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https://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 |
DOI: | 10.1109/WACV.2009.5403076 |
Published version: | http://dx.doi.org/10.1109/wacv.2009.5403076 |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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