| Title |
A Method to Identify the Identification Eye Status for Drowsiness Monitoring System |
| Authors |
이주현(Lee, Juhyeon) ; 유형석(Yoo, Hyoungsuk) |
| DOI |
https://doi.org/10.5370/KIEE.2014.63.12.1667 |
| Keywords |
Drowsiness monitoring system ; Eye detection ; Eye blinking ; Viola-jones face detection |
| Abstract |
This paper describes a method for detecting the pupil region and identification of the eye status for driver drowsiness detection system. This program detects a driver's face and eyes using viola-jones face detection algorithm and extracts the pupil area by utilizing mean values of each row and column on the eye area. The proposed method uses binary images and the number of black pixels to identify the eye status. Experimental results showed that the accuracy of classification eye status(open/close) was above 90%. |