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1、ANovelTechniquetoDynamicallyMeasureVehicleSpeedusingUncalibratedRoadwayCamerasF.W.Cathey,D.J.DaileyDepartmentofElectricalEngineeringUniversityofWashingtonSeattle,Washington,USA.fritz@its.washington.edu,dan@its.washington.eduAbstract—TheWashingtonState
2、DepartmentofTransporta-highwaydirectionsinthevicinityoftheselectedcamera:(1)tion(WSDOT)hasanetworkofseveralhundredCCTVtraffictheviewisunobstructedbyoverpasses,largeoverheadsigns,surveillancecamerasdeployedonthefreewaysandarterialsetc.;(2)undernormalvie
3、wingconditionstherearetwooraroundSeattleforcongestionmonitoring.However,thesecam-morestraighthighwayboundarylinesandoneormorelineserasarenotcalibratedandcanbepanned,tiltedandzoomed.Thispaperpresentsanovelmethodofautomaticallycomputingoflanestripes;and
4、(3)thesceneisuncomplicatedbyramps.enoughcalibrationinformationforthesecamerassothattheyTherearemanyschemesforactualcameraselection.Wecanproducereliablespeedestimates.Themethodpresenteduseasimpleschemeinwhichthecandidatecamerashaveusesastraighteningtec
5、hniquetoremoveperspectiveeffectsandbeenpreviouslyprioritized,andcyclethroughthemuntiloneacorrelationtechniquetoestablishthenecessaryscalefactor.Temporalcorrelationbetweensequentialstraightenedframesofisfoundforwhichthecalibrationprocedureissuccessful.
6、videoisusedtomakerobustspeedestimates.Associatedwitheachcandidatecameraisasmalldatabase.ThedatabaseincludesacquisitionparameterssuchasimageI.INTRODUCTIONsize,colormodel(wecurrentlyusegrayscale),capturerate,TheWashingtonDepartmentofTransportation(WSDOT
7、)brightness,contrast,numberofimagestocapture,anddatahasanetworkofseveralhundredCCTVtrafficsurveillancecompressiontype.ItalsoincludesanimageprocessingregioncamerasdeployedonthefreewaysandarterialsaroundSeattleofinterest(ROI),andanyad-hocprocessingrules.
8、forcongestionmonitoring.NocameraparametersareknownOnceacameraisselectedtheimageserverisinstructedtoaprioriforthesecameras.WSDOToperatorsdynamicallycaptureimagesusingthecameraspecificacquisitionparam-changethefocallength(f),panangle(θ)andtiltang
