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1、北方工業(yè)大學(xué)碩士學(xué)位論文基于序列圖像的運動目標(biāo)檢測和跟蹤算法研究姓名：趙世喆申請學(xué)位級別：碩士專業(yè)：檢測技術(shù)與自動化裝置指導(dǎo)教師：許芬20060605北方工業(yè)大學(xué)碩士學(xué)位論文AbstractDetectionandtrackingofmovmgobjectinimagesequenceisoneimportantareainthedomMnofdigitalimageprocessingandcomputervision．Itsapplicationsincludefieldslikerobotnaviga
2、tion，vision-basedsupervision，securitysurveillance，medicalimageanalysis，industrialautomation，videoprocessing，etc．．Thestudyobjectofthispaperisimagesequence．Eachimageiscomposedofmovingobjectsandbackground．Normallytherearethreecases：thebackgroundisstaticandsim
3、ple，thebackgroulldiscomplex、vimsmallchange，andthebackgroandiscomplexwithvastchange．Mostpublishedresearchesfocusondetectionandtrackingofmovingobjectinthefirstcase．Sofar,thereislimitedresearchdoneonthethirdcase．Thispaperhastriedtoanalyzeboththefirstandthesec
4、ondcases．Intheresearch，adigitalimagecapturingsystemisconstructed．Thehardwareandsoftwarepartofthesystemarechosenaccordingtopracticalneeds．Thepresentlycommonmethodsondetectionandtrackingofmovingobjectsareintroducedfirst．Formovingobjectdetection，threemethods，
5、including‘differentialbetweenadjacentframes’，‘backgroundsubtractction’and‘opticalflow’，arediscussed．Throughcomparisonandanalysis，themerits，weaknessesandapplicationfieldofeachmethodareconcluded．Formovingobjecttracking，therearethreefeaturematchingalgorithms：
6、‘a(chǎn)bsolute—balancesearching’，‘normalizedcross—correlationmatching’，and‘histogrammatching’．Twofastmatchingmethods，‘sequentialsimilaritydetectionalgorithm’and‘pyramidhierarchicalsearchingalgorithm’arealsointroduced．Basedonthestudiesofthesealgorithms，thispaper
7、designsandimplementsapracticalsystemforsequenceimagecapturingandmovingobjectdetectionandtracking，usingVisualc++andOpenCV．ThissystemCandetectandtrackmovingobjectmoreaccuratelyandlesstime—consuming．Inordertoimprovetheaccuracyandenhancethereal—timeabilityoftr
8、acking，around—offmethodisusedtoremovethepotentialerroneouspoints，andafastmatchingprogrambasedonpyramidhierarchicalsearchingalgorithmisincluded．ThealgorithmandmethodsappliedinthisresearchCanbeappliedinfieldssu
