93基于人脸识别的疲劳驾驶检测系统的研究(毕业设计论文)

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本科毕业设计(论文)基于人脸识别的疲劳驾车检测系统的研究本科毕业设计(论文)基于人脸识别的疲劳驾车检测系统的研究学院(系):电气工程学院专业:测控技术与仪器学生姓名:学号:指导教师:答辩日期:摘要I摘要近些年由于人们的生活节奏快,工作压力大,因疲劳问题而引起的事故时有发生,疲劳驾驶而酿成的惨剧更是使我们警钟长鸣。为了解决这个问题,本次毕业设计着重讨论一种基于ASM模型的人脸识别算法和一种疲劳驾驶的面部特征判定标准。本文的主要内容是:首先,简要介绍此次研究的课题意义,再介绍人脸识别和疲劳检测的一些相关的背景知识,由于此次课题是疲劳驾驶的检测,所以介绍的重点是关于疲劳驾驶的检测研究。其次,讨论疲劳的判定方法,这一部分主要是对疲劳特征的选择研究,涉及到人眼睛和嘴的形状的疲劳特征分析,然后进行疲劳分析的综合。然后,详细介绍ASM模型的定义,在这一部分中还介绍了ASM的算法、区域收敛方法以及判定收敛的依据,另外,在这部分中将给出算法实现步骤的流程图。再后,主要内容是图像处理与识别,其中包括图像的预处理和手工描点方法所需要确定的参量,以及如何用matlab程序得到这些参量。程序的流程图也在这一章展示。关键词人脸识别;疲劳检测;疲劳特征;动态形状模型摘要IIAbstractRecentlyasthefastpaceoflifeandheavyworkpressure,accidentscausedbyfatiguehappenedfrequently.Trafficaccidentdisasteriscausingthebellstoring.Tosolvethisproblem,thegraduationprojectfocusedonafacerecognitionalgorithmbasedonASMmodelandafacialfeaturesdeterminationstandardsoffatiguedriving.Themaincontentsare:First,thereisabriefintroductionoftheresearch,therelevantbackgroundknowledgeoffacerecognitionandfatiguetestingwillbegivenlater.asitisthedetectionoffatiguedrivingthatwearetakingcareof,wewillmainlyfocusontheit.Secondly,wewilllearnthejudgingmethodsoffatigue,thepartchoiceofthefatiguecharacteristicsisstudiedhere,thefatiguecharacteristicsofeyesandmouthisanalyzed,thenwewillcomprehensivelyanalysisthem.Then,theprincipleandmethodofASMpersonfacerecognitiontechnologyisstudied.Inthissection,wewilldescribetheASMalgorithm,thecovergencemethodandthebasisofdeterminingconvergence.Theflowchartofalgorithmwillalsobegivenflowchartinthispart.Finally,wewillshowpicturepre-treatmentmethodsandpicturerecognition,thispartincludestheimagepre-processing,theneededparametersandhowtousethematlabprogramtogettheparameters.Theideaandflowchartofthemainprogramwillbegiven.KeywordsFaceRecognition;FatigueDetection;FatigueCharacteristics;ActiveShapemodelsIII目录摘要.......................................................................................................................IAbstract................................................................................................................II第1章绪论......................................................................................................11.1课题背景和意义..................................................................................11.2研究现状..............................................................................................31.3本文主要研究内容..............................................................................6第2章疲劳分析和疲劳检测..........................................................................82.1疲劳驾驶特征综述..............................................................................82.2具体特征分析......................................................................................92.2.1疲劳驾驶眼部特征分析..............................................................92.2.2疲劳驾驶嘴的特征分析............................................................102.2.3原始数据的获取........................................................................122.3眼睛和嘴特征的综合分析................................................................132.4本章小结............................................................................................14第3章ASM人脸识别算法..........................................................................153.1ASM模型的定义..............................................................................153.2ASM人脸识别的优势......................................................................153.2.1ASM搜索算法的特点..............................................................153.2.2几种识别方式对比分析............................................................163.3ASM的模型建立..............................................................................173.4ASM模型的搜索算法......................................................................193.5流程设计思路....................................................................................223.6本章小结............................................................................................23第4章图像处理和识别................................................................................244.1图像预处理的必要性........................................................................244.2常用光照预处理技术........................................................................244.2.1基于直方图的预处理方法........................................................254.2.2线性变换....................................................................................254.2.3对数变换....................................................................................26IV4.2.4指数变换....................................................................................274.2.5光照预处理方法选择................................................................274.3图片选取策略....................................................................................284.4图像手工描点的实现........................................................................284.4.1要确定的要素分析....................................................................284.4.2要素值的确定方法....................................................................294.5选点策略................................................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