Incremental robust local dictionary learning for visual tracking

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… CONTINUE READING