Adaptive Collaborative Gaussian Mixture Probability Hypothesis Density Filter for Multi-Target Tracking

In this paper, an adaptive collaborative Gaussian Mixture Probability Hypothesis Density (ACo-GMPHD) filter is proposed for multi-target tracking with automatic track extraction. Based on the evolutionary difference between the persistent targets and the birth targets, the measurements are adaptivel...

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Detalles Bibliográficos
Autores principales: Yang, Feng, Wang, Yongqi, Chen, Hao, Zhang, Pengyan, Liang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087454/
https://www.ncbi.nlm.nih.gov/pubmed/27727177
http://dx.doi.org/10.3390/s16101666

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087454/
https://www.ncbi.nlm.nih.gov/pubmed/27727177
http://dx.doi.org/10.3390/s16101666

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