视频配准技术的研究

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1、上海交通大学硕士学位论文视频配准技术的研究姓名：王力申请学位级别：硕士专业：模式识别与智能系统指导教师：周越20081201上海交通大学硕士学位论文AbstractThispaperstudiestheproblemofmatchingtwounsynchronizedvideosequencesofthesamedynamicscene,recordedbydifferentstationaryuncalibratedvideocameras.Thematchingisdonebothintimeandinspace,wherethespatialmatchingcanbemodel

2、edbyafundamentalmatrix.Ourapproachisbasedonmatchingspace-timetrajectoriesofmovingobjects,incontrasttomatchinginterestpoints,asdoneintraditionalfeature-basedstaticimagematchingtechniques.Thesequencesarematchedinspaceandtimebymatchingallpointsalongcorrespondingspace-timetrajectories.Byexploitingth

3、edynamicpropertiesofthesespace-timetrajectories,weobtaintemporalcorrespondencebetweenthetwovideosequences.Furthermore,usingtrajectoriesratherfeature-pointssignificantlyreducesthecomplexityofthespatialpoint-matchingproblemwhenthesearchspaceislarge.Thisbenefitisusedforverywidebase-linematchingwhic

4、hisextremelydifficultwhenonlytraditionalstaticimagematchingisused.Inthispaper,thevideoalignmenttechniqueisinvestigateddeeplyonthebaseofthesummaryofpreviousresearchworksinthisarea.Proposedframeworkinthevideoalignmentincludesfeature-pointsextraction,trackingfeature-points,epipolargeometry,temporal

5、-spatialalignmentbetweentwovideosequences.Meanwhile,weproposeanavailablemethodtoissuetheproblemofverywidebase-linematching.Intheexperiment,themethodproposedinthispaperperformswellincontrasttotheSIFTalgorithm.Thispapersetsthevideoalignmenttechniqueasthemainresearch.Ourworkmainlyincludes:1.Thispap

6、erusesmean-shiftalgorithmtotrackfeature-points.Asaresult,weobtaintrajectoriesoffeature-points.Weusethedynamicinformationintrajectoriestomatchtwounsynchronizedvideosequences.2.Thispaperutilizesepipolargeometrytosolvetheproblemofwidebase-linematchingbetweentwovideosequences.IV上海交通大学硕士学位论文3.Thispap

7、ercombinesthedynamictimewarpingalgorithmandthefundamentalmatrixtoexploretemporalinformationinvideosequences.4.Giventhetemporalcorrespondencebetweentwovideosequences,thispaperfindthespatialcorrespondencebypointsmatchinginallt