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dc.contributor.authorObbo, Aggrey
dc.contributor.authorNabaasa, Evarist
dc.date.accessioned2019-12-19T11:37:05Z
dc.date.available2019-12-19T11:37:05Z
dc.date.issued2019
dc.identifier.citationAggrey, O., & Evarist, N. Survey of Crowd Detection Algorithms using Wireless Sensor Networks: A Case of People Crowds. International Journal of Computer Applications, 975, 8887.en_US
dc.identifier.issn0975 - 8887
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/380
dc.description.abstractIn this paper a survey is carried out on crowd detection algorithms, highlighting challenges and gaps vis-a-avis people crowd detection. The research identifies some of the key capabilities considered invaluable in effective people crowd detection and compares some of the current crowd detection algorithms with regard to these. The results reveal that most algorithms are primarily non-people crowd detection algorithms. While people crowds are intelligent and can easily bypass most of the current crowd detection algorithms. Given the need for detection and management of people crowds, there is great need for specialized algorithms for people crowd detection using effective and non resource intensive methods .en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Computer Applicationsen_US
dc.subjectCrowd Detection Algorithmsen_US
dc.subjectPeople Crowds Detectionen_US
dc.titleSurvey of Crowd Detection Algorithms using Wireless Sensor Networksen_US
dc.title.alternativeA Case of People Crowdsen_US
dc.typeArticleen_US


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