UAV (unmanned aerial vehicle) captured images have small pedestrian targets and loss of key information after multiple down sampling, which are difficult to overcome by existing methods. We propose an improved YOLOv4 model for pedestrian detection and counting in UAV images, named YOLO-CC. We used the lightweight YOLOv4 for pedestrian detection, which replaces the backbone with CSPDarknet-34, and two feature layers are fused by FPN (Feature Pyramid Networks). We expanded the perception field using multiscale convolution based on the high-level feature map and generated the population density map by feature dimension reduction. By embedding the density map generation method into the network for end-to-end training, our model can effectively improve the accuracy of detection and counting and make feature extraction more focused on small targets. Our experiments demonstrate that YOLO-CC achieves 21.76 points AP50 higher than that of the original YOLOv4 on the VisDrone2021-counting data set while running faster than the original YOLOv4.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Improved YOLOv4 for Pedestrian Detection and Counting in UAV Images


    Beteiligte:
    Hao Kong (Autor:in) / Zhi Chen (Autor:in) / Wenjing Yue (Autor:in) / Kang Ni (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Improved YOLOv4-tiny network for pedestrian detection

    Fan, Pengbo / Chen, Tingzheng / Zhou, Zongtan et al. | IEEE | 2022


    Pedestrian Detection Algorithm Based on Improved YOLOv4

    Zheng, Ziheng / Ni, Chenhui / Zeng, Guolei | IEEE | 2023


    Detection Algorithm Based on Improved YOLOv4 for Pedestrian

    Kong, Wen / Qiao, Yidan / Wei, Ziqi | IEEE | 2022


    A Improved Yolov4’s vehicle and pedestrian detection method

    Wang, Hailong / Tian, Shihe / Zhang, Zhian et al. | VDE-Verlag | 2022


    Vehicle Type Classification and Counting Using YOLOv4 Algorithm

    Imperial, Samuel II C. / Lucas, Ana Lowela L. / Caya, Meo Vincent | IEEE | 2022