Minimum error bounded efficient ℓ1 tracker with occlusion detection

@article{Mei2011MinimumEB,
  title={Minimum error bounded efficient ℓ1 tracker with occlusion detection},
  author={Xue Mei and Haibin Ling and Yi Wu and Erik Blasch and Li Bai},
  journal={CVPR 2011},
  year={2011},
  pages={1257-1264}
}
Recently, sparse representation has been applied to visual tracking to find the target with the minimum reconstruction error from the target template subspace. Though effective, these L1 trackers require high computational costs due to numerous calculations for ℓ1 minimization. In addition, the inherent occlusion insensitivity of the ℓ1 minimization has not been fully utilized. In this paper, we propose an efficient L1 tracker with minimum error bound and occlusion detection which we call… CONTINUE READING
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