Realtime Crowd Monitoring—Estimating Count, Speed and Direction of People Using Hybridized YOLOv4-Reference-Cited by-同舟云学术

Realtime Crowd Monitoring—Estimating Count, Speed and Direction of People Using Hybridized YOLOv4

Published:2023 Issue: Volume:11 Page:56368-56379
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khel Muhammad Haris Kaka¹,Kadir Kushsairy Abdul¹^ORCID,Khan Sheroz²^ORCID,Noor Mnmm³,Nasir Haidawati³,Waqas Nawaf⁴^ORCID,Khan Akbar¹^ORCID

Affiliation:

1. Electrical Section, Universiti Kuala Lumpur-British Malaysian Institute, Selangor, Gombak, Malaysia

2. Department of Electrical Engineering, College of Engineering and Information Technology, Onaizah Colleges, Onaizah, Saudi Arabia

3. Computer Engineering Section, Universiti Kuala Lumpur-Malaysian Institute of Information Technology, Kuala Lumpur, Malaysia

4. Department of Instrumentation and Control Engineering, Universiti Kuala Lumpur-Malaysian Institute of Industrial Technology, Kuala Lumpur, Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10114068.pdf?arnumber=10114068

Reference46 articles.

1. End-to-End People Detection in Crowded Scenes

2. Hybridized Yolov4 for Detecting and Counting People in Congested Crowds

3. Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning

4. Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks

5. An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Privacy-preserving WiFi fingerprint-based people counting for crowd management;Computer Communications;2024-09

2. Object detection and crowd analysis using deep learning techniques: Comprehensive review and future directions;Neurocomputing;2024-09

3. Towards Efficient Urban Mobility: Deployment Strategies for Smart Traffic Management and Crowd Monitoring Systems;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03

4. The imapct of temporal features in anomaly detection in smart cities;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

5. A Novel Approach for Crowd Analysis and Density Estimation by Using Machine Learning Techniques;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03