• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on ITS(Intelligent Transport Systems Standardization) Telecommunications Proceedings(ITST2006); 20060621-23; Chengdu(CN) >A New Real-Time Eye Tracking for Driver Fatigue Detection
【24h】

A New Real-Time Eye Tracking for Driver Fatigue Detection

机译：一种用于驾驶员疲劳检测的新型实时眼动追踪

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Driver fatigue is one of the important factors that cause traffic accidents. The vision-based facial expression recognition technique is the most prospective method to detect driver fatigue. In this paper, we present a new Driver fatigue detection based on Unscented Kalman filter and eye tracking in this paper. The face is located using Haar algorithm firstly, which has good robustness in terms of head motions, variable lighting conditions, the change of hair and having glasses, etc. Secondly, the geometric properties and projection technique are used for eye location. Thirdly, we propose a new real time eye tracking method based on Unscented Kalman Filter. Finally, driver fatigue can be detected whether the eyes are closed over 5 consecutive frames using vertical projection matching. The experimental results show validity of our method for driver fatigue detection under variable realistic conditions.
机译：驾驶员疲劳是导致交通事故的重要因素之一。基于视觉的面部表情识别技术是检测驾驶员疲劳的最有前途的方法。在本文中，我们提出了一种基于Unscented Kalman滤波和眼动追踪的驾驶员疲劳检测新方法。首先使用Haar算法对人脸进行定位，该算法在头部运动，可变光照条件，头发变化和戴眼镜等方面具有良好的鲁棒性。其次，将几何特性和投影技术用于眼睛定位。第三，提出了一种基于无味卡尔曼滤波的实时眼动跟踪方法。最终，可以使用垂直投影匹配来检测驾驶员是否在连续5帧中闭眼的情况下疲劳。实验结果表明我们的方法在可变现实条件下对驾驶员疲劳检测的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号