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A review on crowd analysis of evacuation and abnormality detection based on machine learning systems
Autor:
Alala Bahamid, Azhar Mohd Ibrahim
Publikováno v:
Neural Computing and Applications. 34:21641-21655
Autor:
Azhar Mohd Ibrahim, Ibrahim Venkat, Philippe De Wilde, Muhammad Rabani Mohd Romlay, Alala Bahamid
Crowd dynamics have constituted a hotspot of research in recent times, particularly in areas where developmental progress has taken place in crowd evacuation for ensuring human safety. In high-density crowd events which happen frequently, panic or an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f15b588478f17951b8c5779dd3f9de3
https://kar.kent.ac.uk/93304/1/Simulation_paper_for_review.pdf
https://kar.kent.ac.uk/93304/1/Simulation_paper_for_review.pdf
Publikováno v:
Journal of Physics: Conference Series. 1706:012159
Mass gathering in places such as shopping mall, concerts, sport events etc. is a necessity but may pose threat to the occupants during emergency. This paper presents a review of the different approaches of the crowd evacuation problems which can be c