Congested Crowd Counting via Adaptive Multi-Scale Context Learning †

In this paper, we propose a novel congested crowd counting network for crowd density estimation, i.e., the Adaptive Multi-scale Context Aggregation Network (MSCANet). MSCANet efficiently leverages the spatial context information to accomplish crowd density estimation in a complicated crowd scene. To...

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Detalles Bibliográficos
Autores principales: Zhang, Yani, Zhao, Huailin, Duan, Zuodong, Huang, Liangjun, Deng, Jiahao, Zhang, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198824/
https://www.ncbi.nlm.nih.gov/pubmed/34072408
http://dx.doi.org/10.3390/s21113777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198824/
https://www.ncbi.nlm.nih.gov/pubmed/34072408
http://dx.doi.org/10.3390/s21113777

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