基于OpenCV的步態(tài)識(shí)別系統(tǒng).pdf

1、獨(dú)創(chuàng)性聲明本人聲明所呈交的學(xué)位論文是本人在導(dǎo)師指導(dǎo)下進(jìn)行的研究工作及取得的研究成果據(jù)我所知，除了文中特別加以標(biāo)注和致謝的地方外，論文中不包含其他人旱冬發(fā)毒事撰羅過(guò)的研究成墨，也不鳥(niǎo)含為獲蜘和基墊聱育機(jī)構(gòu)的學(xué)位或證書(shū)而使用過(guò)的材料與我Pl：r作的同志對(duì)本研究所做的任何貢獻(xiàn)均已在論文中作了明確的說(shuō)明并表示謝意；學(xué)位論文作者獬喳卑，弓簽字日期：砂年占月夠日學(xué)位論文版權(quán)使用授權(quán)書(shū)本學(xué)位論文作者完全了螄等有關(guān)保留’：使用學(xué)位論文的規(guī)定有權(quán)保擘并向

2、國(guó)家有關(guān)部門孛機(jī)構(gòu)送交論文的復(fù)印件和磁盤(pán)，允許論文被查閱和借閱本人授螄以將學(xué)位論文的全部或部分內(nèi)容編入有關(guān)數(shù)據(jù)庫(kù)進(jìn)行檢索，可以采用影印、縮印或掃描等復(fù)制手段保存、匯編學(xué)位論文(保密的學(xué)位論文在解密后適用本授權(quán)書(shū))學(xué)位論文作者簽名覆茸彳諺導(dǎo)師簽名：簽字日期：2移句年6月彭日簽字日期：學(xué)位論文作者畢業(yè)去向：工作單位：’電話：通訊地址：郵編：安徽大學(xué)碩士學(xué)位論文基于OpenCV的步態(tài)識(shí)別系統(tǒng)AbstractHumanactivityanaly

3、sishasattractedgreatinterestfromcomputervisionresearchersduetoitspromisingapplicationsinmanyareassuchasautomatedvisualsurveillancecomputerhumaninteractions，andmotion—basedidentificationanddiagnosisGaitfeaturesareuniqueGa

4、itrecognitionisoneofGeneralbiologicalcharacteristics，itfeaturesincludeslongrange，noncontactdifficulthideandSOonItovercomesthetraditionalpattemrecognition(irisrecognition，fingerprintrecognition，etc)inhighresolutionandclos

5、erangeGaitrecognitionhasagoodrecognitioninthecaseoflowresolutionresults，therefore，ithasawideappliedfutureinintelligentvideosurveillanceThisarticlemainlystudiesgaitvideoimagesprovidedbytheCASInstituteofAutomationusingOpen

6、CVtobuildagaitrecognitionsystemThefollowingareitsmaintasksFirst，theextractionofhumanobjectBecauseofthecomplexbackground，weestablishastablebackgroundmodelbyusingtheadaptivebackgroundmodelingandgetthegoalofhumanmotionbyusi

7、ngbackgroundsubtractionAsfortheexistenceoftheshadowofthehumanbodyandinanitythisarticlemakesshadowdetectionandeliminationbyusingcolorspaceconversionrespectivelyandhandleshumantargetimagesoothinglybyusingregionalfillingand

8、morphologicalfilteringonsmoothingSecond，thegaitfeatureextractionBecausethenumberofhi曲dimensionalvideoimagesishi曲，thisarticleadoptsagaitenergyimage，whichisawayofturninggaitcycleintoaframeimageGaitenergyimagenotonlysavesst

9、oragespaceandcomputingtime，butalsoisnotsensitivetothenoiseonthesingleframeItusesthe(2D)2PCAfeaturesextractedtoreducethedimensionsSOastosolvethecurseofdimensionalityandthenanalyzesthecontributionofvalueofGaitfeaturesgiven

10、bythegaitcharacteristicsofeachfeaturevectorwithweighted(2D)zPCAThusitwelldefinedthemainfeaturesofvectoraffectinggaitrecognitionrateThird，thegaitidentificationItanalyzestheHMMalgorithmandmakesuseofHMMtoclassificationtrain