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Target Modeling with Color Arrangement for Region-Based Object Tracking  

Kim, Dae-Hwan (School of Electrical Engineering, Korea University)
Lee, Seung-Jun (School of Electrical Engineering, Korea University)
Ko, Sung-Jea (School of Electrical Engineering, Korea University)
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Abstract
In this paper, we propose a new class of color histogram model suitable for object tracking. In addition to the pixel count, each bin of the proposed model also contains the spatial mean and the average value of the pixels located at a certain distance from the mean location of the bin. Using the proposed color histogram model, we derive a mean shift procedure using the modified Bhattacharyya distance. Unlike most mean shift based methods, our algorithm performs well even when the object being tracked shares similar colors with the background. Experimental results demonstrate improved tracking performance over existing methods.
Keywords
histogram; mean shift; spatiogram;
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