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基于UKF非线性人眼跟踪的驾驶员疲劳检测

张祖涛 张家树

张祖涛, 张家树. 基于UKF非线性人眼跟踪的驾驶员疲劳检测[J]. 西南交通大学学报, 2008, 21(6): 697-702.
引用本文: 张祖涛, 张家树. 基于UKF非线性人眼跟踪的驾驶员疲劳检测[J]. 西南交通大学学报, 2008, 21(6): 697-702.
ZHANG Zutao, ZHANG Jiashu. Driver Fatigue Detection Based on Unscented Kalman Filter and Eye Tracking[J]. Journal of Southwest Jiaotong University, 2008, 21(6): 697-702.
Citation: ZHANG Zutao, ZHANG Jiashu. Driver Fatigue Detection Based on Unscented Kalman Filter and Eye Tracking[J]. Journal of Southwest Jiaotong University, 2008, 21(6): 697-702.

基于UKF非线性人眼跟踪的驾驶员疲劳检测

基金项目: 

教育部新世纪优秀人才支持计划资助项目(NCET-05-0794)

西南交通大学机械工程学院青年教师基金(MYF0806)的资助

详细信息
    作者简介:

    张祖涛(1974- ),男,讲师,博士研究生,主要从事图像与视频处理、生物特征识别与智能交通应用研究.E-mail:zzt@home.swjtu.edu.cn

Driver Fatigue Detection Based on Unscented Kalman Filter and Eye Tracking

  • 摘要: 为解决驾驶员疲劳检测算法中头部快速移动、人眼非线性跟踪以及实际疲劳表情的识别问题,提出了一种新的基于UKF眼跟踪算法的驾驶员疲劳检测方法.根据近似非线性函数的概率分布比近似其函数更容易的原则,利用UT无迹变换,选择一组确定的Sigma点集逼近驾驶员人眼运动状态的后验概率密度函数,进行人眼非线性跟踪.在驾驶员人眼非线性跟踪基础上,通过计算PERCLOS值,进行现实驾驶条件下驾驶员疲劳的跟踪检测.实验结果表明,该方法不仅可以增强对驾驶员头部旋转、快速移动以及光照变换的鲁棒性,而且可以比传统的Kalm an滤波算法提供更精确的计算估计.

     

  • ZHANG Zutao,ZHANG Jiashu.Driver fatigue detection based intelligent vehicle control[C] //Proceedings of the 18th International Conference on Pattern Recognition (ICPR'06).Piscataway:IEEE Press,2006:1 262-1 265.[2] 刘志强,赵艳萍.中国交通安全技术分析[J].中国安全科学学报,2003,13(8):18-21.LIU Zhiqiang,ZHAO Yanping.Technical analysis of traffic safety in china[J].China Safety Science Journal,2003,13(8):18-21.[3] ERIKSSON M,PAPANIKOLOPOULOS P.Eye-tracking for detection of driver fatigue[C] //Proceedings of the international Conference on intelligent Transportation System,Boston.Piscataway:IEEE Press,1997:314-319.[4] HORNG Wenbing,CHEN ChihyYuan,CHANG Yi,et al,Driver fatigue detection based on eye tracking and dynamic template matching[C] //Proceeding of the 2004 IEEE International Conference on Networking,Sensing &Control,Taipei.Piscataway:IEEE Press,2004:8-12.[5] ZHU Zhiwei,JI Qiang.Combining kalman filtering and mean shift for real time eye tracking under active IR illumination[C] //Proceedings of theInternational Conference on Pattern Recognition.Piscataway:IEEE Press,2002:1 051-4 651.[6] 郑培,宋正河,周一鸣.基于PERCLOS的机动车驾驶员驾驶疲劳的识别算法[J].中国农业大学学报,2002,7(2):104-109.ZHENG Pei,SONG Zbenghe,ZHOU Yiming.PERCLOS-based recognition algorithms of motor driver fatigue[J].Journal of China Agricuhural University,2002,7 (2):104-109.[7] 杨秋芬,胡豁生,桂卫华.基于Gabor滤波和特征三角形的驾驶员面部跟踪[J].计算机工程与应用,2006,42(23):16-18.YANG Qiufen,HU Huosheng,GUI Weihua.Driver's face tracking based on feature triangle and gabor filter[J].Computer Engineer And application,2006,42(23):16-18.[8] 陈艳琴,罗大庸.基于Kalman滤波和mean shift算法的人眼实时跟踪[J].模式识别与人工智能,2004,17(2):173-177.CHEN Yanqin,LUO Dayong.Real time eye tracking based on Kalman filter and mean shift algorithm[J].Pattern Recognition and Artifleal Intelligence,2004,17 (2):173-177.[9] PILUTH T.ULSOY A G.Identification of driver state for lane-keeping tasks[J].IEEE Trans.on Systems,Man,and Cybernetics-Part A:Systems and Humans,1999,29(5):486-502.[10] VIOLA P,JONES M J.Rapid object detection using a boosted cascade of simple features[C] //Proceedings of the International Conference on Computer Vision and Pattern Recognition.Piseataway:IEEE Press,2001:1-9.[11] PAPAGEORGIOU P,OREN M,POGGIO T.A general framework for object detection[C] //Proceedings of International Conference on Computer Vision.Piseataway:IEEE Press,1998:555-562.[12] VIOLA P,JONES M.Robust real-time face detection[J].International Journal of Computer Vision,2004,57 (2):137-154.[13] JULIER S J,UHLMANN J K,DURRAN-WHYTE H F.New approach for filtering nonlinear systems[C] //Proceedings of the American Control Conference,Washington,Piscataway:IEEE Press,1995:1 628-1 632.
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出版历程
  • 收稿日期:  2007-05-09
  • 刊出日期:  2008-12-25

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