Bayesian multi-target tracking with merged measurements using labelled random finite sets

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Bayesian multi-target tracking with merged measurements using labelled random finite sets

Most tracking algorithms in the literature assume that the targets always generate measurements independently of each other, i.e., the sensor is assumed to have infinite resolution. Such algorithms have been dominant because addressing the presence of merged measurements increases the computational...

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Bibliographic Details
Main Authors:	Beard, M., Vo, Ba Tuong, Vo, Ba-Ngu
Format:	Journal Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2015
Online Access:	http://hdl.handle.net/20.500.11937/28547

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