A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network

This research enhances crowd analysis by focusing on excessive crowd analysis and crowd density predictions for Hajj and Umrah pilgrimages. Crowd analysis usually analyzes the number of objects within an image or a frame in the videos and is regularly solved by estimating the density generated from...

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Detalles Bibliográficos
Autores principales: Bhuiyan, Md Roman, Abdullah, Junaidi, Hashim, Noramiza, Al Farid, Fahmid, Ahsanul Haque, Mohammad, Uddin, Jia, Mohd Isa, Wan Noorshahida, Husen, Mohd Nizam, Abdullah, Norra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044363/
https://www.ncbi.nlm.nih.gov/pubmed/35494812
http://dx.doi.org/10.7717/peerj-cs.895

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044363/
https://www.ncbi.nlm.nih.gov/pubmed/35494812
http://dx.doi.org/10.7717/peerj-cs.895

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