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Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity.

Bennett, B., Magee, D.R., Cohn, AG and Hogg, D.C. (2008) Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity. Image & Vision Computing, 26 (1). pp. 67-81. ISSN 0262-8856

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A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three elements; an object tracker module, an object recognition/classification module and a logical consistency, ambiguity and error reasoning engine. The principle behind the object tracker and object recognition modules is to reduce error by increasing ambiguity (by merging objects in close proximity and presenting multiple hypotheses). The reasoning engine deals with error, ambiguity and occlusion in a unified framework to produce a hypothesis that satisfies fundamental constraints on the spatio-temporal continuity of objects. Our algorithm finds a globally consistent model of an extended video sequence that is maximally supported by a voting function based on the output of a statistical classifier. The system results in an annotation that is significantly more accurate than what would be obtained by frame-by-frame evaluation of the classifier output. The framework has been implemented and applied successfully to the analysis of team sports with a single camera. Key words: Visual

Item Type: Article
Keywords: Visual Surveillance, Spatial Reasoning, Temporal Reasoning, Resolving Ambiguity, Continuity
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Mrs Irene Rudling
Date Deposited: 19 Feb 2009 10:42
Last Modified: 24 Apr 2016 04:21
Published Version: http://dx.doi.org/10.1016/j.imavis.2005.08.012
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.imavis.2005.08.012
URI: http://eprints.whiterose.ac.uk/id/eprint/7824

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