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The correlation filter based trackers have drawn much attention due to their encouraging performance on precision, robustness and speed. In this paper, we introduce the spatial regularization component into the ridge regression model used by classical kernelized correlation filter (KCF) to improve its performance. It overcomes the fact that the traditional KCF does not consider the prior spatial constraint...
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