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页数:5页
时间:2019-03-01
《People Tracking in Outdoor Environment Using Kalman Filter.pdf》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、2012ThirdInternationalConferenceonIntelligentSystemsModellingandSimulationPeopleTrackinginOutdoorEnvironmentUsingKalmanFilterMahmoudMirabiShahramJavadiElectricalEngineeringDepartmentAssistantProfessor,ElectricalDepartmentIslamicAZADUniversity,CentralTehranBranch
2、IslamicAzadUniversity,CentralTehranBranchTehran,IranTehran,Iranmahmoud.mirabi@gmail.comsh.javadi@iauctb.ac.irAbstract—Humantrackingindynamicsceneshasbeenancomputervision.Therearealotofdifficultiesforasingleimportanttopicofresearch.Objectsintheworldexhibitobjectt
3、rackinglikeilluminationvariability,backgroundcomplexinteractionswhencapturedinavideosequence,somenoiseandocclusions.Multipleobjecttrackingisevenmoreinteractionsmanifestthemselvesasocclusions.Avisualchallengingduetomultiobjectocclusions.trackingsystemmustbeableto
4、trackobjectswhichareMethodstosolvetheocclusionprobleminmultiplepartiallyorevenfullyoccluded.Inthispaper,weproposeaninteractingobjectstrackinghavebeenpreviouslypresented.approachfortrackingmultipleobjectsindynamicscenestoShiloh[6],Chang[7]andDockstader[8]overcame
5、handleobjectspartialocclusion.ThealgorithmconsistsoftwoocclusioninmultipleobjectstrackingbyusedfusingstepsatfirststepweuseGaussianMixtureModelasanmultiplecamerainputs.Cucchiara[9]proposedprobabilisticeffectivewaytoextractmovingobjectsfromavideosequence.masksanda
6、ppearancemodelstocopewithfrequentshapeThenacombinationalmethodisusedforshadowremoval.Thechangesandlargeocclusions.Eng[10]developedasecondstepoftheproposedalgorithmisobjecttrackingBayesiansegmentationapproachthatfusedaregion-basedframeworkbasedonKalmanfilteringwh
7、ichusesStableMarriageProblem(SMP)implementedalgorithmwhichisbackgroundsubtractionandahumanshapemodelforpeopleadaptedtoperformdataassociationandocclusiondetection,trackingunderocclusion.andfastmeanshiftcomputationresultsfortrackingduringThispaperpresentsamethodfo
8、rtrackingmovingocclusion.Ourapproachhastheadvantagesoflowcostandobjectsinanoutdoorenvironment.WeusedGaussianlowcomplexity,andcanberealizedinrealtimesystemandisMixture
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