Finding camera overlap in large surveillance networks
Date
2007
Authors
Van Den Hengel, A.
Dick, A.
Detmold, H.
Cichowski, A.
Hill, R.
Editors
Yasushi Yagi,
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
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
Statement of Responsibility
Anton van den Hengel, Anthony Dick, Henry Detmold, Alex Cichowski and Rhys Hill
Conference Name
Asian Conference on Computer Vision (8th : 2007 : Tokyo, Japan)
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.