Real-Time Sleepiness Detection for Driver State Monitoring System

Deepak Ghimire; Juhwan Choi; Sanghyun Park; Sunghwan Jeong; Sunhong Yoon

Real-Time Sleepiness Detection for Driver State Monitoring System

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arxiv 2504.14807 v1 pith:H4DW3PMP submitted 2025-04-21 cs.CV cs.HCcs.LG

Real-Time Sleepiness Detection for Driver State Monitoring System

Deepak Ghimire , Sunghwan Jeong , Sunhong Yoon , Sanghyun Park , Juhwan Choi This is my paper

classification cs.CV cs.HCcs.LG

keywords drivereyesfacestatecloseddetecteddetectionmonitoring

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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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