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...

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Detalles Bibliográficos
Autores principales: Luque Sánchez, Francisco, Hupont, Isabelle, Tabik, Siham, Herrera, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier B.V. 2020
Materias:
Full Length Article
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

Internet

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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