Multi-target tracking of birds in complex low-altitude airspace based on GM_PHD filter

GM_PHD (Gaussian mixture of probability hypothesis density) cannot completely track multiple targets, such as the flying birds in the complex low-altitude airspace near the airport, due to the lack of the steps of birth detection, track extraction and death detection. A new algorithm is proposed to...

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Bibliografske podrobnosti
Principais autores:	Tao Hong, Wu Zhang, Weishi Chen, Xiaolong Chen, Xinru Fu
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2019-09-01
Serija:	The Journal of Engineering
Teme:	target tracking filtering theory probability gaussian processes feature extraction mixture models air safety nearest neighbour methods pattern clustering radar imaging radar tracking multitarget tracking gm_phd filter flying birds airport birth detection track extraction k-nearest neighbour algorithm birth intensity function clustering algorithm filter framework filtering results gaussian mixture implementation bt_gm_phd algorithm multiple flying bird targets complex low-altitude airspace gaussian mixture of probability hypothesis density death detection bird tracking gm_phd algorithm
Online dostop:	https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0746
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Multi-target tracking of birds in complex low-altitude airspace based on GM_PHD filter

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