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1、Neurocomputing74(2011)3823–3831ContentslistsavailableatSciVerseScienceDirectNeurocomputingjournalhomepage:www.elsevier.com/locate/neucomRecentadvancesandtrendsinvisualtracking:Areviewa,c,1a,b,nada,eHanxuanYang,LingShao,FengZheng,LiangWang,ZhanSongaShenzhenInstituteso
2、fAdvancedTechnology,ChineseAcademyofSciences,ChinabDepartmentofElectronicandElectricalEngineering,TheUniversityofSheffield,UKcDepartmentofElectronicEngineering,SouthChinaAgriculturalUniversity,ChinadNationalLabofPatternRecognition,InstituteofAutomation,ChineseAcademyo
3、fSciences,ChinaeTheChineseUniversityofHongKong,HongKong,ChinaarticleinfoabstractArticlehistory:Thegoalofthispaperistoreviewthestate-of-the-artprogressonvisualtrackingmethods,classifythemReceived3April2011intodifferentcategories,aswellasidentifyfuturetrends.Visualtrac
4、kingisafundamentaltaskinmanyReceivedinrevisedformcomputervisionapplicationsandhasbeenwellstudiedinthelastdecades.Althoughnumerous25July2011approacheshavebeenproposed,robustvisualtrackingremainsahugechallenge.DifficultiesinvisualAccepted28July2011trackingcanariseduetoa
5、bruptobjectmotion,appearancepatternchange,non-rigidobjectstructures,CommunicatedbyM.Wangocclusionandcameramotion.Inthispaper,wefirstanalyzethestate-of-the-artfeaturedescriptorswhichAvailableonline24August2011areusedtorepresenttheappearanceoftrackedobjects.Then,wecateg
6、orizethetrackingprogressesintoKeywords:threegroups,providedetaileddescriptionsofrepresentativemethodsineachgroup,andexaminetheirVisualtrackingpositiveandnegativeaspects.Atlast,weoutlinethefuturetrendsforvisualtrackingresearch.Featuredescriptor&2011ElsevierB.V.Allrigh
7、tsreserved.OnlinelearningContexturalinformationMonteCarlosampling1.Introductionobjectmotionwassmoothandnoabruptappearancechange.However,tremendousprogresshasbeenmadeinrecentyears.VisualtrackingisanimportanttaskwithinthefieldofcomputerSomealgorithmscandealwiththeproble
8、msofabruptappear-vision.Theproliferationofhigh-endcomputers,theavailabilityofancechange,leavingoutfromscenesanddrifting,etc.Tobuild
