A Human Face Detector for Big Data Analysis of Pilgrim Flow Rates in Hajj and Umrah

A Human Face Detector for Big Data Analysis of Pilgrim Flow Rates in Hajj and Umrah

In today's digital world, some crowded venues still rely on outdated methods, such as counting people using counters or sensors at the entrance. These techniques generally fail in areas where people move randomly. Crowd management is an important challenge for ensuring human safety. This paper...

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Bibliographic Details
Main Authors: Riad Alharbey, Ameen Banjar, Yahia Said, Mohamed Atri, Mohamed Abid
Format: Article
Language:English
Published: D. G. Pylarinos 2024-02-01
Series:Engineering, Technology & Applied Science Research
Subjects:
face counting
face tracking
deep learning
attention module
channel-wise module
crowd management
Online Access:https://etasr.com/index.php/ETASR/article/view/6668

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https://etasr.com/index.php/ETASR/article/view/6668

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