MATLAB疲劳检测perclos定理.zip

上传者: threexiu | 上传时间: 2021-03-22 14:25:22 | 文件大小: 4.62MB | 文件类型: ZIP
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。包括lun文初稿撰写。 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,根据先验值得到是否疲劳。 二、算法原理 视频输入——预处理去除非人脸区域——人脸定位——人眼定位(灰度积分投影)——眼睛张合度——perclos技术统计——输出结果

文件下载

资源详情

[{"title":"( 47 个子文件 4.62MB ) MATLAB疲劳检测perclos定理.zip","children":[{"title":"MATLAB疲劳检测perclos定理","children":[{"title":"打开方式.txt <span style='color:#111;'> 601B </span>","children":null,"spread":false},{"title":"video_images","children":[{"title":"01.jpg <span style='color:#111;'> 29.74KB </span>","children":null,"spread":false},{"title":"05.jpg <span style='color:#111;'> 29.60KB </span>","children":null,"spread":false},{"title":"27.jpg <span style='color:#111;'> 132.54KB </span>","children":null,"spread":false},{"title":"26.jpg <span style='color:#111;'> 130.59KB </span>","children":null,"spread":false},{"title":"15.jpg <span style='color:#111;'> 132.56KB </span>","children":null,"spread":false},{"title":"07.jpg <span style='color:#111;'> 130.59KB </span>","children":null,"spread":false},{"title":"14.jpg <span style='color:#111;'> 132.02KB </span>","children":null,"spread":false},{"title":"2.jpg <span style='color:#111;'> 29.60KB </span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'> 29.74KB </span>","children":null,"spread":false},{"title":"04.jpg <span style='color:#111;'> 29.63KB </span>","children":null,"spread":false},{"title":"25.jpg <span style='color:#111;'> 131.86KB </span>","children":null,"spread":false},{"title":"28.jpg <span style='color:#111;'> 132.89KB </span>","children":null,"spread":false},{"title":"3.jpg <span style='color:#111;'> 29.63KB </span>","children":null,"spread":false},{"title":"5.jpg <span style='color:#111;'> 29.60KB </span>","children":null,"spread":false},{"title":"19.jpg <span style='color:#111;'> 131.13KB </span>","children":null,"spread":false},{"title":"21.jpg <span style='color:#111;'> 132.54KB </span>","children":null,"spread":false},{"title":"11.jpg <span style='color:#111;'> 132.89KB </span>","children":null,"spread":false},{"title":"08.jpg <span style='color:#111;'> 132.83KB </span>","children":null,"spread":false},{"title":"4.jpg <span style='color:#111;'> 29.63KB </span>","children":null,"spread":false},{"title":"23.jpg <span style='color:#111;'> 132.56KB </span>","children":null,"spread":false},{"title":"10.jpg <span style='color:#111;'> 133.31KB </span>","children":null,"spread":false},{"title":"22.jpg <span style='color:#111;'> 131.86KB </span>","children":null,"spread":false},{"title":"24.jpg <span style='color:#111;'> 133.91KB </span>","children":null,"spread":false},{"title":"17.jpg <span style='color:#111;'> 130.97KB </span>","children":null,"spread":false},{"title":"18.jpg <span style='color:#111;'> 131.07KB </span>","children":null,"spread":false},{"title":"13.jpg <span style='color:#111;'> 132.09KB </span>","children":null,"spread":false},{"title":"16.jpg <span style='color:#111;'> 130.66KB </span>","children":null,"spread":false},{"title":"29.jpg <span style='color:#111;'> 132.89KB </span>","children":null,"spread":false},{"title":"12.jpg <span style='color:#111;'> 132.54KB </span>","children":null,"spread":false},{"title":"03.jpg <span style='color:#111;'> 29.63KB </span>","children":null,"spread":false},{"title":"20.jpg <span style='color:#111;'> 133.91KB </span>","children":null,"spread":false},{"title":"06.jpg <span style='color:#111;'> 130.97KB </span>","children":null,"spread":false},{"title":"30.jpg <span style='color:#111;'> 131.07KB </span>","children":null,"spread":false},{"title":"02.jpg <span style='color:#111;'> 29.60KB </span>","children":null,"spread":false},{"title":"09.jpg <span style='color:#111;'> 133.91KB </span>","children":null,"spread":false}],"spread":false},{"title":"原理图perclos.png <span style='color:#111;'> 883.80KB </span>","children":null,"spread":false},{"title":"如何导入程序.doc <span style='color:#111;'> 346.50KB </span>","children":null,"spread":false},{"title":"ceshi.jpg <span style='color:#111;'> 24.49KB </span>","children":null,"spread":false},{"title":"video.avi <span style='color:#111;'> 509.37KB </span>","children":null,"spread":false},{"title":"GUI.fig <span style='color:#111;'> 19.43KB </span>","children":null,"spread":false},{"title":"目录参考.doc <span style='color:#111;'> 36.08KB </span>","children":null,"spread":false},{"title":"GetFaceDatabase.m <span style='color:#111;'> 700B </span>","children":null,"spread":false},{"title":"警报.wav <span style='color:#111;'> 78.17KB </span>","children":null,"spread":false},{"title":"ResultOut.m <span style='color:#111;'> 466B </span>","children":null,"spread":false},{"title":"GetValideDatabase.m <span style='color:#111;'> 722B </span>","children":null,"spread":false},{"title":"GUI.m <span style='color:#111;'> 10.02KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明