A deep learning approach for anomaly detection in large-scale Hajj crowds

Hajj is an annual Islamic event attended by millions of pilgrims every year from around the globe. It is considered to be the biggest religious event that includes large human crowds in the world. Managing such crowds and detecting abnormal behaviors is one of the most significant challenges for the...

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Bibliographic Details
Published in:	The Visual computer Vol. 40; no. 8; pp. 5589 - 5603
Main Authors:	Aldayri, Amnah, Albattah, Waleed
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2024 Springer Nature B.V
Subjects:	Anomalies Artificial Intelligence Automation Behavior Computer Graphics Computer Science Computer vision Crowd monitoring Deep learning Image Processing and Computer Vision Loss reduction Original Article Pilgrimages Pilgrims Surveillance Violations Surveillance system Human crowd Abnormal behavior Mass gathering Anomaly detection
ISSN:	0178-2789, 1432-2315
Online Access:	Get full text
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