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Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
Crowd behaviour analysis is an emerging research area. Due to its novelty, a proper taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic organisation of existing works following a pipeline, where sub-problems in last stages benefit from the results in previo...
Autores principales: | Luque Sánchez, Francisco, Hupont, Isabelle, Tabik, Siham, Herrera, Francisco |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387290/ https://www.ncbi.nlm.nih.gov/pubmed/32834797 http://dx.doi.org/10.1016/j.inffus.2020.07.008 |
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