Wen-Bing Horng This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Chih-Yuan Chen1

1Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.


 

Received: December 29, 2006
Accepted: July 25, 2007
Publication Date: March 1, 2008

Download Citation: ||https://doi.org/10.6180/jase.2008.11.1.09  


ABSTRACT


This paper presents a vision-based real-time driver fatigue detection system for driving safety. Based on skin colors, the driver’s face is located from a color video captured in a car. Then, edge detection is employed to locate the regions of the driver’s eyes, which are used as the templates for eye tracking in subsequent frames. Finally, the tracked eyes’ images are used for fatigue detection in order to generate warning alarms for driving safety. The proposed system was tested on a Pentium M 1.4G notebook with 512 MB RAM. The experimental results seemed quite encouraging and promising. The system could reach more than 30 frames per second for eye tracking, and the average correct rate for eye location and tracking could achieve 96.0% on five test videos. Though the average precision rate of fatigue detection was 89.3%, the correct detection rate could achieve 100% on the test videos.


Keywords: Intelligent Transportation System, Driver Fatigue Detection, Eye Detection, Face Detection, Template Matching


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