Online Multi-Object Tracking With GMPHD Filter and Occlusion Group Management

Online Multi-Object Tracking With GMPHD Filter and Occlusion Group Management

In this paper, we propose an efficient online multi-object tracking method based on the Gaussian mixture probability hypothesis density (GMPHD) filter and occlusion group management scheme where a hierarchical data association is utilized for the GMPHD filter to reduce the false negatives caused by...

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Bibliographic Details
Main Authors: Young-Min Song, Kwangjin Yoon, Young-Chul Yoon, Kin Choong Yow, Moongu Jeon
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Multiple object tracking
GMPHD filter
hierarchical data association
occlusion handling
energy minimization
Online Access:https://ieeexplore.ieee.org/document/8897600/

Internet

https://ieeexplore.ieee.org/document/8897600/

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