks
Author: Van Den Hengel, A.
Hill, R.
Ward, B.
Cichowski, A.
Detmold, H.
Madden, C.
Dick, A.
Bastian, J.
Citation: Proceedings of WACV 2009, held in Snowbird, Utah 7-8 December 2009: pp.1-6
Publisher: IEEE
Publisher Place: USA
Issue Date: 2009
ISBN: 9781424454983
Conference Name: Workshop on Applications for Computer Vision (2009 : Utah, USA)
Statement of
Responsibility: 
Anton Van den Hengel, Rhys Hill, Ben Ward, Alex Cichowski, Henry Detmold, Chris Madden, Anthony Dick, and John Bastian
Abstract: Automatic placement of surveillance cameras in arbitrary buildings is a challenging task, and also one that is essential for efficient deployment of large scale surveillance networks. Existing approaches for automatic camera placement are either limited to a small number of cameras, or constrained in terms of the building layouts to which they can be applied. This paper describes a new method for determining the best placement for large numbers of cameras within arbitrary building layouts. The method takes as input a 3D model of the building, and uses a genetic algorithm to find a placement that optimises coverage and (if desired) overlap between cameras. Results are reported for an implementation of the method, including its application to a wide variety of complex buildings, both real and synthetic.
Rights: ©2009 IEEE
RMID: 0020096288
DOI: 10.1109/WACV.2009.5403076
Published version: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5398686
Appears in Collections:Computer Science publications

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