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https://hdl.handle.net/2440/41826
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Type: | Conference paper |
Title: | Finding camera overlap in large surveillance networks |
Author: | Van Den Hengel, A. Dick, A. Detmold, H. Cichowski, A. Hill, R. |
Citation: | Computer Vision – ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007: Proceedings, Part I / Yasushi Yagi, Sing Bing Kang, In So Kweon, Hongbin Zha (eds.): pp.375-384 |
Publisher: | Springer |
Publisher Place: | Germany |
Issue Date: | 2007 |
Series/Report no.: | Lecture notes in computer science ; 4843-4844 |
ISBN: | 9783540763857 |
ISSN: | 0302-9743 1611-3349 |
Conference Name: | Asian Conference on Computer Vision (8th : 2007 : Tokyo, Japan) |
Editor: | Yasushi Yagi, |
Statement of Responsibility: | Anton van den Hengel, Anthony Dick, Henry Detmold, Alex Cichowski and Rhys Hill |
Abstract: | Recent research on video surveillance across multiple cameras has typically focused on camera networks of the order of 10 cameras. In this paper we argue that existing systems do not scale to a network of hundreds, or thousands, of cameras. We describe the design and deployment of an algorithm called exclusion that is specifically aimed at finding correspondence between regions in cameras for large camera networks. The information recovered by exclusion can be used as the basis for other surveillance tasks such as tracking people through the network, or as an aid to human inspection. We have run this algorithm on a campus network of over 100 cameras, and report on its performance and accuracy over this network. © Springer-Verlag Berlin Heidelberg 2007. |
DOI: | 10.1007/978-3-540-76386-4_35 |
Published version: | http://www.springerlink.com/content/r6806u380875m63m/ |
Appears in Collections: | Aurora harvest 6 Computer Science publications |
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