Orderless Tracking through Model-Averaged Posterior Estimation

@article{Hong2013OrderlessTT,
  title={Orderless Tracking through Model-Averaged Posterior Estimation},
  author={Seunghoon Hong and Suha Kwak and Bohyung Han},
  journal={2013 IEEE International Conference on Computer Vision},
  year={2013},
  pages={2296-2303}
}
We propose a novel offline tracking algorithm based on model-averaged posterior estimation through patch matching across frames. Contrary to existing online and offline tracking methods, our algorithm is not based on temporally-ordered estimates of target state but attempts to select easy-to-track frames first out of the remaining ones without exploiting temporal coherency of target. The posterior of the selected frame is estimated by propagating densities from the already tracked frames in a… CONTINUE READING

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