【《基于运动相机的多目标跟踪算法研究国内外文献综述》3900字】

第[60]提出了用于以视频为中心的视频分析稳定、帧内对象稳定和跟踪的可靠方法，可以对摄像机路径进行联合估计和滤波，并且可以处理场景中的多个运动对象。针对目前的多目标跟踪算法研究情况，大多数先进算法都基于静止相机下对行人进行跟踪，运动相机相关算法研究较少，并且研究者还在致力于提高运动相机下多目标跟踪性能。参考文献曹松晓.随机概率模型视觉目标跟踪理论及应用研究[D].浙江大学,2013.樊俐彤.基于相对运动网络和贝叶斯概率估计的多目标跟踪方法研究[D].北京交通大学,2018.PfisterT,CharlesJ,ZissermanA.FlowingConvNetsforhumanposeestimationinvideos[C].2015IEEEInternationalConferenceonComputerVision(ICCV),2015:1913-1921.ChoiW,SavareseS,Aunifiedframeworkformulti-targettrackingandcollectiveactivityrecognition[C].ProceedingsoftheEuropeanConferenceonComputerVision(ECCV),Florence,Italy,2012:215–230.HuW,TanT,LiangW,etal.ASurveyonVisualSurveillanceofObjectMotionandBehaviors[J].IEEETransactionsonSystemsManandCyberneticsPartC(ApplicationsandReviews),2004,34(3):334-352.WangXG,Intelligentmulti-cameravideosurveillance:areview-ScienceDirect[J].PatternRecognitionLetters,2013,34(1):3-19.AlademM,RawashdehSA.ACombinedVision-BasedMultipleObjectTrackingandVisualOdometrySystem[J].IEEEsensorsjournal,2019,19(23):11714-11720.YangJ,MoW,MeiY.Multi-ObjectPortionTrackingin4DFluorescenceMicroscopyImageryWithDeepFeatureMaps[C].2019IEEE/CVFConferenceonComputerVisionandPatternRecognitionWorkshops(CVPRW).IEEE,2019:1087-1096.CandamoJ,ShreveM,GoldgofDB,etal.UnderstandingTransitScenes:ASurveyonHumanBehavior-RecognitionAlgorithms[J].IEEETransactionsonIntelligentTransportationSystems,2010,11(1):206-224.UchiyamaH,MarchandE.ObjectDetectionandPoseTrackingforAugmentedReality:RecentApproaches[C].18thKorea-JapanJointWorkshoponFrontiersofComputerVision(FCV),2012:1–8.蒋恋华，甘朝晖，蒋曼．多目标跟踪综述[J]计算机系统应用,2010,19(12):271-275．中华人民共和国国务院.中国制造2025[Z].2015朱赵胜.目标运动的分析及其在视频多目标跟踪的应用研究[D].电子科技大学,2020.LuoWH,XingJL,AntonM,etal.Multipleobjecttracking:Aliteraturereview[J].ArtificialIntelligence,2021,293:103448.YangB,HuangC,NevatiaR.Learningaffinitiesanddependenciesformulti-targettrackingusingaCRFmodel[C].The24thIEEEConferenceonComputerVisionandPatternRecognition(CVPR),ColoradoSprings,CO,USA,2011:1233–1240.PellegriniS,EssA,SchindlerK,etal.Gool,"You'llneverwalkalone:modelingsocialbehaviorformulti-targettracking[C].2009IEEE12thInternationalConferenceonComputerVision(ICCV),2009:261-268.KollerD,WeberJ,MalikJ.RobustMultipleCarTrackingwithOcclusionReasoning[J].SpringerBerlinHeidelberg,1994:189–196.BetkeM,HaritaogluE,DavisLS.Real-timemultiplevehicledetectionandtrackingfromamovingvehicle[J].MachineVision&Applications,2000,12(2):69-83.Wei-Lwun,Ting,Jo-Anne,etal.LearningtoTrackandIdentifyPlayersfromBroadcastSportsVideos[J].IEEETransactionsonPatternAnalysisandMachineIntelligence,2013,35(7):1704–1716.XingJ,AiH,LiuL,etal.MultiplePlayerTrackinginSportsVideo:ADual-ModeTwo-WayBayesianInferenceApproachWithProgressiveObservationModeling[J].IEEETransactionsonImageProcessing,2011,20(6):1652-1667.NilliusP,SullivanJ,CarlssonS.Multi-targettracking-linkingidentitiesusingbayesiannetworkinference[C].2006IEEEComputerSocietyConferenceonComputerVisionandPatternRecognition(CVPR),NewYorkCity,NY,USA,2006,2:2187–2194.LuoW,KimTK,StengerB,etal.Bi-labelPropagationforGenericMultipleObjectTracking[C].2014IEEEConferenceonComputerVisionandPatternRecognition,Columbus,OH,USA,2014:1290–1297.BetkeM,HirshDE,BagchiA,etal.TrackingLargeVariableNumbersofObjectsinClutter[C].2007IEEEConferenceonComputerVisionandPatternRecognition,Minneapolis,MN,USA,20