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2013 (Vol. 6, Issue: 12)
Article Information:

Visual Multi-Object Tracking in the Presence of Cluttered Scenes

Xu-Sheng Gan and Yi Wang
Corresponding Author:  Yi Wang 

Key words:  Combination method, DSmT, multi-object, PF, , ,
Vol. 6 , (12): 2131-2135
Submitted Accepted Published
December 3, 2012 January 17, 2013 July 30, 2013

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.
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  Cite this Reference:
Xu-Sheng Gan and Yi Wang, 2013. Visual Multi-Object Tracking in the Presence of Cluttered Scenes.  Research Journal of Applied Sciences, Engineering and Technology, 6(12): 2131-2135.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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