Incremental robust local dictionary learning for visual tracking

@article{Bai2014IncrementalRL,
  title={Incremental robust local dictionary learning for visual tracking},
  author={Shanshan Bai and Risheng Liu and Zhixun Su and Changcheng Zhang and Wei Jin},
  journal={2014 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2014},
  pages={1-6}
}
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