Deep Learning-Based Object Detection System for Crowd Monitoring in High-Security Areas-Reference-Cited by-同舟云学术

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Deep Learning-Based Object Detection System for Crowd Monitoring in High-Security Areas

Published:2024-01-24 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
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Author:

Pandey Anurag¹,Kandpal Hitesh¹,Rawat Shubham Singh¹,Vaidya Himadri¹,Rawat Ruchira²,Kumar Bura Vijay³

Affiliation:

1. Computer Science and Engineering Graphic Era Hill University,Dehradun,India

2. Computer Science and Engineering Graphic Era Deemed to be University,Dehradun,India

3. School of Computer Science and Artificial Intelligence SR University,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467176/10467219/10467778.pdf?arnumber=10467778

Reference17 articles.

1. Object detection from traditional techniques to modern deep learning approaches;Francy,2023

2. Improving surveillance capabilities: A study on object detection algorithms;Chen;IEEE Transactions on Circuits and Systems for Video Technology,2019

3. Crowd analysis: a survey

4. Deep learning-based real-world object detection and improved anomaly detection for surveillance videos

5. CrowdSurge: A Crowd Density Monitoring Solution Using Smart Video Surveillance with Security Vulnerability Assessment

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