ARobustMovingTargetShadowRemovalandRepairAlgorithm

doi:10.3969/j.issn.1006-2475.2018.07.020

Abstract

Abstract: Fortheproblemsofshadowregionsinterferencetothemotionforegroundandthelimitationsofthenormalizedcross-correlationshadowdetectionmethod,thispaperproposesashadowdetectionmethodthatnormalizesthecross-correlationcoefficientfusionsymmetrycrossentropy,andaccordingtothedistributionlawoftheforegroundofeachneighborhoodbasedontheshadowareaandmisdetection,ashadowmisdetectionremovalmethodbasedonshadowcontourpixelneighborhoodinformationisproposed.Theforegroundvoidsandfracturesformedbyshadowremovalarerecovered,andthecompleteandaccuratemotionforegroundisfinallyobtained.Comparedwiththenormalizedcross-correlationmethodandtheSVMsupportvectormachinemethod,theforegroundreservationrateisrespectivelyincreasedby40.4%and6.3%,andthetime-consumingisapproximately1/153oftheSVMsupportvectormachinemethod.

Key words: shadowremoval, shadowrepair, movingtarget

CLC Number:

TP391

ZHANGZe-hong,XUGui-li,XUYang,CHENGYue-hua,WANGZheng-sheng. ARobustMovingTargetShadowRemovalandRepairAlgorithm[J]. Computer and Modernization, 2018, 0(07): 98-.

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