Improving performance of distribution tracking through background mismatch

@article{Zhang2005ImprovingPO,
  title={Improving performance of distribution tracking through background mismatch},
  author={Tao Zhang and Daniel Freedman},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2005},
  volume={27},
  pages={282-287}
}
This paper proposes a new density matching method based on background mismatching for tracking of nonrigid moving objects. The new tracking method extends the idea behind the original density-matching tracker, which tracks an object by finding a contour in which the photometric density sampled from the enclosed region most closely matches a model density. This method can be quite sensitive to the initial curve placements and model density. The new method eliminates these sensitivities by adding… CONTINUE READING
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