A YOLOv5-based method for detecting vehicles in overhead surveillance video-Reference-Cited by-同舟云学术

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A YOLOv5-based method for detecting vehicles in overhead surveillance video

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 35th Chinese Control and Decision Conference (CCDC)
language:
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Author:

Liu Hongjian¹,Zhang Weibin¹

Affiliation:

1. Nanjing University of Science and Technology,Nanjing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10326536.pdf?arnumber=10326536

Reference25 articles.

1. YOLO4: Optimal Speed and Accuracy of Object Detection[R];bochkovskiy,2020

2. ultralyt-ics/yolov5: v5.0-YOLOv5-P6 1280 models, AWS, Su-pervise.ly and YouTube integrations[M];jocher;Zenodo,2021

3. YOLO9000: Better, Faster, Stronger

4. YOLOv3: An incremental improvement[J];redmon,2018

5. Efficientdet: Scalable and efficient object detection[C];tan;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2020

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1. An Automated Detection Model of Prepaid Mobile Phone Cards Using YOLOv5;2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2024-05-19

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