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文章基本信息

  • 标题:AN EFFICIENT DETECTION SYSTEM FOR A DROWSY DRIVER
  • 本地全文:下载
  • 作者:JAMAL ZRAQOU ; ADI MAAITA ; WESAM ALKHADOUR
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:78
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This paper describes an efficient detection system to monitor driver vigilance. A regular webcam is used to point directly towards the driver�s face and monitors the driver�s eyes in order to detect drowsiness in about real-time. Image processing technology is involved to analyze images of the driver's face taken by a regular webcam. Alertness is detected based on the degree to which the driver's eyes are open or closed. Several efficient methods are employed to achieve the efficiency. Experiments are performed to reveal the performance of the proposed method in a simulating environment with subjects of different ages, genders, and under different lighting conditions.
  • 关键词:Drowsy Driver Detection; Facial Expression Detection; Eyes Detection; Facial Expression Extraction; Facial Action Unit Detection.
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