Real-Time Vehicle-Detection Method in Bird-View Unmanned-Aerial-Vehicle Imagery

Vehicle detection is an important research area that provides background information for the diversity of unmanned-aerial-vehicle (UAV) applications. In this paper, we propose a vehicle-detection method using a convolutional-neural-network (CNN)-based object detector. We design our method, DRFBNet30...

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Detalles Bibliográficos
Autores principales: Han, Seongkyun, Yoo, Jisang, Kwon, Soonchul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767679/
https://www.ncbi.nlm.nih.gov/pubmed/31540275
http://dx.doi.org/10.3390/s19183958

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767679/
https://www.ncbi.nlm.nih.gov/pubmed/31540275
http://dx.doi.org/10.3390/s19183958

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