Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage

Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage

Almost two million Muslim pilgrims from all around the globe visit Mecca each year to conduct Hajj. Each year, the number of pilgrims grows, creating worries about how to handle such large crowds and avoid unpleasant accidents or crowd congestion catastrophes. In this paper, we introduced deep Hajj...

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Bibliographic Details
Main Authors: Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Wan Noorshahida Mohd Isa, Jia Uddin, Norra Abdullah
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
crowd density classification
deep augmentation
morphological operation
FCNN
Hajj-Crowd dataset
Online Access:https://www.mdpi.com/1424-8220/22/14/5102

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