Label GM-PHD Filter Based on Threshold Separation Clustering

Gaussian mixture probability hypothesis density (GM-PHD) filtering based on random finite set (RFS) is an effective method to deal with multi-target tracking (MTT). However, the traditional GM-PHD filter cannot form a continuous track in the tracking process, and it is easy to produce a large number...

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Detalles Bibliográficos
Autores principales: Wang, Kuiwu, Zhang, Qin, Hu, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747369/
https://www.ncbi.nlm.nih.gov/pubmed/35009616
http://dx.doi.org/10.3390/s22010070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747369/
https://www.ncbi.nlm.nih.gov/pubmed/35009616
http://dx.doi.org/10.3390/s22010070

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