Eye Fatigue Algorithm for Driver Drowsiness Detection System
| Autor: | Mohd Rizon Mohamed Juhari, Hung Yang Leong, Teik Jin Lim, Jia Yew Pang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
Computer science 05 social sciences Eye Fatigue Image processing Video processing Hough transform law.invention 03 medical and health sciences 0302 clinical medicine law 0502 economics and business Canny edge detector Viola–Jones object detection framework Algorithm 030217 neurology & neurosurgery Histogram equalization |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030518585 |
| DOI: | 10.1007/978-3-030-51859-2_58 |
| Popis: | This paper proposed an algorithm that used the combination of the Viola-Jones technique, Circular Hough Transform (CHT), Histogram Equalization, Canny Edge detection and percentage of eyelid closure (PERCLOS) technique to accurately detect the eyes condition of the driver. This proposed algorithm achieved a 92.5% accuracy of eyes open images detection and 86.65% accuracy of eyes close images detection with 50 samples each. For the real-time video processing, it achieved 90% accuracy during daytime and 86% accuracy during night-time for the eyes drowsiness detection. |
| Databáze: | OpenAIRE |
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