Particle filter for extracting target label information when targets move in close proximity

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Particle filter for extracting target label information when targets move in close proximity

This paper addresses the problem of approximating the posterior probability density function of two targets after a crossing from the Bayesian perspective such that the information about target labels is not lost. To this end, we develop a particle filter that is able to maintain the inherent multim...

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Bibliographic Details
Main Authors:	Garcia Fernandez, Angel, Morelande, M., Grajal, J.
Format:	Conference Paper
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/53912

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