Automatic detection of indoor occupancy based on improved YOLOv5 model

Indoor occupancy detection is essential for energy efficiency control and Coronavirus Disease 2019 traceability. The number and location of people can be accurately identified and determined through classroom surveillance video analysis. This information is used to manage environmental equipment suc...

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Detalles Bibliográficos
Autores principales: Wang, Chao, Zhang, Yunchu, Zhou, Yanfei, Sun, Shaohan, Zhang, Hanyuan, Wang, Yepeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436742/
https://www.ncbi.nlm.nih.gov/pubmed/36068815
http://dx.doi.org/10.1007/s00521-022-07730-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436742/
https://www.ncbi.nlm.nih.gov/pubmed/36068815
http://dx.doi.org/10.1007/s00521-022-07730-3

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