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1、WorldAcademyofScience,EngineeringandTechnology602009Video-basedFaceRecognition:ASurveyHuafengWang,YunhongWang,AndYuanCaorecognitionisperformed,sometimes,byusingstill-to-stillAbstract—Duringthepastseveralyears,facerecognitioninvideorecognitiontechnique.Figure1showsthewholeprocess
2、.Inhasreceivedsignificantattention.Notonlythewiderangeofaddition,somemethodsalsoutilizecombinationcues,suchascommercialandlawenforcementapplications,butalsotheavailabilityaudio,gaitandsoon,tomakeacomprehensiveanalysisandoffeasibletechnologiesafterseveraldecadesofresearchcontribu
3、testakedecision.tothetrend.AlthoughcurrentfacerecognitionsystemshavereachedaInthispaper,wereviewthecurrentdevelopmentofcertainlevelofmaturity,theirdevelopmentisstilllimitedbytheconditionsbroughtaboutbymanyrealapplications.Forexample,video-basedfacerecognition.Itisorganizedasfoll
4、ows:recognitionimagesofvideosequenceacquiredinanopenSection2introducesthetypicaltechniquesoffacedetectioninenvironmentwithchangesinilluminationand/orposeand/orfacialvideo,real-time&multi-viewmethods.Insection3thetypicalocclusionand/orlowresolutionofacquiredimageremainsalargelyfa
5、cetrackingmethodsarediscussed.Section4compareswithunsolvedproblem.Inotherwords,currentalgorithmsareyettobestillimages,andliststheadvantagesanddisadvantagesoffacedeveloped.Thispaperprovidesanup-to-datesurveyofvideo-basedrecognitioninvideo.Thewaysespeciallyforsolvingthefacerecogni
6、tionresearch.Topresentacomprehensivesurvey,wecategorizeexistingvideobasedrecognitionapproachesandpresentproblemssuchasillumination,poseandlowresolutionand3Ddetaileddescriptionsofrepresentativemethodswithineachcategory.areintroduced.Section5presentsseveralwell-knownInaddition,rel
7、evanttopicssuchasrealtimedetection,realtimevideo-baseddatabases.Asummaryanddiscussionaretrackingforvideo,issuessuchasillumination,pose,3Dandlowpresentedinsection6.resolutionarecovered.II.FACEDETECTIONKeywords—Facerecognition,video-based,surveyFacedetectionisthefirststageofafacer
8、ecognitionsystem.I.INTRODUCTIONAlotofresearchha
