An effective modular approach for crowd counting in an image using convolutional neural networks

Abrupt and continuous nature of scale variation in a crowded scene is a challenging task to enhance crowd counting accuracy in an image. Existing crowd counting techniques generally used multi-column or single-column dilated convolution to tackle scale variation due to perspective distortion. Howeve...

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Detalles Bibliográficos
Autores principales: Ilyas, Naveed, Ahmad, Zaheer, Lee, Boreom, Kim, Kiseon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986811/
https://www.ncbi.nlm.nih.gov/pubmed/35388054
http://dx.doi.org/10.1038/s41598-022-09685-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986811/
https://www.ncbi.nlm.nih.gov/pubmed/35388054
http://dx.doi.org/10.1038/s41598-022-09685-w

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