基于3G视频的驾驶员疲劳状态检测方法

Abstract

Abstract:

Fatigue driving has become one of the main contributing factors to traffic accidents.This paper presents a method for the detection of driver eye fatigue state based on 3G video.First,video frames are captured from the video stream via DirectShow,then the human face's position is located through the characteristics of skin colors,and the human eyes are tracked using grayscale information.Finally,the PERCLOS method can decide whether the driver is fatigue.By this method,it can prevent fatigue driving effectively.

Key words: 3G video;vehicle monitoring;fatigue detection

CLC Number:

TP277.2

Cite this article

WANG Yu, HU Ji-Wen. A Method for Detection of Driver Eye Fatigue State Based on 3G Video[J]., 2011, 24(11): 84-.

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URL: https://journal.xidian.edu.cn/dzkj/EN/

https://journal.xidian.edu.cn/dzkj/EN/Y2011/V24/I11/84

References

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［2］刘芳.基于视频的驾驶员疲劳驾驶实时检测系统的设计与研究［D］.杭州:浙江工业大学,2009.

［3］唐立峰,何东健.基于肤色分割的人脸检测算法研究［J］.计算机工程与设计,2009,30(19):4461-4464.

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［5］王荣本,郭克友,储江伟.适用驾驶员疲劳状态检测的人眼定位方法研究［J］.公路交通科技,2003,20(5):111-114.

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A Method for Detection of Driver Eye Fatigue State Based on 3G Video

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