Dense Pedestrian Detection Method Based on Improved YOLOv5-Reference-Cited by-同舟云学术

Dense Pedestrian Detection Method Based on Improved YOLOv5

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)
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Author:

Zhang Ruoyuan¹,Kong Xingyu¹,Zhu Jun¹

Affiliation:

1. Anhui Water Conservancy Technical College,College of Electronic Information Engineering,Heifei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275802/10277701/10277712.pdf?arnumber=10277712

Reference11 articles.

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4. An online multi-target pedestrian tracking method incorporating Mask R-CNN[J];cao;Computer Engineering and Science,2023

5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.[J];shaoqing;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

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