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Authors: Artur Urzędowski and Kazimierz Choroś

Affiliation: Department of Applied Informatics, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-386 Wrocław, Poland

Keyword(s): Driver Fatigue State, Driver Drowsiness Detection, Driver Distraction, Driver Conversing and Eating, Daylight and Nightlight Conditions, Face Analysis.

Abstract: The objective of the paper is to propose a new driver fatigue detection method using Percentage of Mouth Openness (POM) and Percentage of Eye Closure (PERCLOS) as well as to show its robustness across various real-world conditions. The openness of the eyes and mouth was determined by calculating Aspect Ratios (AR) and checking if AR exceeded a given threshold. Six videos simulated different driving scenarios were recorded to test detection performance under diverse lighting, with and without corrective glasses, moreover with additional complexities such as blinking lights. Furthermore, the method ensures avoidance of misclassification during such driver’s activities as conversing and eating. The method effectively detects fatigue in all test scenarios in which the fatigue state occurred.

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Paper citation in several formats:
Urzędowski, A. and Choroś, K. (2025). Automatic Detection of the Driver Distractions Based on the Analysis of Face Videos. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-728-3; ISSN 2184-4321, SciTePress, pages 542-549. DOI: 10.5220/0013316300003912

@conference{visapp25,
author={Artur Urzędowski and Kazimierz Choroś},
title={Automatic Detection of the Driver Distractions Based on the Analysis of Face Videos},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2025},
pages={542-549},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013316300003912},
isbn={978-989-758-728-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Automatic Detection of the Driver Distractions Based on the Analysis of Face Videos
SN - 978-989-758-728-3
IS - 2184-4321
AU - Urzędowski, A.
AU - Choroś, K.
PY - 2025
SP - 542
EP - 549
DO - 10.5220/0013316300003912
PB - SciTePress

- Science and Technology Publications, Lda.
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