Online multiple object tracking using confidence score‐based appearance model learning and hierarchical data association

Online multiple object tracking using confidence score‐based appearance model learning and hierarchical data association

The goal of multiple object tracking (MOT) is to estimate the locations of objects and maintain their identities consistently to yield their individual trajectories. MOT has been developed enormously, but it is still a challenging work due to similar appearances of different objects and occlusion by...

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Bibliographic Details
Main Authors: Mingjie Liu, Cheng‐Bin Jin, Bin Yang, Xuenan Cui, Hakil Kim
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:IET Computer Vision
Subjects:
occlusion
hierarchical data association
MOT
associated tracklet-detection
multiple object tracking
confidence score calculation
Online Access:https://doi.org/10.1049/iet-cvi.2018.5499

Internet

https://doi.org/10.1049/iet-cvi.2018.5499

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