Robust object tacking based on self-adaptive search area

@inproceedings{Dong2018RobustOT,
  title={Robust object tacking based on self-adaptive search area},
  author={Taihang Dong and Sheng Zhong},
  booktitle={International Symposium on Multispectral Image Processing and Pattern Recognition},
  year={2018}
}
Discriminative correlation filter (DCF) based trackers have recently achieved excellent performance with great computational efficiency. However, DCF based trackers suffer boundary effects, which result in the unstable performance in challenging situations exhibiting fast motion. In this paper, we propose a novel method to mitigate this side-effect in DCF based trackers. We change the search area according to the prediction of target motion. When the object moves fast, broad search area could… 

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