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|Title:||Automatic camera placement for large scale surveillance networks|
|Author:||Van Den Hengel, A.|
|Citation:||Proceedings of WACV 2009, held in Snowbird, Utah 7-8 December 2009: pp.1-6|
|Conference Name:||Workshop on Applications for Computer Vision (2009 : Utah, USA)|
|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.|
|Appears in Collections:||Computer Science publications|
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