Improved YOLOX-DeepSORT for Multitarget Detection and Tracking of Automated Port RTG-Reference-Cited by-同舟云学术

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Improved YOLOX-DeepSORT for Multitarget Detection and Tracking of Automated Port RTG

Published:2024 Issue: Volume:5 Page:317-325
ISSN:2644-1284
Container-title:IEEE Open Journal of the Industrial Electronics Society
language:
Short-container-title:IEEE Open J. Ind. Electron. Soc.

Author:

YU ZHENGTAO¹^ORCID,ZHENG XUEQIN²^ORCID,YANG JUN³^ORCID,SU JINYA¹^ORCID

Affiliation:

1. School of Automation, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China

2. Meituan, Beijing, China

3. Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K.

Funder

National Natural Science Foundation of China

Start-Up Research Fund of Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782706/10417853/10499882.pdf?arnumber=10499882

Reference32 articles.

1. Port efficiency, maritime transport costs, and bilateral trade

2. Object Detection in 20 Years: A Survey

3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

4. Fast R-CNN

5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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