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一种基于Kalman滤波的环形模板匹配相关跟踪算法(英文).docx

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一种基于Kalman滤波的环形模板匹配相关跟踪算法(英文) ACircularTemplateMatchingCorrelationTrackingAlgorithmbasedonKalmanFilter Abstract: Thecirculartemplatematchingisawidelyusedmethodfortrackinganobjectinvideostreams.However,itissensitivetoocclusion,deformation,andilluminationchanges.Toovercomethesedrawbacks,acirculartemplatematchingcorrelationtrackingalgorithmbasedontheKalmanfilterisproposed.ThealgorithmusestheKalmanfiltertopredicttheobject'spositionandvelocity,andupdatesthetemplateduringtracking.Experimentalresultsshowthattheproposedalgorithmoutperformsexistingmethodsintermsofaccuracyandrobustness. Introduction: Objecttrackingisanimportanttaskincomputervision.Ithasvariousapplicationssuchassurveillance,robotics,andaugmentedreality.Templatematchingisapopularmethodforobjecttracking.However,traditionaltemplatematchingmethodsaresensitivetoocclusion,deformation,andilluminationchanges. Circulartemplatematchingisarobusttechniquefortargettrackingbymodelingobjectsascircles.Thecirculartemplatematchingalgorithmiscomputationallyefficient,makingitsuitableforreal-timetrackingapplications.However,circulartemplatematchingsuffersfromfalsealarms,especially,whentheobjectisoccludedorwhenilluminationchangesoccur.Therefore,itisnecessarytodeveloparobustcorrelationtrackingalgorithmbasedonthecirculartemplatematchingtechnique. ThispaperproposesanovelcirculartemplatematchingcorrelationtrackingalgorithmbasedontheKalmanfilter.Incontrasttotraditionaltemplatematchingmethods,thisalgorithmusestheKalmanfiltertoestimateobjectpositionandvelocity,andupdatesthetemplateaccordingly.TheKalmanfilterincreasesthestabilityandreliabilityofthetrackingalgorithmbypredictingthenextpositionandvelocityoftheobject. Therestofthepaperisorganizedasfollows.Section2describestheKalmanfilteranditsoperation.Section3presentstheproposedcirculartemplatematchingcorrelationtrackingalgorithmbasedontheKalmanfilter.InSection4,wepresenttheresultsoftheexperiments,andSection5concludesthepaper. KalmanFilter: TheKalmanfilterisawidelyusedalgorithmforestimatingth