Application of Computer Vision Systems for Monitoring the Condition of Drivers Based on Facial Image Analysis
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1134/S1054661821030020.pdf
Reference20 articles.
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2. N. A. Andriyanov, “First step towards creating a software package for detecting the dangerous states during driver eye monitoring,” in Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021, Ed. by A. Del Bimbo et al. (Springer, Cham, 2021), pp. 314–322. https://doi.org/10.1007/978-3-030-68821-9_29
3. N. Andriyanov and D. Andriyanov, “Pattern recognition on radar images using augmentation,” in Proceedings-2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020 (IEEEE, 2020), pp. 289–291). https://doi.org/10.1109/USBEREIT48449.2020.9117669
4. N. Celona, L. Mammana, S. Bianco, and R. Schettini, “A multi-task CNN framework for driver face monitoring,” in IEEE International Conference on Consumer Electronics (ICCE-Berlin, Berlin, 2018), pp. 1–4.
5. http://mrl.cs.vsb.cz/eyedataset. Accessed March 24, 2021.
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