1、青島大學(xué)碩士學(xué)位論文基于Haarlike特征的實(shí)時(shí)道路車輛識(shí)別方法研究姓名：張亮修申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：車輛工程指導(dǎo)教師：王玉林20090609AbstractRealtimeonroadvehicledetectionisakeytechnologyinmanytransportationapplications，suchasdriverassistance，autonomousdrivingandactivesafetyDueto

2、varietiesinvehicleappearanceandcomplexitiesofoutdoorenvironment，itisimportanttodistinguishvehiclesfromotherobjectsasrobustandreliable嬲possiblenesupervisingapproachofstatisticalpatternrecognitionisutilizedinthisthesistotr

3、ainaclassifierbasedonHaarlikefeaturewhichimplementsrealtimeonroadvehicledetectionBasedonpreviousresearch，thestructuresofHaarlikerectangularfeaturesandintegralimagethatcanbeusedtocomputethevalueoffeaturesrapidlyareanalyze

4、dElevensortsofexpandedrectangularfeaturesthatLienhartRputforwardareadoptedtepresentvehiclesInaddition，thispaperdevelopasinglefeaturetepresenttheshadowatthebottomofvehicles，andconstructUtypefeatureusingtwoverticaledgesand

5、shadowofvehicleHaarlikefeaturesareusedtoconstructweakclassifiers，andGentleAdaBoostalgorithmischosentotrainthestrongclassifiersThen，thereal—timeon—roadvehicleclassifierbasedontreestructureisconstructedbycombiningthestrong

6、classifiers，whichalsoUSeSclusteringand—splittingsteprecursivelyandtherootnodeoftreeclassifierisastrongclassifierthatemploysUtypefeatureMultipledetectionwindowapproachisintroducedtodetectvehiclesinimages，avoidingscalingim

7、agedirectlyintraditionalwayTreeclassifierrapidlyrejectsasmanynegativesaspossibleattheearliestlayers，onlytruepositiveareasreachtheleavesterminalstrongclassifiersThedatasetswhichconsistoftrainingimagesandtestingimagesareco

8、llected，andvideodatasetiScollectedforrealtimevehicledetectionTherealtimeonroadvehicleclassifierbasedontreestructureistrainedusingtrainingdatasetandevaluatedintestingdatasetandvideodatasetExperimentalresultsshowthatthetre