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

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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Bibliographic Details
Main Authors: Tao Hong, Wu Zhang, Weishi Chen, Xiaolong Chen, Xinru Fu
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
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 Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0746

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0746

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