Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target tracking

@article{Granstrm2016GammaGI,
  title={Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target tracking},
  author={Karl Granstr{\"o}m and Maryam Fatemi and Lennart Svensson},
  journal={2016 19th International Conference on Information Fusion (FUSION)},
  year={2016},
  pages={893-900}
}
This paper presents a gamma-Gaussian-inverse Wishart (GGIW) implementation of a Poisson multi-Bernoulli mixture (PMBM) filter for multiple extended target tracking. The GGIW density is the single extended target conjugate prior assuming a Poisson distributed number of Gaussian distributed measurements, and the PMBM density is the multi-object conjugate prior assuming Poisson target measurements, Poisson clutter, and Poisson target birth. Specifically, the Poisson part of the GGIW-PMBM multi… CONTINUE READING

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