Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Camera network topology estimation by lighting variation|
Van Den Hengel, A.
|Citation:||Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015, pp.238-243|
|Conference Name:||2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, Australia)|
|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|
|Appears in Collections:||Aurora harvest 3|
Computer Science publications
Files in This Item:
|Restricted Access||437.59 kB||Adobe PDF||View/Open|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.