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基于YUV颜色空间与局部纹理的运动阴影去除.docx

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基于YUV颜色空间与局部纹理的运动阴影去除 Title:MotionShadowRemovalBasedonYUVColorSpaceandLocalTextureAnalysis Abstract: Incomputervision,motionshadowremovalplaysacrucialroleinimprovingtheaccuracyandrobustnessofvariousapplicationssuchasobjecttracking,motiondetection,andactivityrecognition.Thispaperpresentsacomprehensivestudyonmotionshadowremoval,proposinganovelapproachbasedonYUVcolorspaceandlocaltextureanalysis.Theproposedmethodefficientlyaddressesthechallengesassociatedwithcapturingandanalyzingmotionshadowsinvariousenvironmentsandlightingconditions.Experimentalresultsonbenchmarkdatasetsdemonstratetheeffectivenessandsuperiorityoftheproposedapproachcomparedtoexistingmethodsintermsofshadowremovalperformance. 1.Introduction: Motionshadowreferstotheapparentdarkeningordistortionofanobjectcausedbytheinteractionoflightwithamovingobjectandthesurroundingenvironment.Removingmotionshadowsfromvideosequencesisessentialforaccurateobjectrecognitionandtracking.ThispaperproposesanovelapproachthatcombinesYUVcolorspaceandlocaltextureanalysistoremovemotionshadowseffectively. 2.LiteratureReview: Inrecentyears,numerousmethodshavebeenproposedtoaddressthechallengeofmotionshadowremoval.Existingapproachescanbecategorizedintotwomaingroups:color-basedmethodsandtexture-basedmethods.However,thesemethodsoftensufferfromlimitationssuchasover-smoothing,colordistortion,inaccuracies,andhighcomputationalcomplexity.Therefore,thereisaneedforamorerobustandefficientapproachtoaddresstheseissues. 3.Methodology: Theproposedapproachconsistsofseveralsteps.First,theinputvideosequenceisconvertedfromRGBtoYUVcolorspace.Thistransformationseparatestheluminance(Y)andchrominance(UV)information,whichallowsforbetteranalysisofthemotionshadows.Then,alocaltextureanalysismethodisappliedtoeachframeintheYchannel.Thisanalysishelpstodistinguishmotionshadowsfromtrueobjectmotionbasedontexturepatterns.Bycomparingthetexturefeaturesofneighboringpixels,theproposedmethodefficientlyidentifiesandremovesthemotionshadows. 4.ExperimentalResults: Toevaluatethep