基于图像识别的疲劳驾驶监测方法研究

摘要

Using the camera directly toward the driver's face, for real-time monitoring of the degree of fatigue of the driver.If it detects fatigue issues a warning signal to alert the driver.Through the camera to record video files and con-vert them to frames.Conduct eye tracking, Eye can be determined by measuring the change in the distance of the eye region image intensity between the open-eye or closed-eye.If continuous with eyes closed for too long,the system de-termines that the driver is in a state of fatigue or sleep state,and the conclusions issued a warning signal.By this algo-rithm,implementation,testing,this method can effectively determines the fatigue state of the driver.%经研究提出使用摄像机直接朝向驾驶者的面部,以便实时监控驾驶者的疲劳程度.如果检测到疲劳将发出警告信号,提醒驾驶员.通过摄像头录制的视频文件并将其转换为帧,进行眼部跟踪定位,通过测量眼部区域中的图像强度的变化之间的距离可确定眼睛为闭眼或者睁眼.发现闭眼连续时间过长,系统判定驾驶员处于疲劳状态或者入睡状态,并发出警告信号的结论.通过对该算法测试,该方法可以有效的判定驾驶员的疲劳状态.