基于3G视频的驾驶员疲劳状态检测方法

›› 2011, Vol. 24 ›› Issue (11): 84-.

基于3G视频的驾驶员疲劳状态检测方法

王瑜,胡记文

(武警工程学院通信工程系,陕西西安 710086)

出版日期:2011-11-15 发布日期:2011-11-25
作者简介:王瑜(1987—),女,硕士研究生。研究方向:武警移动通信与组网技术。胡记文(1959—),男,副教授。研究方向:武警移动通信与组网技术。

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

WANG Yu, HU Ji-Wen

(Department of Communication Engineering,Engineering College of China Armed Policed Force,Xi'an 710086,China)

Online:2011-11-15 Published:2011-11-25

摘要/Abstract

摘要：

疲劳驾驶已成为交通事故发生的主要原因之一。文中提出了一种基于3G视频的人眼疲劳检测方法。通过DirectShow技术对视频流抓取视频帧,采用肤色聚性特征进行人脸定位,基于灰度信息进行人眼定位与追踪,并采用Perclos方法进行疲劳判断。通过此方法,可以及时了解驾驶者的疲劳状态,有效预防疲劳驾驶。

关键词: 3G视频, 车辆监控, 疲劳检测

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

中图分类号:

TP277.2

王瑜, 胡记文. 基于3G视频的驾驶员疲劳状态检测方法[J]. , 2011, 24(11): 84-.

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