外文翻译一个鲁棒的基于机械视觉运动目标检测与跟踪系统Word文件下载.docx
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附录I外文文献翻译@#@
(1)原文:
@#@@#@ARobustVision-basedMovingTargetDetectionandTrackingSystem@#@Abstract@#@Inthispaperwepresentanewalgorithmforreal~timedetectionandtrackingofmovingtargetsinterrestrialscenesusingamobilecamera.Ouralgorithmconsistsoftwomodes:
@#@detectionandtracking.Inthedetectionmode,backgroundmotionisestimatedandcompensatedusinganaffinetransformation.Theresultantmotionrectifiedimageisusedfordetectionofthetargetlocationusingsplitandmergealgorithm.Wealsocheckedotherfeaturesforprecisedetectionofthetargetlocation.Whenthetargetisidentified,algorithmswitchestothetrackingmode.ModifiedMoravecoperatorisappliedtothetargettoidentifyfeaturepoints.Thefeaturepointsarematchedwithpointsintheregionofinterestinthecurrentframe.Thecorrespondingpointsarefurtherrefinedusingdisparityvectors.Thetrackingsystemiscapableoftargetshaperecoveryandthereforeitcansuccessfullytracktargetswithvaryingdistancefromcameraorwhilethecameraiszooming.Localandregionalcomputationshavemadethealgorithmsuitableforreal-timeapplications.Therefinedpointsdefinethenewpositionofthetargetinthecurrentframe.Experimentalresultshave@#@shownthatthealgorithmisreliableandcansuccessfullydetectandtracktargetsinmostcases.@#@Keywords:
@#@realtimemovingtargettrackinganddetection,featurematching,affinetransformation,vehicletracking,mobilecameraimage.@#@1Introduction@#@Visualdetectionandtrackingisoneofthemostchallengingissuesincomputervision.Applicationofthevisualdetectionandtrackingarenumerousandtheyspanawiderangeofapplicationsincludingsurveillancesystem,vehicletrackingandaerospaceapplication,tonameafew.Detectionandtrackingofabstracttargets.vehiclesingeneral)isaverycomplexproblemanddemandssophisticatedsolutionsusingconventionalpatternrecognitionandmotionestimationmethods.Motion-basedsegmentationisoneofthepowerfultoolsfordetectionandtrackingofmovingtargets.Itissimpletodetectmovingobjectsinimagesequencesobtainedbystationarycamera[1],[2],theconventionaldifference-basedmethodsfailtodetectmovingtargetswhenthecameraisalsomoving.Inthecaseofmobilecameraalloftheobjectsintheimagesequencehaveanapparentmotion,whichisrelatedtothecameramotion.Anumberofmethodshavebeenproposedfordetectionofthemovingtargetsinmobilecameraincludingdirectcameramotionparametersestimation[3],opticalflow[4],[5],andgeometrictransformation[6],[7].Directmeasurementofcameramotionparametersisthebestmethodforcancellationoftheapparentbackgroundmotionbutinsomeapplicationitisnotpossibletomeasuretheseparametersdirectly.Geometrictransformationmethodshavelowcomputationcostandaresuitableforrealtimepurpose.Inthesemethods,auniformbackgroundmotionisassumed.Anaffinemotionmodelcouldbeusedtomodelthismotion.Whentheapparentmotionofthebackgroundisestimated,itcanbeexploitedtolocatemovingobjects.Inthispaperweproposeanewmethodfordetectionandtrackingofmovingtargetsusingamobilemonocularcamera.Ouralgorithmhastwomodes:
@#@detectionandtracking.Thispaperisorganizedasfollows.InSection2,thedetectionprocedureisdiscussed.Section3describesthetrackingmethod.ExperimentalresultsareshowninSection4andconclusionappearsinSection5.@#@2Targetdetection@#@InthedetectionmodeweusedaffinetransformationandLMedS(Leastmediansquared)methodforrobustestimationoftheapparentbackgroundmotion.Afterthecompensationofthebackgroundmotion,weapplysplitandmergealgorithmtothedifferenceofcurrentframeandthetransformedpreviousframetoobtainanestimationofthetargetpositions.Ifnotargetisfound,thenitmeanseitherthereisnomovingtargetinthesceneor,therelativemotionofthetargetistoosmalltobedetected.Inthelattercase,itispossibletodetectthetargetbyadjustingtheframerateofthecamera.Thealgorithmaccomplishesthisautomaticallybyanalyzingtheproceedingframesuntilamajordifferenceisdetected.Wedesignedavotingmethodtoverifythetargetsbasedonaprioriknowledgeofthetargets.Forthecaseofvehicledetectionweusedverticalandhorizontalgradientstolocateinterestingfeaturesaswellasconstraintonareaofthetargetasdiscussedinthissection.@#@Backgroundmotionestimation@#@Affinetransformation[8]hasbeenusedtomodelmotionofthecamera.Thismodelincludesrotation,scalingandtranslation.2~Daffinetransformationisdescribedasfollow:
@#@@#@
(1)@#@where(xi,yi)arelocationsofpointsinthepreviousframeand(Xi,Yi)arelocationsofpointsinthecurrentframeanda1~a6aremotionparameters.Thistransformation