中文题名：基于视频流的面部口罩识别跟踪系统的设计英文题名：Designandimplementationoffacialmaskrecognitionandtrackingsystembasedonvideostream目录一、绪论..................................................................1（一）研究的背景与意义....................................................1（二）国内外研究现状......................................................1二、相关技术概述..........................................................3（一）SSD算法..........................................................3（二）Tensorflow学习框架................................................4（三）计算机视觉开源库OpenCV............................................5三、SSD算法实现..........................................................6（一）数据集............................................................6（二）先验框生成..........................................................7（三）训练模型............................................................8（四）模型评价...........................................................10（五）预测判断和边框回归.................................................11（六）先验框筛选.........................................................11（七）图像面部口罩检测演示...............................................12四、OpenCV跟踪..........................................................13（一）OpenCV跟踪概述....................................................13（二）OpenCV的跟踪方法..................................................14（三）OpenCV的跟踪实现..................................................14五、结束语...............................................................16参考文献.................................................................17基于视频流的面部口罩识别跟踪系统的设计摘要：计算机视觉与图像处理被广泛的应用与工业，医疗，航天航空领域，其充分发展给人们的生产生活以及社会发展带来了极大的便利，在新冠疫情仍为完全结束的特殊时期，佩戴口罩能有效阻断病毒传播路径，降低感染风险。提醒进出公共场所行人佩戴口罩增加了疫情下社会管理的人力物力成本也要求目标识别进入深入研究。本文主要使用tensorflow版的SSD算法训练模型，并利用计算机视觉Opencv实现视频的图像截取和实时跟踪，实现实时口罩检测。关键词：口罩检测；Tensorflow；SSD;OpenCV；DesignandimplementationoffacialmaskrecognitionandtrackingsystembasedonvideostreamAbstract:Computervisionandimageprocessinghavebeenwidelyappliedinindustrial,medicalandaerospacefields.Theirfulldevelopmenthasbroughtgreatconveniencetopeople'sproduction,lifeandsocialdevelopment.InthespecialperiodwhenCOVID-19isstillcompletelyover,wearingmaskscaneffectivelyblockthetransmissionpathofdiseaseandvirusandreducetheriskofinfection.Remindingpedestrianstowearmasksinandoutofpublicplacesincreasesthehumanandmaterialcostsofsocialmanagementundertheepidemicsituation,andalsorequiresin-depthstudyoftargetrecognition.ThispapermainlyusestheSSDalgorithmtrainingmodeloftensorflowversion,andusescomputervisionOpenCVtoachievevideoimagecaptureandreal-timetracking,toachievereal-timemaskdetection.Keywords:Maskdetection;Tensorflow;OpenCV;convolutionalneuralnetwork一、绪论（一）研究背景及意义作为人体感官系统中信息接受量最大的感官，视觉系统对感官信息的接收和处理量在感官信息总量的比例达到了80%左右Error:Referencesourcenotfound。与听觉信息和另一种视觉信息（文字）相比，视频和图像等数据化信息具有前者不具备的直接感受和真实性，而正是这些特性，使得其在反映各种信息成为了...
