智能视频监控中的几个关键问题

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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目录第一章绪论...............................