Robust visual tracking based on online learning sparse representation

@article{Zhang2013RobustVT,
  title={Robust visual tracking based on online learning sparse representation},
  author={Shengping Zhang and Hongxun Yao and Huiyu Zhou and Xin Sun and Shaohui Liu},
  journal={Neurocomputing},
  year={2013},
  volume={100},
  pages={31-40}
}
Handling appearance variations is a very challenging problem for visual tracking. Existing methods usually solve this problem by relying on an effective appearance model with two features: (1) being capable of discriminating the tracked target from its background, (2) being robust to the target’s appearance variations during tracking. Instead of integrating… CONTINUE READING

9 Figures & Tables

Topics

Statistics

020402012201320142015201620172018
Citations per Year

110 Citations

Semantic Scholar estimates that this publication has 110 citations based on the available data.

See our FAQ for additional information.