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Cascaded parallel crowd counting network with multi-resolution collaborative representation
Accurately estimating the size and density distribution of a crowd from images is of great importance to public safety and crowd management during the COVID-19 pandemic, but it is very challenging as it is affected by many complex factors, including perspective distortion and background noise inform...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117858/ https://www.ncbi.nlm.nih.gov/pubmed/35607431 http://dx.doi.org/10.1007/s10489-022-03639-5 |