基于马尔科夫网视频图像目标检测跟踪方法研究Study on application, approach and concept of DMN in segmentation of images
曹建农,李德仁,关泽群
摘要(Abstract):
研究了马尔科夫网的概念、方法,分析它在空间数据挖掘中的作用与意义,并以视频图像为例广泛研究以多种粒度(节点数)建立视频图像间的马尔科夫网,通过网络结构分析检测视频图像中的目标差异。研究表明马尔科夫网可以很好地揭示数据间的抽象近邻关系,并且这种网络自身就具有表达知识的意义。
关键词(KeyWords): 马尔科夫网;目标检测;概率距离;数据挖掘
基金项目(Foundation): 地理信息工程国家测绘局重点实验室基金(1469990324233);; 国家自然科学基金资助项目(60175022);; 国家高科技发展计划(863)项目(2001AA135081)
作者(Author): 曹建农,李德仁,关泽群
参考文献(References):
- [1]NarendraA Mosaicmodelsfortextures[A] In:ImageModeling[C],NewYork:Academic,1980:1 7
- [2]LaveenNKanal Markovmeshmodels[A] In:ImageModeling[C],NewYork:Academic,1980,1981:240 243
- [3]JWModestino,RWFriesandALVickers Stochasticimagemodelsgeneratedrandomtessellationsoftheplane[A]In:ImageModeling[C],NewYork:Academic,1980,1981:302 325
- [4]JohnWoods Two dimensionaldiscreteMarkovfields[J]IEEETransactionsonInformationTheory1972,IT 18(2):232 240
- [5]JAStuller,BKurz Two dimensionalMarkovianrepresentationsofsampledimages[J] IEEETrans Commun 1976,Com 24:1148 1152
- [6]R L Kashyap,R Chellappa Estimationandchoiceofneighborsinspatial interactionmodelsofimages[J] IEEETrans InformationTheory,1983,Vol IT 29,NO 1:6072
- [7]PatrickAKelly,HalukDerin,KeithDHartt Adaptivesegmentationofspeckledimagesusingahierarchicalrandomfieldmodel[J] IEEETransactionsAcoustics,Speech,andSignal,Processing,1988,36(10):1628 1641
- [8]FlorenceTupin,HenriMaitre,Jean FrancoisMangin,JeanMarieNicolas,EugenePechersky DetectionoflinearfeaturesinSARimages:applicationtoroadnetworkextraction[J] IEEETransactionsGeoscienceandRemoteSensing,1998,36(2):434 453
- [9]FlorenceTupin,IsabelleBloch,HenriMaitre AfirststeptowardautomaticinterpretationofSARimagesusingevidentialfusionofseveralstructuredetectors[J] IEEETransactionsonGeoscienceRemoteSensing,1999,37(3):13271343
- [10]FlorenceTupin MarkovianmethodsforSARimageprocessing[J] 0 7803 7031 7/01/$10 00(C)2001IEEE,1164 1166
- [11]SGeman,DGeman StochasticrelaxationGibbsdistribution,andtheBayesianrestorationofimages[J] IEEETrans PatternAnal MachineIntell 1984,PAMI 16:721 741
- [12]YXiang,SKMWong,NCercone Amicroscopic'studyofminimumentropysearchinlearningdecomposableMarkovnetworks[A] In:MachineLearning[C],Copy1997KluwerAcademicPublishers ManufacturedTheNetherlands:2665 2692
- [13]JiaweiHan,MichelineKamber Dataminingconceptsandtechniques[M] Beijing:ChinaMachinePress,2001
- [14]DavidHeckerman Bayesiannetworkfordataminingdataminingandknowledgediscovery[A] In:Copy1997KluwerAcademicPublishers[C],ManufacturedTheNetherlands:79 119
- [15]MeeraBalakrishnan,AndrewReibman CharacterizingalumpingheuristicforaMarkovnetworkreliabilitymodel[J] Copy1993IEEE:0731 3071
- [16]YXiangandJLee Localscorecomputationinlearningbeliefnetworks[J] ScienceofSurveyingandMapping,2004,(2)
- [17]HepingPan LearningBayesiannetworksII Acomputationalgorithm[J] ScienceofSurveyingandMapping,2002,(4)
- [18]HepingPan LearningBayesiannetworksI AtheorybasedonMAP MDLcriteria[J] ISIFCopy2002,IEEE:769776
- [19]MCGolumbic Algorithmicgraphtheoryandperfectgraphs[M] AcademicPress,1980
- [20]JPearlProbabilisticreasoninginintelligentsystems[M\〗NetworksofPlausibleInference MorganKaufmann,1988
- [21]JamesWModestino,JunZhang AMarkovrandomfieldmodel basedapproachtoimageinterpretation[J] IEEETransactiononPatternAnalysisandMachineIntelligent,1992,14(6):606 615
- [22]郑肇保 图像分析的马尔科夫随机场方法[M] 武汉:武汉测绘科技大学出版社 2000
- [23]阿兰图克尔著,申大维译 数学的原理与实践[M]北京:高等教育出版社 1998
- [24]YXiang,JHu,NCercone,HHamilton Learningpseudoindependentmodels:analyticalandexperimentalresults[J] ScienceofSurveyingandMapping,2004,(3)
- [25]RRBouckaert Propertiesofbayesianbeliefnetworklearningalgorithms[A] In:RLopezdeMantarasandDPooleeditors,Proc Of10thConf OnUncertaintyinArtificialIntelligence,Seattle[C],Washington,1994 MorganKaufmann:102 109