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Tracking Objects Across Uncalibrated Arbitary Topology Camera Networks

Bowden, R, Gilbert, A and KaewTraKulPong, P (2006) Tracking Objects Across Uncalibrated Arbitary Topology Camera Networks In: Intelligent Distributed Video Surveillance Systems. Institution of Engineering and Technology, Stevenage, United Kingdom, pp. 157-182. ISBN 9780863415043

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Abstract

Intelligent visual surveillance is an important application area for computer vision. In situations where networks of hundreds of cameras are used to cover a wide area, the obvious limitation becomes the users’ ability to manage such vast amounts of information. For this reason, automated tools that can generalise about activities or track objects are important to the operator. Key to the users’ requirements is the ability to track objects across (spatially separated) camera scenes. However, extensive geometric knowledge about the site and camera position is typically required. Such an explicit mapping from camera to world is infeasible for large installations as it requires that the operator know which camera to switch to when an object disappears. To further compound the problem the installation costs of CCTV systems outweigh those of the hardware. This means that geometric constraints or any form of calibration (such as that which might be used with epipolar constraints) is simply not realistic for a real world installation. The algorithms cannot afford to dictate to the installer. This work attempts to address this problem and outlines a method to allow objects to be related and tracked across cameras without any explicit calibration, be it geometric or colour.

Item Type: Book Section
Subjects : Computing
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Bowden, RUNSPECIFIEDUNSPECIFIED
Gilbert, AUNSPECIFIEDUNSPECIFIED
KaewTraKulPong, PUNSPECIFIEDUNSPECIFIED
Date : 14 February 2006
Copyright Disclaimer : © 2006 Institution of Electrical Engineers
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 26 Oct 2016 13:25
Last Modified : 26 Oct 2016 13:25
URI: http://epubs.surrey.ac.uk/id/eprint/812624

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