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Dense pedestrian detection algorithm based on YOLOv7 with optimized weights
Image Processing | 更新时间：2025-03-06

    • Dense pedestrian detection algorithm based on YOLOv7 with optimized weights

    • “In the field of pedestrian detection, researchers have proposed the YOLOv7 algorithm based on optimized weights, which effectively improves the detection accuracy in dense crowds.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 3, Pages: 505-515(2025)

    • DOI：10.37188/CJLCD.2024-0175    

      CLC： TP391
    • CSTR：32172.14.CJLCD.2024-0175    

    • Received：17 June 2024，

      Revised：21 July 2024，

      Published：05 March 2025

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  • CAO Jie, NIU Yu, LIANG Haopeng. Dense pedestrian detection algorithm based on YOLOv7 with optimized weights[J]. Chinese journal of liquid crystals and displays, 2025, 40(3): 505-515. DOI： 10.37188/CJLCD.2024-0175. CSTR： 32172.14.CJLCD.2024-0175.

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