Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate

Knowledge of the clutter rate is of critical importance in multi-target Bayesian tracking. However, estimating the clutter rate is a difficult problem in practice. In this paper, an improved multi-Bernoulli filter based on random finite sets for multi-target Bayesian tracking accommodating non-linea...

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Detalhes bibliográficos

Principais autores:	Changshun Yuan, Jun Wang, Peng Lei, Yanxian Bi, Zhongsheng Sun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2015-12-01
coleção:	Sensors
Assuntos:	multi-Bernoulli filter random finite set multi-target tracking amplitude information clutter rate estimation sequential Monte-Carlo
Acesso em linha:	http://www.mdpi.com/1424-8220/15/12/29804
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