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In this paper, we propose a sparse coding tracking algorithm based on the Cartesian product of two sub-codebooks. The original sparse coding problem is decomposed into two sub sparse coding problems. And the dimension of sparse representation is intensively enlarged at a lower computational cost. Furthermore, in order to reduce the number of L 1 -norm minimization, ridge regression is employed...
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