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Abstract
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Article Information:
Visual Multi-Object Tracking in the Presence of Cluttered Scenes
Xu-Sheng Gan and Yi Wang
Corresponding Author: Yi Wang
Submitted: December 3, 2012
Accepted: January 17, 2013
Published: July 30, 2013 |
Abstract:
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The aim of this study was to investigate the visual multi-object tracking in the presence of cluttered scenes. A improved algorithm of fusing multi-source information including location and color evidences were introduced based on Dezert-Smarandache Theory (DSmT) and Particle Filters (PF). Results showed that the conflict strategy and DSmT combination model were available and the proposed approach exhibited a significantly better performance for dealing with high conflict between evidences than a conventional PF. The suggested approach can easily be generalized to deal with larger number of visual multi-object and additional cues in the presence of cluttered scenes.
Key words: Combination method, DSmT, multi-object, PF, , ,
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Abstract
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Cite this Reference:
Xu-Sheng Gan and Yi Wang, . Visual Multi-Object Tracking in the Presence of Cluttered Scenes. Research Journal of Applied Sciences, Engineering and Technology, (12): 2131-2135.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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