Unmanned aerial vehicles for crowd monitoring and analysis

Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle applications. From preventing stampede in high concentration crowds to estimating crowd density and to surveilling crowd movements, crowd monitoring and analysis have long been employed in the past by authorities...

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Bibliographic Details
Main Authors: Husman, Muhammad Afif, Albattah, Waleed, Zainal Abidin, Zulkifli, Mohd Mustafah, Yasir, Kadir, Kushsairy, Habib, Shabana, Islam, Muhammad, Khan, Sheroz
Format: Article
Language:English
English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2021
Subjects:
Online Access:http://irep.iium.edu.my/94829/1/94829_Unmanned%20aerial%20vehicles%20for%20crowd%20monitoring%20and%20analysis.pdf
http://irep.iium.edu.my/94829/2/94829_Unmanned%20aerial%20vehicles%20for%20crowd%20monitoring%20and%20analysis_SCOPUS.pdf
http://irep.iium.edu.my/94829/
https://www.mdpi.com/2079-9292/10/23/2974
https://doi.org/10.3390/electronics10232974
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
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Summary:Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle applications. From preventing stampede in high concentration crowds to estimating crowd density and to surveilling crowd movements, crowd monitoring and analysis have long been employed in the past by authorities and regulatory bodies to tackle challenges posed by large crowds. Conventional methods of crowd analysis using static cameras are limited due to their low coverage area and non-flexible perspectives and features. Unmanned aerial vehicles have tremendously increased the quality of images obtained for crowd analysis reasons, relieving the relevant authorities of the venues’ inadequacies and of concerns of inaccessible locations and situation. This paper reviews existing literature sources regarding the use of aerial vehicles for crowd monitoring and analysis purposes. Vehicle specifications, onboard sensors, power management, and an analysis algorithm are critically reviewed and discussed. In addition, ethical and privacy issues surrounding the use of this technology are presented.