High-density pedestrian detection algorithm based on deep information fusion

Author:

Zhang Hexiang,Yang Xiaofang,Hu Ziyu,Hao Ruoxin,Gao Zehang,Wang Jianhao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

National College Students Innovation and Entrepreneurship Training Program

Science and Technology Project of Hebei Education Department

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Cited by 4 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. Dense Pedestrian Detection Based on GR-YOLO;Sensors;2024-07-22

2. Attention-based digital filter with anchor-free feature pyramid learning model for pedestrian detection;Journal of Intelligent & Fuzzy Systems;2024-04-18

3. Research on Pedestrian Detection Based on Jetson Xavier NX Platform and YOLOv4;2023 4th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC);2023-08-18

4. Analysis Method of Flow Density Based on YOLOv4 Multi-feature Fusion;Lecture Notes in Electrical Engineering;2023

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