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基于人眼PERCLOS特征的列车驾驶员疲劳检测系统 被引量:6

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摘要 针对列车驾驶员疲劳驾驶问题,提出一种基于人眼PERCLOS特征的列车驾驶员疲劳检测系统,即首先采用基于Haar特征的AdaBoost算法进行人脸检测,而后进行人脸定位和跟踪,最后计算人眼的PERCLOS参数,实现驾驶员的疲劳检测。通过室内模拟驾驶实验,该系统具有检测率高、鲁棒性强等特性。
出处 《中国铁路》 北大核心 2011年第12期32-34,共3页 China Railway
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同被引文献46

  • 1滕靖,宋兴昊,姬利娟,舒启翀,彭昌溆.连续驾驶条件下公交驾驶员疲劳特征实验研究[J].交通信息与安全,2013,31(3):87-92. 被引量:8
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