On the statistical determination of optimal camera configurations in large scale surveillance networks

Liu, Junbin, Fookes, Clinton B., Wark, Tim, & Sridharan, Sridha (2012) On the statistical determination of optimal camera configurations in large scale surveillance networks. In Computer Vision : ECCV 2012 : 12th European Conference on Computer Vision, Proceedings, Part 1, Springer-Verlag, Florence, Italy, pp. 44-57.

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Abstract

The selection of optimal camera configurations (camera locations, orientations etc.) for multi-camera networks remains an unsolved problem. Previous approaches largely focus on proposing various objective functions to achieve different tasks. Most of them, however, do not generalize well to large scale networks. To tackle this, we introduce a statistical formulation of the optimal selection of camera configurations as well as propose a Trans-Dimensional Simulated Annealing (TDSA) algorithm to effectively solve the problem. We compare our approach with a state-of-the-art method based on Binary Integer Programming (BIP) and show that our approach offers similar performance on small scale problems. However, we also demonstrate the capability of our approach in dealing with large scale problems and show that our approach produces better results than 2 alternative heuristics designed to deal with the scalability issue of BIP.

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ID Code: 57846
Item Type: Conference Paper
Refereed: Yes
Additional Information: The proceedings were published in the Springer series, Lecture Notes in Computer Science.
Keywords: camera placement, optimization, resersible jump Markov chain Monte Carlo, simulated annealing
DOI: 10.1007/978-3-642-33718-5_4
ISBN: 9783642337178
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Springer-Verlag Berlin Heidelberg
Copyright Statement: This is the author-version of the work.
Conference proceedings published by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/
Deposited On: 07 Mar 2013 01:32
Last Modified: 21 Mar 2013 10:27

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