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http://dx.doi.org/10.5909/JBE.2010.15.2.236

Object Tracking Algorithm Using Weighted Color Centroids Shifting  

Choi, Eun-Cheol (Institude of TMS information technology, Yonsei university)
Lee, Suk-Ho (Division of computer and information engineering, Dongseo university)
Kang, Moon-Gi (Institude of TMS information technology, Yonsei university)
Publication Information
Journal of Broadcast Engineering / v.15, no.2, 2010 , pp. 236-247 More about this Journal
Abstract
Recently, mean shift tracking algorithms have been proposed which use the information of color histogram together with some spatial information provided by the kernel. In spite of their fast speed, the algorithms are suffer from an inherent instability problem which is due to the use of an isotropic kernel for spatiality and the use of the Bhattacharyya coefficient as a similarity function. In this paper, we analyze how the kernel and the Bhattacharyya coefficient can arouse the instability problem. Based on the analysis, we propose a novel tracking scheme that uses a new representation of the location of the target which is constrained by the color, the area, and the spatiality information of the target in a more stable way than the mean shift algorithm. With this representation, the target localization in the next frame can be achieved by one step computation, which makes the tracking stable, even in difficult situations such as low-rate-frame environment, and partial occlusion.
Keywords
tracking; mean shift; color; centroid low-rate-frame; Bhattacharyya coefficient; isotropic kernel;
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