Owens, Jonathan, Hunter, Andrew and Fletcher, Eric
(2002)
A fast model-free morphology-based object tracking algorithm.
In: British Machine Vision Conference 2002, 2nd-5th September 2002, University of Cardiff.
Full content URL: http://www.bmva.ac.uk/bmvc/2002/
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Item Type: | Conference or Workshop contribution (Paper) |
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Item Status: | Live Archive |
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Abstract
This paper describes the multiple object tracking component of an automated CCTV surveillance system. The system tracks objects, and alerts the operator if unusual trajectories are discovered. Objects are detected by background differencing. Low contrast levels can present problems, leading to poor object segmentation and fragmentation, particularly on older analogue surveillance networks. The model-free tracking algorithm described in this paper
addresses object fragmentation, and the object merging that occurs when proximate objects segment to the same connected component.
Additional Information: | This paper describes the multiple object tracking component of an automated CCTV surveillance system. The system tracks objects, and alerts the operator if unusual trajectories are discovered. Objects are detected by background differencing. Low contrast levels can present problems, leading to poor object segmentation and fragmentation, particularly on older analogue surveillance networks. The model-free tracking algorithm described in this paper
addresses object fragmentation, and the object merging that occurs when proximate objects segment to the same connected component. |
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Keywords: | Algorithm, surveillance, Computer vision |
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Subjects: | G Mathematical and Computer Sciences > G760 Machine Learning |
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Divisions: | College of Science > School of Computer Science |
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ID Code: | 1909 |
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Deposited On: | 23 Jun 2009 14:32 |
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