Metric Learning Based Structural Appearance Model for Robust Visual Tracking

@article{Wu2014MetricLB,
  title={Metric Learning Based Structural Appearance Model for Robust Visual Tracking},
  author={Yuwei Wu and Bo Ma and Min Yang and Jian Zhang and Yunde Jia},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2014},
  volume={24},
  pages={865-877}
}
Appearance modeling is a key issue for the success of a visual tracker. Sparse representation based appearance modeling has received an increasing amount of interest in recent years. However, most of existing work utilizes reconstruction errors to compute the observation likelihood under the generative framework, which may give poor performance, especially for significant appearance variations. In this paper, we advocate an approach to visual tracking that seeks an appropriate metric in the… CONTINUE READING

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