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Multiple object detection of violated vehicles in traffic surveillance video based on YOLOv5 network algorithm
更新时间：2025-05-26

    • Multiple object detection of violated vehicles in traffic surveillance video based on YOLOv5 network algorithm

    • “In the field of traffic monitoring, experts have proposed a multi-objective detection method for illegal vehicles based on YOLOv5 network algorithm, which effectively improves image quality and detection accuracy.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 2, Pages: 693-699(2025)
    • 作者机构：

      1.辽宁工业大学 汽车与交通工程学院，辽宁 锦州 121001

      2.沈阳理工大学 汽车与交通学院，沈阳 110159

    • DOI：10.13229/j.cnki.jdxbgxb.20231458    

      CLC： TP391.4

    • Received：29 December 2023，

      Published：01 February 2025

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  • ZHENG Li-min,CHEN Shuang,LI Gang.Multiple object detection of violated vehicles in traffic surveillance video based on YOLOv5 network algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(02):693-699. DOI： 10.13229/j.cnki.jdxbgxb.20231458.

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