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1、俗萄电占料技女管硕士学位论文MASTERDISSERTATION论文题
2、__l堡垫!堑望堡坚堕蒌竺望查!!!堕学利专业指导教师作者姓名班学号计算机软件与理论顾小丰高工坐竖一———三螋墼竖!!!蛩ABSTRACTVideotrackingofmovingobjectisahotandlatestdirectionintoday’sinformationtechnologyfield．Itreferstolotsofsubjects，includingcomputerscience,automationcontrol，computervision,
3、imageprocessing,patternrecognitionandmath．nethesisputtheintelligentsurveillancesyStemasthethread，focusedonmovingobjectdetectionandmovingobjecttrackinginstablebackground．1heintelligentsurveillancesystemcanautomaticallyanalyzethesequenceofimagesbythemethodsofcomputervisionandv
4、ideoanalysis．Thesystemcanposition,recognizeandtrackobjectsinamovingenvironment．Furthermore,itcanalsoanalyzeandjudgethemovementofobjects．Theaimsofthissystemarctounderstandthemeaningsofvideostreamandtoexplainthescenescomprehensibly,hencetoguideactionsandmakedecisions．Someofthe
5、intelligentsurveillancesystemshavesuccessfullybeenappliedtoarmyandindustry,buttheprojectstillfaceslotsofchallenges．Alargenumberofresearchershavebeenstudyingthesubjectandachievedmanyprogresses．TIlispaperwasbasedontheseachievements．Firstly,thedifferentkindsofdetectionmethodswi
6、ththeiradvantagesanddisadvantageswereconcluded．WemainlyresearchedtheGaussMixtureModel，andthenputthemaximizinglikelihoodideaintotheGaussMixtureModel．ThenewmethodWasmorerigorous，andthedetectionresultscanmeettherequirements．Secondly,themethodsaboutimageenhancement,imagefilteran
7、dimagesegmentationwereconcluded,andthensomeexperimentresultsweregiven．Weextendedtheimageenhancementmethod，whichCanusedtoenhancesomedotsandthreads．Finally,weusedtheKalmanfiltertoforecastthepositionofthemovingobjectinthenextflallle．Themethodcanreducethesearchspaceinordertoimpr
8、ovetheefficiency．Keywords：movingobjectdetectioll'movingobjecttracking,GaussMixtureModel，KalmanfilterⅡ独创性声明本人声明所呈交的学位论文是本人在导师指导下进行的研究工作及取得的研究成果。据我所知，除了文中特别加以标注和致谢的地方外，论文中不包含其他人已经发表或撰写过的研究成果，也不包含为获得电子科技大学或其它教育机构的学位或证书而使用过的材料。与我一同工作的同志对本研究所做的任何贡献均已在论文中作了明确的说明并表示谢意。签名：一生匿氅日期：2口明
9、年f,qzbH关于论文使用授权的说明本学位论文作者完全了解电子科技大学有关保留、使用学位论文的规定，有权保留并向国家有关部门或机构送交论文的复印件和磁
