結合顏色、紋理和先驗形狀的車輛檢測技術的研究.pdf

1、浙江大學信息科學與工程學院碩士學位論文結合顏色、紋理和先驗形狀的車輛檢測技術的研究姓名：趙璐申請學位級別：碩士專業(yè)：信息與通信工程指導教師：于慧敏20080501浙江大學碩士學位論文AbstractWiththedevelopmentofcityandeconomyandtheimprovementofthepeople’Slivingstandard，thenumberofvehiclesontheroadincreasedquick

2、lyandtheburdenoftheroadtransportationsystembecomeshigherandhigherTherefore，moreattentionhasbeenpaidtothevision—basedintelligenttransportationsystemInthispaper，wedosomeresearchesonvehicledetectionwhichisthekeytechnologyof

3、theintelligenttransportationsystem，andproposealgorithmsonbackgroundextractionandupdate，andshadowsuppressionResearchworksinthispaperaresummarizedasfollows：Firstlyweproposeabackgroundextractionandupdatemethodbasedonblockfe

4、aturesbyimprovinganexistingalgorithmThemethoddividesimagesintoblocks，andcomputesstatisticallikelihoodforeachblockinthetimedomainBlockswitllslightchangeareclassifiedasthestaticblocksandputintoabufferTheseblocksareusedtoex

5、tractandupdatethebackgroundimageComparedwiththebackgroundmodelbasedonpixel，thismethodCanreducethecomputingcomplexsignificantlyandCanalsogetgoodresultSecondlywepresentanalgorithmtodovehiclesegmentationandcastshadowremoval

6、usingthecolorandtextureinformationInthefirststep，themethodusescolorinformationtodetectshadowsinobjectsInthesecondstep，texturefeaturesareusedtofindedgesofvehiclesandshadowsThenwecombinecharactersoftheshadowedgesandtheresu

7、ltinthefirststagetemovetheshadowedgesExperimentalresultsshowthatthemethodCancopewithshadowsinanydirectionsButforafewofvehicles，thismethodstillCan’tobtainthewholecontourFinallyavehicledetectionmethodbasedonthepriorshapekn

8、owledgeisproposedThismethodusestheresultoftheshadowremovalalgorithmastheinitialcontourandrestoresthevehiclecontour、析tllpriorshapeknowledgeAnimplicitshapemodelisbuiltandanactivecontourenergyfunction、析t11therestrictionofth

9、eexistingshapepriorsisconstructedThenweapplytheshapealignmentandlevelsetmethodtoevolvingtheinitialcontouruntilconvergenceResultsintheexperimentsshowthatwecanovercomethedefectoftheshadowremovalalgorithmusingthismethodandg