Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/107733
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Type: Conference paper
Title: Camera network topology estimation by lighting variation
Author: Zhu, M.
Dick, A.
Van Den Hengel, A.
Citation: Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015 / pp.238-243
Publisher: IEEE
Issue Date: 2015
ISBN: 9781467367950
Conference Name: 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, Australia)
Statement of
Responsibility: 
Michael Zhu, Anthony Dick, Anton van den Hengel
Abstract: The goal of this paper is to find connections between cameras in a large surveillance network. As a proxy for camera pairs whose fields of view overlap spatially, we find pairs that are affected by a common light source. We propose multiple measures of lighting variation and show that we can reliably detect nearby cameras even without direct overlap. The relationships discovered by our process can be used for problems such as automated tracking and re-identification across large camera networks. We demonstrate our method on a campus network of 20 and 26 cameras and evaluate its accuracy and performance.
Keywords: Surveillance cameras, topology estimation, lighting variation, camera direct-overlap, camera light-overlap
Rights: © 2015 IEEE
RMID: 0030046938
DOI: 10.1109/DICTA.2015.7371245
Appears in Collections:Computer Science publications

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