Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting

Human action recognition and detection from unmanned aerial vehicles (UAVs), or drones, has emerged as a popular technical challenge in recent years, since it is related to many use case scenarios from environmental monitoring to search and rescue. It faces a number of difficulties mainly due to ima...

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Detalles Bibliográficos
Autores principales: Ahmad, Tasweer, Cavazza, Marc, Matsuo, Yutaka, Prendinger, Helmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503017/
https://www.ncbi.nlm.nih.gov/pubmed/36146369
http://dx.doi.org/10.3390/s22187020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503017/
https://www.ncbi.nlm.nih.gov/pubmed/36146369
http://dx.doi.org/10.3390/s22187020

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