Deep learning for multiple object tracking: a survey-Reference-Cited by-同舟云学术

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Deep learning for multiple object tracking: a survey

Published:2019-05 Issue:4 Volume:13 Page:355-368
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Xu Yingkun¹,Zhou Xiaolong¹,Chen Shengyong¹²,Li Fenfen³

Affiliation:

1. College of Computer Science and Technology, Zhejiang University of TechnologyHangzhouPeople's Republic of China

2. Computer and Software EngineeringHuaiyin Institute of TechnologyHuaianPeople's Republic of China

3. School of Computer Science and EngineeringTianjin University of TechnologyTianjin300384People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5598

Reference109 articles.

1. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

2. Deep Residual Learning for Image Recognition

3. ImageNet: A large-scale hierarchical image database

4. Simonyan K. Zisserman A.: ‘Very deep convolutional networks for large‐scale image recognition’ CoRR 2014 abs/1409.1556

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