基于计算机视觉的人体运动分析

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1、北京交通大学硕士学位论文ABSTRACTABSTRACTABSTRACT：Humanmotionanalysisbasedoncomputervisionhasbeenasignificantresearchdirectioninmachinevisionandimageprocessingduringthepastfewyears．Humanmotionanalysissystemusuallyinvolvesimagepre—processing，objectdetection，trackingandre

2、cognition，comprehensionanddescriptionofmovementbehavior．Themainpurposeofdevelopmentofcomputervisionistomakethecommunicationbetweencomputersandhumansmooth．Meanwhile，computervisionshouldmakecomputersunderstandthelanguage，gesturesandotheractionsofhuman．Finally

3、,computersshouldbeabletoaccomplishthetaskbeyondhumanbrain．Humanmotionanalysissystemhasbroadapplicationprospectsandeconomicvaluesinvirtualreality,smartsurveillance，human—computerinteraction，videoretrieval，medicaldiagnosticsandotherfields．However,duetothecomp

4、lexityandparticularityofhumanmovement，theresearchisstillinitsinfancy．Forexample，intheprocessofmovementtracking，experimentersneedtomarktheinitialpointofinitialframemanually；Intermsofmovementrecognition，themachinelearningmethodswhicharesuitableforhumanmovemen

5、tanalysisaredefective．Combinedwiththecurrentresearchstatusandcharacteristiesofhumanmotionanalysis，thispaperstudieshumanmotionanalysisinfixedbackgroundonmonocularvisionandcarriesouttheinnovativeworkintargetdetection，humanactionrecognitionandtargettracking．Th

6、emainworkofthispaperincludes：1．Inrespectofmovingtargetdetection，thepapersummariesthecurrentmovingtargetdetectiontechniques，showstheexperimentalresultsofpartlyalgorithms，andfocusesontheanalysisofbackgroundsubtractionmethodundermonocularcamera．Primarily,thepa

7、perobtainsapreliminaryoutlineofhumanbodythroughthebackgroundsubtractionmethod，andremovesnoisethroughmathematicalmorphology．Inordertoobtainsmoothtargetcontours，thepaperexecutesthealgorithmofjudgingthesizeofimageconnecteddomain，setsaspecificthreshold，andremov

8、esnoiseblockconnecteddomainswhicharesmallerthanthethreshold．2．Inrespectofhumanactionrecognition，thepaperselects10bodymotioncharacteristics，includingaspectratioofminimumoutsiderectangle，rectangledegree，