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driverdetection
- 司机疲劳识别程序。调整摄像头光线，拍摄下具有红眼的司机头部照片，与正常拍摄下照片一起处理，判断出司机是否处于疲劳状态。-driver fatigue identification procedures. Adjust light camera to take pictures with red-eye photo of the driver head, and under normal shooting photos together, determine whether the drivers
eye_detection_location.rar
- 人脸与人眼的检测与定位程序，matlab代码,Face and eye detection and location of the program, matlab code
detect.rar
- 基于OpenCV的人眼识别定位与跟踪。本例是为了实现驾驶员疲劳驾驶的识别，通过对眼睛的运动状态来判别疲劳程度,OpenCV on the human eye to identify the location and tracking, which in this case the driver is tired of driving in order to achieve the recognition, through the movement of the eyes to determine
pilaojiashi
- 在VC++环境下利用OPENCV实现人眼检测和识别，并判断驾驶员是否疲劳，自动提醒驾驶员停止驾驶。-In VC++ environment using OPENCV achieve detection and recognition of the human eye and determine whether driver fatigue, and automatically alerts the driver to stop driving.
zhayan
- 通过眨眼频率识别来进行疲劳判断，利用opencv来进行人脸眼部区域的识别-By blink frequency identification to determine the fatigue, for use opencv eye face recognition area
1
- 图像处理算法，防疲劳驾驶图像处理算法，防疲劳驾驶-Image processing algorithm, anti-fatigue driving image processing algorithm, anti-fatigue driving
3
- 图像处理，前端数据通过摄像头获取，后端对图像进行处理，防止疲劳驾驶-Image processing, front-end data access through the camera, the back-end image processing, to prevent fatigue driving
4
- 人脸检测图像算法，定位人眼，防止疲劳驾驶-Human face detection algorithm image, positioning the human eye, to prevent fatigue driving
designofdrowsinessdetectionsystembasedondsp
- 本文描述了一个基于TI 公司高速图像处理芯片TMS320DM642 的疲劳检测预警系统， 用以判定驾驶员的疲劳程度，降低交通事故-This paper describes a drowsiness detection system based on High-speed DSP—TMS320DM642 from TI Inc
EyeLocationMethodforDriverFatigueDetectioninDualSp
- ：驾驶疲劳可以从眼睛的状态中反映出来，而眼睛定位是判断眼睛状态的关键。为解决眼睛定位实时性和头部旋转不确定性问题，该文提出一种基于双空间的眼睛定位方法：-】Drowsy driving can be detected by the eye states. Eye location is the key problem for eye states detection. In order to improve real-timeperformance and solve uncertainty o
DetectionMethodofDriverFatigueBasedonBlinkDuration
- ：利用红外敏感的摄像机获得司机脸部图像，通过可变性模板匹配的方法对眼睛进行定位，然后利用卡尔曼滤波的方法跟踪眼睛，得到司机的眨眼持续时间参数，以此为依据判断司机是否疲劳-This paper uses infrared camera to obtain the image of the driver’s face and locate their eyes with a deformable template in the image.
detection
- 通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲 劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法。-Image by the human eye to detect driver fatigue, driving is the main direction, face and eye location is the key link. For the weary driver Labor inspection
EyePosition
- 利用灰度做的一个人眼跟踪程序，对疲劳驾驶的初学者有一定的帮助。-Gray made use of a human eye tracking procedures, fatigue driving, be helpful for beginners.
Y1237622[1]
- 疲劳驾驶方面的论文，基于opencv。里面实现了硬件设计和详细的软件设计过程 -Fatigue driving of the paper, based on opencv. Which implements the detailed hardware design and software design process
detectdriverfatigue
- 通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲 劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法-Images by the human eye to detect driver fatigue is the main driving direction, face and eye location is the key link. For driver fatigue detection system that
检测疲劳驾驶(有详细说明)
- 用于人脸识别，检测驾驶员人员是否疲劳，在现实中有很好的应用，其算法简单易懂，适合初学者(For face recognition, detection of driver fatigue, in reality has a very good application, the algorithm is simple, easy to understand, suitable for beginners)
NLPLibSVM
- 基于安卓开发的疲劳驾驶检测系统, 可以用于识别人脸, 并判断人是否处于疲劳状态(A fatigue driving testing system based on Android, which can be used to identify faces and determine whether a person is in a state of fatigue.)
疲劳检测算法
- 疲劳检测算法，本人亲自调试过，请放心使用(Fatigue detection algorithm, I personally debugge)
疲劳驾驶检测-matlab程序
- 实现视频疲劳检测，通过判断嘴和眼睛。基于matlab实现的(Realization of video fatigue detection)
MATLAB疲劳检测系统（GUI界面）
- 1.基本内容 本设计目标在于利用Matlab强大的图像处理能力和实用便捷的编程方法，通过处理包含人脸的视频帧系列图像，灰度积分投影技术的眼睛定位方法，进而利用perclos计数，计算眨眼率，从而得到比较准确的疲劳状况。 2.具体要求 本设计基于灰度积分投影技术的眼睛定位方法，再结合perclos技术。首先通过图像预处理技术得到灰度分配较为均匀的图像,然后分别利用水平和垂直灰度积分投影曲线结合人脸的结构特征找到眼睛的位置坐标,实现了准确的眼睛定位,通过perclos技术技术眨眼率，根据先