Analysis Based on Recent Deep Learning Approaches Applied in Real-Time Multi-Object Tracking: A Review-Reference-Cited by-同舟云学术

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Analysis Based on Recent Deep Learning Approaches Applied in Real-Time Multi-Object Tracking: A Review

Published:2021 Issue: Volume:9 Page:32650-32671
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kalake Lesole^ORCID,Wan Wanggen^ORCID,Hou Li

Funder

Science and Technology Commission of Shanghai Municipality

Anhui Natural Science Foundation

China Postdoctoral Science Foundation

Anhui Excellent Young Talents Support Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09359743.pdf?arnumber=9359743

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A closer look at single object tracking under variable haze;Multimedia Tools and Applications;2024-08-29

2. Self-supervised multi-object tracking based on metric learning;Complex & Intelligent Systems;2024-07-03

3. Source-free domain adaptation for semantic image segmentation using internal representations;Frontiers in Big Data;2024-06-18

4. Deep Learning-Based Vehicle Detection and Classification in Traffic Management for Intelligent Transportation Systems;Advances in Computational Intelligence and Robotics;2024-05-31

5. Object Tracking Using Computer Vision: A Review;Computers;2024-05-28

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