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A fast model-free morphology-based object tracking algorithm

By Jonathan Owens, Andrew Hunter and Eric Fletcher

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\ud addresses object fragmentation, and the object merging that occurs when proximate objects segment to the same connected component

Topics: G760 Machine Learning
Year: 2002
DOI identifier: 10.1109/TMI.2004.830524
OAI identifier: oai:eprints.lincoln.ac.uk:1909

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