Real-Time Sleepiness Detection for Driver State Monitoring System

• URL: http://arxiv.org/abs/2504.14807v1
• Date: Mon, 21 Apr 2025 02:15:37 GMT
• Title: Real-Time Sleepiness Detection for Driver State Monitoring System
• Authors: Deepak Ghimire, Sunghwan Jeong, Sunhong Yoon, Sanghyun Park, Juhwan Choi,
• Abstract summary: We present a real-time technique for driver eye state detection.<n>A normalized cross-correlation-based online dynamic template matching technique is proposed.<n>If the eyes remain closed for a specified period, the driver is considered to be asleep, and an alarm is triggered.
• Score: 2.5058328799137217
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: A driver face monitoring system can detect driver fatigue, which is a significant factor in many accidents, using computer vision techniques. In this paper, we present a real-time technique for driver eye state detection. First, the face is detected, and the eyes are located within the face region for tracking. A normalized cross-correlation-based online dynamic template matching technique, combined with Kalman filter tracking, is proposed to track the detected eye positions in subsequent image frames. A support vector machine with histogram of oriented gradients (HOG) features is used to classify the state of the eyes as open or closed. If the eyes remain closed for a specified period, the driver is considered to be asleep, and an alarm is triggered.

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