Xueliang Zhan

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Visual tracking remains a challenging problem because of both intrinsic appearance variability of object and extrinsic disturbance. To deal with this problem, we present a novel approach for tracking based on the tensor features. We convert the image into tensor field to yield more discriminating features and encode the target appearance probabilistically(More)
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