Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking

  title={Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking},
  author={E. B. Fox and D. S. Choi and A. S. Willsky},
  journal={2006 Fortieth Asilomar Conference on Signals, Systems and Computers},
We consider the problem of data association for multi-target tracking in the presence of an unknown number of targets. For this application, inference in models which place parametric priors on large numbers of targets becomes computationally intractable. As an alternative to parametric models, we explore the utility of nonparametric Bayesian methods, specifically Dirichlet processes, which allow us to put a flexible, data-driven prior on the number of targets present in our observations… CONTINUE READING
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and D

  • Y. Teh, M. Jordan, M. Beal
  • Blei, "Hierarchical dirichlet processes," to…
  • 2006

Optimal Filtering

  • B. Anderson, J. Moore
  • Dover Publications
  • 2005
1 Excerpt

Design and Analysis of Modern Tracking Systems

  • s. Blackman, F. Popoli
  • 1999
1 Excerpt

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