Design of Artificial Intelligence Driven Crowd Density Analysis for Sustainable Smart Cities-Reference-Cited by-同舟云学术

Design of Artificial Intelligence Driven Crowd Density Analysis for Sustainable Smart Cities

Published:2024 Issue: Volume:12 Page:121983-121993
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alsubai Shtwai¹,Dutta Ashit Kumar²^ORCID,Alghayadh Faisal²^ORCID,Alamer Bader Hussain³,Pattanayak Radha Mohan⁴,Ramesh Janjhyam Venkata Naga⁵^ORCID,Mohanty Sachi Nandan⁴^ORCID

Affiliation:

1. Department of Computer Science, College of Computer Engineering and Sciences in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

2. Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Diriyah, Riyadh, Saudi Arabia

3. Department of Emergency Medical Services, College of Applied Sciences, AlMaarefa University, Diriyah, Riyadh, Saudi Arabia

4. School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India

5. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India

Funder

VIT-AP University, Amaravati, Andhra Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10500823.pdf?arnumber=10500823

Reference31 articles.

1. A survey of crowd counting and density estimation based on convolutional neural network

2. An Efficient Management Platform for Developing Smart Cities: Solution for Real-Time and Future Crowd Detection

3. Intelligent video surveillance: a review through deep learning techniques for crowd analysis

4. CNN-based density estimation and crowd counting: A survey;Gao;arXiv:2003.12783,2020

5. Towards crowd density-aware video surveillance applications