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JOURNALOFXIANJIAOTONGUNIVERSITYVolOctTPAXMovingShadowDetectionBasedonMultiInformationFusioninTrafficMonitoringSystemXiaoMeiHanChongzhaoZhangLeiSchoolofElectronicsandInformationEngineeringXianJiaotongUniversityXianChinaTaibaiCampusChanganUniversityXianChinaAbstractAimingattheproblemthatshadowscastbymovingobjectsintrafficsurveillancesystemweredetectedincorrectlyasaforegroundtargetbyallmostofthecurrentmovingdetectionalgorithmamethodofmovingshadowdetectionbasedonmultiinformationfusionwasproposedwhichcaneffectivelydetectthecastshadowofamovingvehicleintrafficimagesequenceLuminanceinformationchrominanceinformationandedgegeometryinformationwereusedrespectivelytodetectthecandidateshadowregionsFinallyanlogicANDoperationwasperformedontheabovecandidateshadowregionsinordertofindthefinalshadowregionsComparedtootherwaystheproposedalgorithmhasbetterresultsincludingtheforegroundsegmentationfromthemovingshadowanddetectionprecisionsotheforegroundcanbeextractedsuccessfullyThealgorithmhasbeentestedunderdifferentconditionsThesimulationresultsshowthatfortheshadowscausedbyforegroundwithdifferentcolorandsizethismethodcandiscriminatethetargetandshadowregioneffectivelyandrobustlyKeywordsmovingshadowdetectionmultiinformationfusiontrafficmonitoringsystemHSVCBHSVTISIxyIFxyIBxyTIMxyxyMIFIBTIHSVSHxy|HFxyHBxy|THMxyHFHBTHHSVFaSobelEcEMMEMEMWEWEEMbaFbMcEdIEeHEfCHgCEhIMiISjSSkWSlSEbbIEdIExyExyWExyMxyIEHEeHEHECHfVECVCEgCExyExyCVxyCHxyCEHCVCIMIMxyHCxyVCxyIMhMIMISiISxyMxyIMxyWEiISISISWEWESSxyISxyWExySSSSjSSbSSWEWSkSSWSSElSExySSxyWSxySxySIxySHxySExyHSVHSVHSVabcdeHSVfghHSViabcdeHSVfghHSVinoguchiKShadoweliminationmethodformovingobjectdetectionAFourteenthInternationalConferenceonPatternRecognitionBrisbaneAustraliaBevilacquaAEffectiveshadowdetectionintrafficmonitoringapplicationsAThethInternationalConferenceinCentralEuropeonComputerGraphicsVisualizationandComputerVisionPlzenBoryCzechRepublicFungGSKYungNHCPangGKHetalTowardsdetectionofmovingcastshadowsforvisualtrafficsurveillanceAIEEEInternationalConferenceonSystemsManandCyberneticsTucsonUSACucchiaraRGranaCPiccardiMetalDetectingobjectsshadowsandghostsinvideostreamsbyexploitingcolorandmotioninformationAthInternationalConferenceonImageAnalysisandProcessingPalermoItalySalvadorECavallaroAEbrahimiTShadowidentificationandclassificationusinginvariantcolormodelsAIEEEInternationalConferenceonAcousticsSpeechandSignalProcessingSaltLakeUSAWangJMChungYCChangCLetalShadowdetectionandremovalfortrafficimagesAIEEEInternationalConferenceonNetworkingSensingandControlTaipeiTaiwan
本文标题:交通监控系统中基于多源信息融合的运动阴影检测
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