Fast Visual Tracking via Dense Spatio-temporal Context Learning

@inproceedings{Zhang2014FastVT,
  title={Fast Visual Tracking via Dense Spatio-temporal Context Learning},
  author={Kaihua Zhang and Lei Zhang and Qingshan Liu and Dongxiao Zhang and Ming-Hsuan Yang},
  booktitle={ECCV},
  year={2014}
}
In this paper, we present a simple yet fast and robust algorithm which exploits the dense spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its locally dense contexts in a Bayesian framework, which models the statistical correlation between the simple low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is then posed by computing a… CONTINUE READING
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