Split and merge data association filter for dense multi-target tracking

@article{Genovesio2004SplitAM,
  title={Split and merge data association filter for dense multi-target tracking},
  author={Auguste Genovesio and Jean-Christophe Olivo-Marin},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  year={2004},
  volume={4},
  pages={677-680 Vol.4}
}
Bayesian target tracking methods consist in filtering successive measurements coming from a detector. In the presence of clutter or multiple targets, the filter must be coupled with an association procedure. The classical Bayesian multitarget tracking methods rely on the hypothesis that a target can generate at most one measurement per scan and that a measurement originates from at most one target. When tracking a high number of deformable sources, the previous assumptions are often not met… CONTINUE READING
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