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1、Neurocomputing74(2011)3823–3831ContentslistsavailableatSciVerseScienceDirectNeurocomputingjournalhomepage:www.elsevier.com/locate/neucomRecentadvancesandtrendsinvisualtracking:Areviewa,c,1a,b,nada,eHanxuanYang,LingShao,FengZheng,LiangWang,ZhanSongaSh
2、enzhenInstitutesofAdvancedTechnology,ChineseAcademyofSciences,ChinabDepartmentofElectronicandElectricalEngineering,TheUniversityofSheffield,UKcDepartmentofElectronicEngineering,SouthChinaAgriculturalUniversity,ChinadNationalLabofPatternRecognition,Ins
3、tituteofAutomation,ChineseAcademyofSciences,ChinaeTheChineseUniversityofHongKong,HongKong,ChinaarticleinfoabstractArticlehistory:Thegoalofthispaperistoreviewthestate-of-the-artprogressonvisualtrackingmethods,classifythemReceived3April2011intodifferen
4、tcategories,aswellasidentifyfuturetrends.VisualtrackingisafundamentaltaskinmanyReceivedinrevisedformcomputervisionapplicationsandhasbeenwellstudiedinthelastdecades.Althoughnumerous25July2011approacheshavebeenproposed,robustvisualtrackingremainsahugec
5、hallenge.DifficultiesinvisualAccepted28July2011trackingcanariseduetoabruptobjectmotion,appearancepatternchange,non-rigidobjectstructures,CommunicatedbyM.Wangocclusionandcameramotion.Inthispaper,wefirstanalyzethestate-of-the-artfeaturedescriptorswhichAv
6、ailableonline24August2011areusedtorepresenttheappearanceoftrackedobjects.Then,wecategorizethetrackingprogressesintoKeywords:threegroups,providedetaileddescriptionsofrepresentativemethodsineachgroup,andexaminetheirVisualtrackingpositiveandnegativeaspe
7、cts.Atlast,weoutlinethefuturetrendsforvisualtrackingresearch.Featuredescriptor&2011ElsevierB.V.Allrightsreserved.OnlinelearningContexturalinformationMonteCarlosampling1.Introductionobjectmotionwassmoothandnoabruptappearancechange.However,tremendouspr
8、ogresshasbeenmadeinrecentyears.VisualtrackingisanimportanttaskwithinthefieldofcomputerSomealgorithmscandealwiththeproblemsofabruptappear-vision.Theproliferationofhigh-endcomputers,theavailabilityofancechange,leavingoutfromscenesanddrifting,etc.Tobuild
