HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting

Crowd counting is a challenging task due to large perspective, density, and scale variations. CNN-based crowd counting techniques have achieved significant performance in sparse to dense environments. However, crowd counting in high perspective-varying scenes (images) is getting harder due to differ...

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Detalles Bibliográficos
Autores principales: Ilyas, Naveed, Lee, Boreom, Kim, Kiseon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156381/
https://www.ncbi.nlm.nih.gov/pubmed/34067707
http://dx.doi.org/10.3390/s21103483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156381/
https://www.ncbi.nlm.nih.gov/pubmed/34067707
http://dx.doi.org/10.3390/s21103483

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