Marginal multi-Bernoulli filters ( extended version )

  title={Marginal multi-Bernoulli filters ( extended version )},
  author={Jason L. Williams},
Random finite sets (RFSs) has been a fruitful area of research in recent years, yielding new approximate methods for multiple target tracking such as the probability hypothesis density (PHD), cardinalised PHD (CPHD), and multiple target multi-Bernoulli (MeMBer) filters. These new approaches have largely been based on approximations that side-step the need for measurement-to-track association in order to maintain tractability. In this paper, we derive a conjugate prior form for the full Bayes… CONTINUE READING
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