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1、2009SixthInternationalConferenceonComputerGraphics,ImagingandVisualizationSoccerBallTrackingusingDynamicKalmanFilterwithVelocityControlJong-YunKim,Tae-YongKimGSAIM,Chung-AngUnivSouthKorea{idsrge@hanmail.net,kimty@cau.ac.kr}Abstractwhichteamhassuperiorityinthegameandalsowec
2、anInthispaper,weproposetheballtrackingmethodtracktheviewer'sROI(RegionofInterest)partbythatistrackingtheballadaptivelyandrobustlyinthechasingaballpositioninthesoccervideo.Butitisverysoccervideo.Inthelatestworks,peoplehaveusedthedifficulttodetectandtracktheballinthesoccervi
3、deoTypicalKalmanFiltertotracktheball.Butwhenthebecausethesizeoftheballistoosmallandithasonlyaballisdisappearingduetotheocclusionwithplayers,littleamountoffeatures.SomanyresearchersstudytheTypicalKalmanFilterhasnochoicebuttomakeapoolmethodtosolvetheseproblemsrecently.predic
4、tionandespeciallyiftheplayertaketheballforaInthepasttime,peopleusedthefeatureoflongtime,theerrorisproducedmuchmore.Toappearanceoftheobject,seemslikeacolor,shape,size,overcometheseproblems,weproposetheDynamictexturetotracktheballinthevideo.T.D'OraziousedKalmanFilteralgorith
5、m.DynamicKalmanFiltertheinformationofcolorofballand[7]Xiao-FengTongrobustlytracksaballinthedynamicconditionbyusingdetectedtheballusingfeatureofcircularityofobject[6]playerinformationandreducestheerrorinthesituationandD.Liangusedtheweightedsumoffeatureofocclusionbycontrolli
6、ngthevelocityofthestateinformationforevaluationvaluetodetecttheballinthevector.Theexperimentalresultsshowthatproposedsoccervideo[8]andK.SeousedthefeatureofDynamicKalmanFiltershowsbetterresultsthantheappearanceofaballandhethoughtthattheballmustbeTypicalKalmanFilterandtheAda
7、ptiveKalmanFiltertrackedonthelongesttimeinthesoccervideo.Sohethatisproposedtoovercomeocclusionprobleminthetrackedtheballusingthesefeatures[5].Buttherearevideosequence.manyobjectsthataresimilarinshapewiththeballinthesoccervideo,forexampleline,socksofplayers,andKeywords---Dy
8、namicKalmanFilter,Balldistortionofanimage,soitisnotrobustmethodusingTracking,VelocityCont
