Improved YOLOv4 for Pedestrian Detection and Counting in UAV Images

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 t...

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Detalles Bibliográficos
Autores principales: Kong, Hao, Chen, Zhi, Yue, Wenjing, Ni, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303083/
https://www.ncbi.nlm.nih.gov/pubmed/35875752
http://dx.doi.org/10.1155/2022/6106853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303083/
https://www.ncbi.nlm.nih.gov/pubmed/35875752
http://dx.doi.org/10.1155/2022/6106853

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