Crowd Monitoring of Hajj Pilgrimage using Video Analytics and Deep Learning *-Reference-Cited by-同舟云学术

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Crowd Monitoring of Hajj Pilgrimage using Video Analytics and Deep Learning *

Published:2022-11-22 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
language:
Short-container-title:

Author:

Bhuiyan Md Roman¹,Abdullah Junaidi¹,Hashim Noramiza¹,Farid Fahmid Al¹

Affiliation:

1. Multimedia University,Faculty of Computing and Informatics,Cyberjaya,Malaysia

Funder

Multimedia University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10082768/10082763/10082848.pdf?arnumber=10082848

Reference12 articles.

1. Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

2. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

3. Crowd density estimation using deep learning for Hajj pilgrimage video analytics

4. Multi-source Multi-scale Counting in Extremely Dense Crowd Images

5. A history of hajj tragedies - world news;London theguardian com,2006

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