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http://dx.doi.org/10.9717/kmms.2017.20.6.873

Driver's Eye Blinking Detection Method based on Template Matching using Line Profile  

Kim, Young Jae (Dept. of Biomedical Engineering, Gachon University)
Shin, Seung Seob (Center of Tyroid Cancer, National Cancer Center)
Kim, Kwang Gi (Dept. of Biomedical Engineering, Gachon University)
Publication Information
Journal of Korea Multimedia Society / v.20, no.6, 2017 , pp. 873-881 More about this Journal
Abstract
Prevention of drowsy driving is one of the important issues for safe driving. In this study, the algorithm for detection of drowsy driving has been developed. The algorithm was implemented by applying template matching and line profile, which detects eye blink. The accuracy of eye detection and blink detection was $97.45{\pm}3.67%$ and $98.50{\pm}0.92%$, which was resulted from the verification experiment that 21 subjects participated. Consequently, the algorithm is expected to be used to prevent sleep-deprived driving.
Keywords
Blink Detection; Eye Detection; Infrared Image; Template Matching; Line Profile;
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Times Cited By KSCI : 2  (Citation Analysis)
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