A Robust Object Tracking Approach with a Composite Similarity Measure

How to achieve a robust performance remains an intractable problem in the various object tracking algorithms due to some unfavorable factors, e.g. occlusions, appearance change, etc. In this paper, a robust object tracking approach is proposed based on a composite similarity measure. Experimental results on several challenging sequences demonstrate the effectiveness and feasibility of the proposed method.

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