YOLOv4-Based Monitoring Model for COVID-19 Social Distancing Control-Reference-Cited by-同舟云学术

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YOLOv4-Based Monitoring Model for COVID-19 Social Distancing Control

Published:2021-09-04 Issue: Volume: Page:333-346
ISSN:2190-3018
Container-title:Smart Systems: Innovations in Computing
language:
Short-container-title:

Author:

Shareef Ahmed Abdullah A.,Yannawar Pravin L.,Abdul-Qawy Antar Shaddad H.,Ahmed Zeyad A. T.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2877-1_31

Reference43 articles.

1. He, Z., Chen, X.: Object tracking based on channel attention. IEEE Access 8, 17824–17832 (2020)

2. Lee, R.S.T.: Artificial intelligence in daily life. Artif. Intell. Dly Life. 49, 6221 (2020)

3. Mahdavinejad, M.S., Rezvan, M., Barekatain, M., Adibi, P., Barnaghi, P., Sheth, A.P.: Machine learning for internet of things data analysis: a survey. Digit. Commun. Netw 4(3), 161–75 (2018). https://doi.org/10.1016/j.dcan.2017.10.002

4. Zhao, Z.Q., Zheng, P., Xu, S.T., Wu, X.: Object detection with deep learning: a review. IEEE Trans. Neural Netw. Learn Syst. 30(11), 3212–3232 (2019)

5. Chapel, M.N., Bouwmans, T.: Moving objects detection with a moving camera: a comprehensive review. arXiv. (2020)

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1. Deep Learning Based Model for Fire and Gun Detection;Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022);2023

2. Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey;Sustainable Cities and Society;2022-10

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