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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.
Cited literature [15 references]
https://hal-imt.archives-ouvertes.fr/hal-00685919
Contributor : François Septier <>
Submitted on : Friday, April 6, 2012 - 12:52:40 PM
Last modification on : Friday, December 18, 2020 - 5:30:02 PM
Long-term archiving on: : Saturday, July 7, 2012 - 2:36:39 AM
Contributor : François Septier <>
Submitted on : Friday, April 6, 2012 - 12:52:40 PM
Last modification on : Friday, December 18, 2020 - 5:30:02 PM
Long-term archiving on: : Saturday, July 7, 2012 - 2:36:39 AM
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SSP_2011Finale.pdf
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