A theoretical analysis of Bayes-optimal multi-target tracking and labelling

@inproceedings{Aoki2011ATA,
  title={A theoretical analysis of Bayes-optimal multi-target tracking and labelling},
  author={Edson Hiroshi Aoki and Arunabha Bagchi and Pranab Kumar Mandal and Yvo Boers},
  year={2011}
}
In multi-target tracking (MTT), we are often interested not only in finding the position of the multiple objects, but also allowing individual objects to be uniquely identified with the passage of time, by placing a label on each track. While there are many MTT algorithms that produce uniquely identified tracks as output, most of them make use of certain heuristics and/or unrealistic assumptions that makes the global result suboptimal of Bayesian sense. An innovative way of performing MTT is… CONTINUE READING
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