基于视频的行人流量检测研究

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1、四川大学硕士学位论文基于视频的行人流量检测研究姓名：高枝宝申请学位级别：硕士专业：通信与信息系统指导教师：何小海20060518嚣州天睾磺}?学链论交下了缀好的基础。最后针对不同行人头部(头发)颜色特征不嗣以及尉⋯行人目标在近{g帧之间的颜色都园光照剧烈交化、旋转变形等原因丽不同这～特征，本文采用基于豳标人头颜色直方图的自适应均值平移算法进行目标人头的跟踪：并静对均德平移算法在蹑踪j璧程中会造成匿标馥端丢失，鞋标错误鞭黥的问题，本文提出了相应的位移预测判断，跟踪目标重新初始化簿思路，使得颜色痿惑霸形拔僚嚣萤

2、惠富效结合，艘功地勰涤了该冀法在使翊过程孛遇到豹闽题。最后根据检测和跟踪到的运动目标信息，进行数照的统计分析。为了减少运算量，提高处理遵发，并对最后豹计数精度进行宏观控制，本文摄斑利用连续顿中运动目标的总体信息爨曲线来摊除对菲人头筷鳐熊疆，这一步大大地提黼了系统的处理速度，并对该曲线图中近邻谷点问宽度和离度的诗葵分辑可墩实蜣黠诗数鞲凄进行宏鼹控割，经褥谤数更窭揍确、哥靠。实验取得较为满意的效果。本文分为七个部分详迷了上述思想。关键词：运耱蟊标检测HOS基线梭溺霞嚣分割均穰平移蟊鞲鼹踪Ill

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4、卜学位论文DetectionofPedestriallFlowBasedOilVideoMajor：ComunicationandInformationSystemPostgraduate：GaoZhibaoSupervisor：HeXiaohaiAbstract：Nowadays，howtotrackandaccountpedestrianflowaccuratelyinvisiblelightisaveryactiveresearchnewareaincomputevisionsystem．Pedest

5、riandetection。flowanalysisintheMTR，junctionsandthesupermarkethasawiderangeofapplicationsdemand；Especiallyinurbantrafficenvironment，thetechnologyisobvioussocialandeconomicbenefits．Thecomputervisiontechnologycancreateasmartmanagementsystemovertheuseofcompute

6、rvisionandimageprocessingmethods，therebyprovidingamoreadvancedandviableitsprocessingprogra唧es·Inalargenumberofdomesticandforeigninformationandresearchaccess，theauthorfoundthatthemodelbasedonvisualpedestrianflowdetectionorresearchintransportationsystemisbla

7、nk，onlyaverysmallamountofliteratureoncommercialentrances．Atpedestriandetection，thedistancebetweenpedestrainandcameramorecloser，colourinformationmorevague，rotarymoreintense，pedestriandeformationlargely，whichdecidedthisresearchworkwillbemostchallenging．Inthi

8、spaper，theauthoradvancedtherelevantsolutions．First，basedontheneighbouringcolumnandrow，setdifferentthresholdstobinarytheframe．SOwecangettheedgeoftheobject．Then，anewheadcharactercurvedetectionandextractionalgorithmsispresentedaimingatsolvingIll鲫川人学硕l学垃沦文last

9、problems．Atthesametime，templatematchingandpseudo—targetcurveexcludingisused，Intheend，thedetectedheadistrackedbyimprovedmeanshiftalgorithms．Toreducethevolumeofoperationsandimproveprocessingspeedandmacrocontrol