Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking

@article{Mihaylova2014OverviewOB,
  title={Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking},
  author={Lyudmila Mihaylova and Avishy Carmi and François Septier and Amadou Gning and Sze Kim Pang and Simon J. Godsill},
  journal={Digital Signal Processing},
  year={2014},
  volume={25},
  pages={1-16}
}
a University of Sheffield, Department of Automatic Control and Systems Engineering, Mappin Street, Sheffield S1 3JD, United Kingdom b Ben-Gurion University of the Negev, Department of Mechanical Engineering, Beer-Sheba 8410501, Israel c Institut Mines-Télécom / Télécom Lille 1 / LAGIS UMR CNRS 8219, Cité Scientifique, Rue Guglielmo Marconi, BP 20145, 59653 Villeneuve d’Ascq Cedex, France d University College London, Computer Science Department, United Kingdom e DSO, Singapore f University of… CONTINUE READING
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Extended object tracking using PHD filters

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