基于Adaboost算法的人脸检测研究及实现(3)

发布时间:2021-06-06

基于Adaboost算法的人脸检测研究及实现

Abstract

Title:STUDYANDIMPLEMENTAl-lONOFFACEDETECTl0NBASED

ONADABoOSTALGORITHM

Major:SignalandInformationProcessing

Name:PengLIN

Supervisor:Prof.ErHuZHANGSignature:让s’9舱ture.丝彳

asaAbstractFacedetectioninpattemrecognitionandmachinevisiontechnology

valuelong-termrapidsubjectofconcern,hashi曲academicandcommercialvalue.Withthe

developmentofintelligentcomputingtechnology,newmethodsandnewtechnologieswill

continuetobeused,whichbringmorevitalitytothe

increasinglybetterresearch,anddetectionresultwillbeandfaster.

Theresearchstartedfromtheadaboostalgorithm,whichwasoptimizedfromthetraining

processandthedetectionprocess,andOilthisbasisfacedetectionandtrackingsystemwas

developed.

Firstly,basingontheclassicalprinciplesoftheadaboostalgorithm,thetrainingprocess

andthedetectionprocesswereachieved

arespectivelyandindependently.Secondly,inandtheviewofthetrainingprocessconsumedsuch

trainingprocesswerelongtime,thenumberoffeaturesthattrainingtimewasstepsoftheoptimizedrespectively,soreducedbynearly50%.

Then,fromthepointofspeedrequiredbyreal—timedetectionsystem,afacetracking

algorithmbasedontheadaboostalgorithmwasproposed,andtheaverageprocessingtimeof

singlefianlewasshortenedsharply.Finally,afterrealizingthedetectionandtracking

algorithm,thefacedetectionandtrackingsystemwasdeveloped,includingimage—basedface

detectionsubsystem,video—basedfacedetectionandtrackingsubsystemandvideo

surveillancesubsystem,Inaddition,byembeddedofthecomplexionmoduleandtheprincipal

componentanalysismodule,theperformanceofthesystemwasgreatlyimproved.

andimprovingtheBecauseofrealizingtheadaboostalgorithmindependently,therelevantprocedurescouldbetran印lantedeasily,andagoodfoundationwaslayforf=Ilrtherstudy

application.

KeyWords:Facedetection;Adaboostalgorithm;Facetracking;Systellaoptimization

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