Abstract:Visual tracking is a fundamental task in computer vision. In this paper, we propose an incremental robust local dictionary learning framework to address this problem. We first initialize a dictionary using local low-rank features to represent the appearance subspace for the object. In this way, each candidate can be modeled by the sparse linear representation of the learnt dictionary. Then by incrementally updating the local dictionary and learning sparse representation for the candidate, we build a robust onl… Show more
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