Tracking Multiple Video Targets with an Improved GM-PHD Tracker

Tracking multiple moving targets from a video plays an important role in many vision-based robotic applications. In this paper, we propose an improved Gaussian mixture probability hypothesis density (GM-PHD) tracker with weight penalization to effectively and accurately track multiple moving targets...

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Detalles Bibliográficos
Autores principales: Zhou, Xiaolong, Yu, Hui, Liu, Honghai, Li, Youfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721715/
https://www.ncbi.nlm.nih.gov/pubmed/26633422
http://dx.doi.org/10.3390/s151229794

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721715/
https://www.ncbi.nlm.nih.gov/pubmed/26633422
http://dx.doi.org/10.3390/s151229794

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