A Detection Model for Drivers Unsafe States Based on Real-Time Face-Vision
The auto industry has developed fast in the last 100 years. Although it brings us convenience, more and more traffic accidents are happening every day. There are many factors which can cause a car accident Based on the record of a large number of accidents, fatigue is one of the most important factors. Additionally, drivers distraction and conversations with passengers during driving can lead to serious results. In this paper, a real-time vision-based model is proposed for monitoring drivers unsafe states, including fatigue state, distraction state and talking state, etc. By analyzing drivers realtime face vision, a method for detecting drivers fatigue, distraction and talking states is given. Also, the model is its extreme high speed and very simple equipment. It can run at about 20 frames per second in video with 640*480 resolutions on a normal computer platform.
fatigue monitoring computer vision unsafe driving face detection gaze detection
Fangwen Zhai Zehong Yang Yixu Song Hongbiao Ma
State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology, Tsinghua University Beijing, China
国际会议
2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)
厦门
英文
142-145
2010-04-12（万方平台首次上网日期，不代表论文的发表时间）