实例介绍
【实例简介】本课题利用MATLAB/C/Visual C 软件，进行判断是否疲劳驾驶的设计。疲劳驾驶检测系统主要基于先进的模式识别和机器视觉等技术，其分析技术主要包括人脸检测、眼睛定位、眼神识别等。选取目前公认最为有效的PERCLOS法与眨眼频率相结合，对驾驶疲劳状态进行分析评测。
【实例截图】
【实例截图】
【核心代码】
TABLE OF CONTENTS ABSTRACT ....................................................................................................................... V CHAPTER 1: INTRODUCTION ....................................................................................... 3 1.1 INTRODUCTION TO DRIVER SAFETY SYSTEM ................................................... 3 1.2 INTRODUCTION TO WEB-CAM PROGRAMMING ................................................ 7 1.2.1 FUNCTIONS OF VFW .............................................................................................. 8 1.3 INTRODUCTION TO FACE DETECTION TECHNOLOGY ................................... 22 CHAPTER 2: RESEARCHES ON FACE AND EYE DETECTION .............................. 30 2.1 INTRODUCTION ..................................................................................................... 30 2.2 PRIVIOUS WORKS .................................................................................................. 30 2.2.1 BASIC UNDERSTANDING .................................................................................... 32 2.2.2 HAUSDORFF DISTANCE ...................................................................................... 34 2.2.3 DEFORMABLE TEMPLATE MATCHING ............................................................ 36 2.2.4 GEOMETRIC PROPERTIES OF TOPOGRAPHIC MANIFOLD ........................... 40 2.2.5 EYE LOCATION METHOD USING ORDINAL FEATURES ............................... 42 2.2.6 SUPPORT VECTOR MACHINES........................................................................... 43 2.3 FACE DETECTION SOFTWARE DEVELOPMENT KITS ...................................... 45 iii 2.3.1 OPENCV .................................................................................................................. 45 2.3.2 VELILOOK SDK ..................................................................................................... 45 2.3.3 LUXAND FACE SDK ............................................................................................. 51 2.4 SUMMARY ................................................................................................................ 53 CHAPTER 3: FINDING DROWSY EYES ..................................................................... 31 3.1 INTRODUCTION ....................................................................................................... 31 3.2 REAL TIME DRIVER SAFETY SYSTEM ................................................................ 31 3.2.1 SYSTEM ENVIRONMENT ..................................................................................... 31 3.2.2 SYSTEM ARCHITECTURE .................................................................................... 56 3.2.3 FACE DETECTION ................................................................................................. 57 3.2.4 EXTRACT MODULE .............................................................................................. 62 3.2.5 PROCESS MODULE ............................................................................................... 64 3.2.6 SYSTEM INTEGRATION ....................................................................................... 68 CHAPTER 4: EXPERIMENTAL RESULTS .................................................................. 55 4.1 RESULTS .................................................................................................................... 55 4.1.1 TIME CONSUMPTION ........................................................................................... 55 4.1.2 LIGHT INFLUENCE ............................................................................................... 73 iv 4.1.3 GLASSES INFLUENCE .......................................................................................... 76 4.1.4 SKIN COLORS ........................................................................................................ 79 4.1.5 ERROR ON THE SYSTEM ..................................................................................... 82 CHAPTER 5: CONCLUSION AND FUTURE WORK .................................................... 71 5.1 CONCLUSION ........................................................................................................... 71 5.2 FUTURE WORK ........................................................................................................ 85 5.2.1 LIGHT SENSOR ...................................................................................................... 86 5.2.2 PRE-CALCULATION OF THRESHOLD ............................................................... 87
好例子网口号：伸出你的我的手 — 分享！
小贴士
感谢您为本站写下的评论，您的评论对其它用户来说具有重要的参考价值，所以请认真填写。
- 类似“顶”、“沙发”之类没有营养的文字，对勤劳贡献的楼主来说是令人沮丧的反馈信息。
- 相信您也不想看到一排文字/表情墙，所以请不要反馈意义不大的重复字符，也请尽量不要纯表情的回复。
- 提问之前请再仔细看一遍楼主的说明，或许是您遗漏了。
- 请勿到处挖坑绊人、招贴广告。既占空间让人厌烦，又没人会搭理，于人于己都无利。
关于好例子网
本站旨在为广大IT学习爱好者提供一个非营利性互相学习交流分享平台。本站所有资源都可以被免费获取学习研究。本站资源来自网友分享，对搜索内容的合法性不具有预见性、识别性、控制性，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，平台无法对用户传输的作品、信息、内容的权属或合法性、安全性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论平台是否已进行审查，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》第二十二与二十三条之规定，若资源存在侵权或相关问题请联系本站客服人员，点此联系我们。关于更多版权及免责申明参见 版权及免责申明
网友评论
我要评论