Fatigue Detection Using Computer Vision

被引：8

作者：

Patel, Mitesh ^{[1
]}

Lal, Sara ^{[1
]}

Kavanagh, Diarmuid ^{[1
]}

Rossiter, Peter ^{[2
]}

机构：

[1] Univ Technol Sydney, Sch Med & Mol Biosci, Sydney, NSW 2007, Australia

[2] Forge Grp, Sydney, NSW 2007, Australia

来源：

INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS | 2010年 / 56卷 / 04期

基金：

澳大利亚研究理事会;

关键词：

Face detection; eye blink detection; fatigue; computer vision;

D O I：

10.2478/v10177-010-0062-8

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Long duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in drivers. The system is based on computer vision with main focus on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.

引用

页码：457 / 461

页数：5

共 16 条

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