A Real-Time Driver Fatigue Detection System Based
on Eye Tracking and Dynamic Template Matching

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/45279

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题名:	A Real-Time Driver Fatigue Detection System Based on Eye Tracking and Dynamic Template Matching
作者:	Horng, Wen-bing;Chen, Chih-yuan
贡献者:	淡江大學資訊工程學系
关键词:	Intelligent Transportation System;Driver Fatigue Detection;Eye Detection;Face Detection;Template Matching
日期:	2008-03
上传时间:	2010-03-26 18:55:16 (UTC+8)
出版者:	臺北縣：淡江大學
摘要:	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 MBRAM. 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.
關聯:	淡江理工學刊=Tamkang Journal of Science and Engineering 11(1), pp.65-72
DOI:	10.6180/jase.2008.11.1.09
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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