Sleepy Warning System by Tracking Human Eyes on Images
Date Issued
2010
Date
2010
Author(s)
Tsai, I-Ling
Abstract
For the past few years, accidents caused by fatigue driving have occurred frequently, which has become the most serious concern of the government and the society. This thesis proposes a set of non-intrusive algorithm as a sleepiness detector which is capable to determine drivers’ mental state by analyzing the driver’s eyes on recorded images. When system detects the driver''s eyes close for a period of time, the alarm will be triggered immediately to ensure safe driving. The system includes five functions, Face Detection, Eye Region Detection, Eye Verification, Eye Location, and Drowsiness Justification. Two modes, detecting and tracking are included during system operation. The detecting mode is used to locate driver’s eyes at first time and verify the eyes are in the detected region. Once successful operation of the detecting mode is achieved, the system is switched to the tracking mode. By the continuous movement of eyes, a small region is searched and the eyes can be located quickly in the tracking mode such that the state of driver’s eyes can be noticed quickly by the system. From experimental result, it was found 99.32 percent of correct drowsiness detection is achieved using the proposed method.
Subjects
Fatigue Detection
Drowsiness Detection
Face Detection
Eye Location
SVD Verification
Type
thesis
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