A Particle Marginal Metropolis-Hastings Multi-Target Tracker

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A Particle Marginal Metropolis-Hastings Multi-Target Tracker

We propose a Bayesian multi-target batch processing algorithm capable of tracking an unknown number of targets that move close and/or cross each other in a dense clutter environment. The optimal Bayes multitarget tracking problem is formulated in the random finite set framework and a particle margin...

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Bibliographic Details
Main Authors:	Vu, T., Vo, Ba-Ngu, Evans, R.
Format:	Journal Article
Published:	IEEE 2014
Online Access:	http://hdl.handle.net/20.500.11937/34528

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