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1、AbstractInrecentyears,theintelligentvideosurveillancehasbeenahotspotofcomputervisionresearch.Theintelligentvideosurveillancetechnologyhasbeenwidelyappliedtohandlevariousspecificproblems.Thispaperfocusesonseveralkeyissuessuchastrip-linedetection,abandoneddetectio
2、nandpicturerectificationforclassroomvideosurveillance.Relevanttheoriesandalgorithmstosolvetheproblemsintheseissuesarepresentedinthispaperindetailsandtheintroductionofourtrip-linedetectionsystemisalsogiven.Thetrip-linedetectiontechniquediscussedinthispapercanbeap
3、pliedforthesecurityprecautionsofcommunitiesorschools.Onthisissue,manymovingobjectdetectionalgorithmsarestudied,includingGaussianmixturemodeling,BayesianmodelingandViBemodeling.Theremoveofshadowbasedoncolorinformationandeliminationofthefalsedetectioncausedbysudde
4、n-lightchangesareinvestigatedinthispaper.Furthermore,thebasictheoryofKalmanfilterandCamShiftforobjectstrackingisstatedinthispaper,andthenboththesetwomethodsarecombinedtosolvemulti-objectproblem.Finally,amethodfordeterminingthetrip-lineanditsdirectionisgiveninthi
5、spaper.Whilethekeypointforabandonedobjectdetectionliesindistinguishingthemovingforegroundfromthestaticforeground,multi-levelforegroundsegmentationisusedtosolveitinthispaper.Ontheotherhanditiscriticaltodifferentiatetheabandonedobjectsfromthestaticforegroundwithou
6、tthebackgroundremovedones.Thecontoursimilaritycombinedwiththecolorhistogramsimilarityisadoptedinthispaper.Thenstatichumanbodiesfromthestaticobjectshavetobeexcluded,andSVM+HOGmethodisadoptedtodealwithit.Therectificationofthedistortedclassroomroommonitorimagecanbe
7、appliedforexaminationsupervision,andthegoalofthisrectificationistoremovethelensdistortionandperspectivedistortioncausedbythepositionofseats.Thisthesisdescribesarectificationmethodforcameracalibrationandalsodescribesacretinmeanstorectifyperspectivedistortionofthe
8、picturesinthisapplication.Keywords:IntelligentVideoSurveillanceTrip-lineDetectionAbandonedDetectionDistortedPictureRectification目錄第一章緒論...............................
