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Description: 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 in a state of fatigue.
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Size: 230674 |
Author: 张冥 |
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Description: 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 in a state of fatigue.
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Size: 230400 |
Author: 张冥 |
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Description: ：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。经实验验证：该方法实时性
好，可用于不同背景、光照、旋转和偏转角度，以及睁闭眼、戴眼镜等多种复杂条件下的眼睛定位。-: Adoption of the human eye images to detect driver fatigue is the main driving direction, face and eyes positioning is the key link. For driver fatigue detection system, combined with the image processing and pattern recognition technology, presents a human face on the Department of the characteristics of the human eye positioning methods. After experimental verification: the method in real time and can be used for different backgrounds, light, rotation and偏转角度, as well as the open eyes closed, wearing glasses and many other complex under the conditions of the eye positioning.
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Size: 94208 |
Author: 张海水 |
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Description: 基于DSP的驾驶疲劳检测系统
非常好的设计资料
-DSP-based driver fatigue detection system is very good design information
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Size: 4436992 |
Author: 留置 |
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Description: 基于视觉的疲劳驾驶监测关键技术研究
非常好的设计资料
-Vision-based driver fatigue monitoring of critical technology research design very good information
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Size: 6714368 |
Author: 留置 |
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Description: 实时采集PC机的摄像头数据。可以检测被测试人眼睛的状态（睁眼或闭眼）；进行疲劳判断。可应用到驾驶员疲劳检测中。-Real-Time Data Acquisition PC-camera data. Person being tested can detect the eyes of the state (eyes open or closed) carried out to determine fatigue. Can be applied to the driver fatigue detection.
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Size: 1140736 |
Author: adamdcg |
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Description: 图像处理，首先定位人脸，再识别眼睛状态，判断是否疲劳驾驶-Image processing, first of all, positioning people face, and then identify the eye status, to determine whether driver fatigue
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Size: 288768 |
Author: kyi xuai |
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Description: 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 the degree of fatigue
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Size: 2266112 |
Author: 金无眠 |
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Description: Driver Fatigue Detection Based on Eye Tracking
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Size: 1024 |
Author: morteza |
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Description: 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 system, combined with image processing and pattern recognition techniques, presents a human face based on characteristics of the human eye location methods.
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Size: 224256 |
Author: 张正荣 |
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Description: 2009年美国西肯塔基大学的一篇毕业论文：实时驾驶安全系统。采用最新人脸分析技术，检测驾驶者的疲劳程度，对人脸识别或者安全驾驶有研究的朋友，可以参考参考-Western Kentucky University in 2009, the United States a thesis: Real-time driving safety systems. Face using the latest analytical techniques to detect the driver' s fatigue level, or safe driving on the face recognition studies have friends, you can refer to reference
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Size: 2787328 |
Author: ma |
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Description: 人脸姿态估计是指确定输人图像中的人脸在
3D空间中的姿态。姿态与视角有直接的对应关系，因此，姿态估计问题也称为人脸视角估计。人脸姿态估计在人脸识别、计算机游戏、虚拟现实和司机疲劳检测系统等方面都有着广泛的应用。-Face pose estimation is to determine the input image of face gesture in 3D space. Attitude and perspective has a direct correspondence between, therefore, pose estimation problem is also known as face angle estimation. Face Pose Estimation in face recognition, computer games, virtual reality and the driver fatigue detection system and so on are widely used.
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Size: 392192 |
Author: chning |
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Description: 驾驶员疲劳检测的参考文献，具有较好的学术性。-Driver fatigue detection references, has a good academic.
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Size: 4866048 |
Author: mao |
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Description: 已有的眼睛状态识别方法不仅计算量大，而且易受环境因素(如光照条件)的影响。为此本文提出了一种新的眼睛状态识别方法:首先对实时拍摄的图像利用运动信息和肤色特征进行人脸检测 然后在检测到的上半部人
脸区域采用Adaboost算法只检测驾驶员正常状态下睁开的眼睛，把检测
的眼睛与眉毛分割出来制成正常睁开眼睛模板 最后把眼睛模板与未检测
到眼睛的上半部人脸区域进行匹配，当该区域的最大相似度值小于某闽值
时认为眼睛是闭合状态，否则认为眼睛是睁开状态。并根据眼睛状态计算
眼睛平均闭合时间和PERCLOS值，与事先设定的疲劳闽值进行比较判断出
驾驶员的疲劳状态
-Driver fatigue is very dangerous condition created when a person is suffering symptoms of fatigue while driving, often resulting from the hypnotic (Inducing sleep soporific or hypnosis) effect especially during nighttime (peak levels at night can be 10 times daytime levels) driving either falling asleep at the wheel or so exhausted they made serious – and fatal – driving errors.
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Size: 3050496 |
Author: 力量 |
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Description: 疲劳驾驶检测的论文，花钱下下来的哦！！值得参考学习-Driver fatigue detection paper, spend the next down Oh! ! It is also useful to learn
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Size: 3313664 |
Author: liuli |
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Description: 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 combines image processing and pattern recognition is proposed based Facial Feature Localization of human eyes
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Size: 293888 |
Author: 邢春 |
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Description: 驾驶员的疲劳检测，基于Adaboost的原理，很有实用价值-Driver fatigue detection, based on Adaboost
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Size: 543744 |
Author: 唐宇 |
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Description: 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.
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Size: 5151744 |
Author: 王文瑾 |
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Description: Automated Detection of Driver Fatigue Based
on Entropy and Complexity Measures ieee 2014 PAPER
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Size: 561152 |
Author: KPSS |
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Description: 基于FPGA的疲劳驾驶检测系统设计。本系统集图像采集、存储、算法处理、报警于一体。利用FPGA并行处理数据的特
点使系统检测速度达到了视频源25帧／秒的速度，满足了实时性要求。该系统检测准确
率较高、体积小、功耗小、成本低，市场前景广阔。-Driver fatigue detection system based on FPGA design. The system combines image acquisition, storage, processing algorithms and alarm in one. Use special FPGA parallel processing of data
Points to make the system detects the speed of the video source has reached a rate of 25 frames/second, to meet the real-time requirements. The system detects the exact
Higher rate, small size, low power consumption, low cost, broad market prospects.
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Size: 7248896 |
Author: 王其 |
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