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In the field of visual object tracking, partial occlusion and the variation of illumination, pose and background are the core problems to be handled. More and more visual tracking methods tend to exploit part or local features to deal with the above problems. However, single local features may lead to overfitting and drifting problem, as will cause the failure of tracking task. In this paper, we propose...
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