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A Comparative Study of Monte-Carlo Methods for Multitarget Tracking

Abstract : In this paper, we address the problem of tracking an unknown and time varying number of targets and their states from noisy observa- tions available at discrete intervals of time. Attention has recently fo- cused on the role of simulation-based approaches, including Monte Carlo methods, in solving multitarget tracking problem, as these methods are able to perform well for nonlinear and non-Gaussian data models. In this paper, we present a comparative study of several Monte-Carlo methods in terms of estimation quality and complexity.
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Contributor : François Septier Connect in order to contact the contributor
Submitted on : Friday, April 6, 2012 - 12:52:40 PM
Last modification on : Saturday, December 18, 2021 - 3:04:14 AM
Long-term archiving on: : Saturday, July 7, 2012 - 2:36:39 AM


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François Septier, Julien Cornebise, Simon J. Godsill, Yves Delignon. A Comparative Study of Monte-Carlo Methods for Multitarget Tracking. IEEE International Workshop on Statistical Signal Processing, Jun 2011, Nice, France. pp.205-208, ⟨10.1109/SSP.2011.5967660⟩. ⟨hal-00685919⟩



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