Visual Tracking by Sampling Tree-Structured Graphical Models

@inproceedings{Hong2014VisualTB,
  title={Visual Tracking by Sampling Tree-Structured Graphical Models},
  author={Seunghoon Hong and Bohyung Han},
  booktitle={ECCV},
  year={2014}
}
Probabilistic tracking algorithms typically rely on graphical models based on the first-order Markov assumption. Although such linear structure models are simple and reasonable, it is not appropriate for persistent tracking since temporal failures by short-term occlusion, shot changes, and appearance changes may impair the remaining frames significantly. More general graphical models may be useful to exploit the intrinsic structure of input video and improve tracking performance. Hence, we… CONTINUE READING
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