标题:A Real-time Fatigue Driving Detection System Design and Implementation
作者:Ma, Zhao-Bin; Yang, Yang; Zhou, Fengyu; Xu Jian-Hua
通讯作者:Yang, Yang
作者机构:[Ma, Zhao-Bin; Yang, Yang] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.; [Zhou, Fengyu] Shandong Univ, Sch Control Sci & E 更多
会议名称:17th IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATIONS TECHNOLOGY (ICACT)
会议日期:JUL 01-03, 2015
来源:2015 17TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT)
出版年:2015
卷:2015-August
页码:483-488
DOI:10.1109/ICACT.2015.7224842
关键词:Fatigue driving detection; Face detection; Real-time; AdaBoosted; classifier; Iris positioning; PERCLOS
摘要:A reliable and real-time fatigue driving detection system is very important for traffic safety. Till now, various methods have been presented to improve the accuracy and robustness, however, few papers showed the efficiency of the system or the feasibility of real-time processing in embedded system. Considering the efficiency and reliability, a real-time fatigue driving detection system is presented in this paper. Firstly, Haar-like features and AdaBoosted classifiers are adopted for real-time face detection. The selection of the optimal sampling ratio and the minimum possible object size is discussed for high detection accuracy and computational efficiency. Secondly, eye location and iris positioning are applied to detected faces. We propose to use the area proportion that the iris takes in its minimum circumscribed circle as the indicator for judging the state of the eye, which is more convenient and has good robustness to distance. Finally, the percentage of eye closure (PERCLOS) is used as the criteria to determine whether the driver is tired. The embedded platform implementation of the proposed system turns out to be efficient.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949957556&doi=10.1109%2fICACT.2015.7224842&partnerID=40&md5=2c86de3a4d3a5719308523e46f490fab
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