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An Unbalanced Weighted Sequential Fusing Multi-Sensor GM-PHD Algorithm

In this paper, we study the multi-sensor multi-target tracking problem in the formulation of random finite sets. The Gaussian Mixture probability hypothesis density (GM-PHD) method is employed to formulate the sequential fusing multi-sensor GM-PHD (SFMGM-PHD) algorithm. First, the GM-PHD is applied...

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Detalles Bibliográficos
Autores principales:	Shen-Tu, Han, Qian, Hanming, Peng, Dongliang, Guo, Yunfei, Luo, Ji-An
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359048/ https://www.ncbi.nlm.nih.gov/pubmed/30658455 http://dx.doi.org/10.3390/s19020366

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