Marginal multi-Bernoulli filters ( extended version )

@inproceedings{Williams2014MarginalMF,
  title={Marginal multi-Bernoulli filters ( extended version )},
  author={Jason L. Williams},
  year={2014}
}
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
Recent Discussions
This paper has been referenced on Twitter 8 times over the past 90 days. VIEW TWEETS

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 40 references

Multitarget Bayes filtering via first-order multitarget moments

  • R.P.S. Mahler
  • IEEE Trans. Aerosp. Electron. Syst., vol. 39, no…
  • 2003
Highly Influential
20 Excerpts

An algorithm for tracking multiple targets

  • D. B. Reid
  • IEEE Trans. Autom. Control, vol. AC-24, no. 6, pp…
  • 1979
Highly Influential
15 Excerpts

Similar Papers

Loading similar papers…