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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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Detalhes bibliográficos
Publicado no:Sensors (Basel)
Main Authors: Zhou, Xiaolong, Yu, Hui, Liu, Honghai, Li, Youfu
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4721715/
https://ncbi.nlm.nih.gov/pubmed/26633422
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s151229794
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