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ID:35034636
大小:6.47 MB
页数:86页
时间:2019-03-16
《visual object tracking based on mean-shift and particle-kalman filter视觉物体跟踪基于均值漂移和particle-kalman过滤器》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、硕士留学生学位论文VisualObjectTrackingBasedonMean-shiftandParticleandandPPartP-KalmanFilter作者姓名IreneAnindaputriIswanto学科专业ElectricalandComputerEngineering指导教师李彬副教授所在学院AutomationScienceAndEngineering论文提交日期2016年5月23日VisualObjectTrackingBasedonMean-shiftandParticle-KalmanFilterADissertationSubmi
2、ttedfortheDegreeofMasterCandidate:IreneAnindaputriIswantoSupervisor:AssociateProfessorBinLiSouthChinaUniversityofTechnologyGuangzhou,China分类号:学校代号:10561学号:201422800063华南理工大学硕士学位论文VisualObjectTrackingBasedonMean-shiftandParticle-KalmanFilter作者姓名:IreneAnindaputriIswanto指导教师姓名、职称:李彬,副教授
3、申请学位级别:工程硕士学科专业名称:电气与计算机程研究方向:图像处理论文提交日期:2016年05月23日论文答辩日期:2016年06月08日学位授予单位:华南理工大学学位授予日期:2016年06月25日答辩委员会成员:主席:LUGUONENGG委员:裴海龙,苏为洲,李向阳,李彬gABSTRACTDuetotheincreasingofvideosurveillancesystemrequirements,Intelligentvideosurveillancesystemhasbecomechallengingtopicincomputervisionresea
4、rchfield.Therearefourkeystepsinintelligentvideosurveillancesystem,i.e.objectdetection,objectclassification,objecttracking,andobjectanalysis.Amongthesesteps,objecttrackingisconsideredascrucialandsignificanttaskinintelligentvideosurveillancesystem.Objecttrackingisconsideredasdifficultt
5、askbecauseofseveralproblemssuchasilluminationvariation,trackingnon-rigidobject,non-linearmotion,occlusion,andrequirementofrealtimeimplementation.Thereforeitisnecessarytobuildavisualobjecttrackingalgorithmwhichcanovercometheseproblems.Everysinglealgorithminvisualobjecttrackingalwaysha
6、sbothstrengthsanddrawbacks.Therefore,utilizingonlyonesinglealgorithmfortrackingusuallyisconsideredasinefficientbecauseeverysinglealgorithmhaslimitations.Basedonthisreason,inthisthesisatrackingalgorithmwhichcombinesmean-shiftandparticle-Kalmanfilterisproposed.Intheproposedmethod,mean-
7、shiftisusedasmastertrackerwhenthetargetobjectisnotoccluded.Whenocclusionisoccurredorthemean-shifttrackingresultisnotconvincing,particle-Kalmanfilterwillactasmastertrackertoimprovethetrackingresults.Experimentalshowsthattheproposedmethodcanworkwellindealingwithtrackingproblemssuchasno
8、n-rigidobjec
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