Corpus ID: 17788127

Hybrid Poisson and multi-Bernoulli filters

@article{Williams2012HybridPA,
  title={Hybrid Poisson and multi-Bernoulli filters},
  author={Jason L. Williams},
  journal={2012 15th International Conference on Information Fusion},
  year={2012},
  pages={1103-1110}
}
  • Jason L. Williams
  • Published 2012
  • Computer Science, Mathematics
  • 2012 15th International Conference on Information Fusion
The probability hypothesis density (PHD) and multitarget multi-Bernoulli (MeMBer) filters are two leading algorithms that have emerged from random finite sets (RFS). In this paper we study a method which combines these two approaches. Our work is motivated by a recent paper, which proves that the full Bayes RFS filter naturally incorporates a Poisson component representing targets that have never been detected, and a linear combination of multi-Bernoulli components representing targets under… Expand
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