Deep learning for multiple object tracking: a survey

Deep learning for multiple object tracking: a survey

Deep learning has been proved effective in multiple object tracking, which confronts the difficulties of frequent occlusions, confusing appearance, in‐and‐out objects, and lack of enough labelled data. Recently, deep learning based multi‐object tracking methods make a rapid progress from representat...

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Bibliographic Details
Main Authors: Yingkun Xu, Xiaolong Zhou, Shengyong Chen, Fenfen Li
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:IET Computer Vision
Subjects:
multiple object tracking
representation learning
network modelling
deep learning theory
multiobject tracking methods
end-to-end deep network construction
Online Access:https://doi.org/10.1049/iet-cvi.2018.5598

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https://doi.org/10.1049/iet-cvi.2018.5598

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