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

Internet

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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