Social Distancing and Face Mask Detection Using YOLO Object Detection Algorithm
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50993-3_6
Reference36 articles.
1. Zuo, F., et al.: Reference-free video-to-real distance approximation-based urban social distancing analytics amid COVID-19 pandemic. J. Transp. Health 21. Science Direct (2021)
2. Gad, A., ElBary, G., Alkhedher, M., Ghazal, M.: Vision-based approach for automated social distance violators detection. In: 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT). IEEE (2020)
3. Madane, S., Chitre, D.: Social distancing detection and analysis through computer vision. In: 2021 6th International Conference for Convergence in Technology (I2CT). IEEE (2021)
4. Hou, Y.C., et al.: Social distancing detection with deep learning model. In: 2020 8th International Conference on Information Technology and Multimedia (ICIMU). IEEE (2020)
5. Qin, B., Li, D.: Identifying facemask-wearing condition using image super resolution with classification network to prevent COVID-19. Sensors (Basel). MDPI (2020)
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