基于FPGA的視頻序列人臉目標(biāo)跟蹤技術(shù)研究.pdf

1、聲明本學(xué)位論文是我在導(dǎo)師的指導(dǎo)下取得的研究成果，盡我所知，在本學(xué)位論文中，除了加以標(biāo)注和致謝的部分外，不包含其他人已經(jīng)發(fā)表或公布過的研究成果，也不包含我為獲得任何教育機(jī)構(gòu)的學(xué)位或?qū)W歷而使用過的材料。與我一同工作的同事對本學(xué)位論文做出的貢獻(xiàn)均已在論文中作了明確的說明。研究生簽名：丑叢土一知侈年多月，婦學(xué)位論文使用授權(quán)聲明南京理工大學(xué)有權(quán)保存本學(xué)位論文的電子和紙質(zhì)文檔，可以借閱或上網(wǎng)公布本學(xué)位論文的部分或全部內(nèi)容，可以向有關(guān)部門或機(jī)構(gòu)送交并

2、授權(quán)其保存、借閱或上網(wǎng)公布本學(xué)位論文的部分或全部內(nèi)容。對于保密論文，按保密的有關(guān)規(guī)定和程序處理。研究生簽名：垂I蟲加乃年弓月侈日Abstract碩士論文AbstractWiththeconstantdevelopmentofFPGA，itsparallelism，hi【ghspeedandreusabilityhavereflecteditsadvantageofflexibleapplicationincontroldomainUsi

3、ngtheIPcorehasgreatlyshortenedthedevelopmentcycleoftheresearchers，ensuringthestabilityeasymaintenanceandportabilityofthemoduleInthemeanwhile，facetracking，asallimportantbranchofvideotargettracking，hasgainedmoreandmoreatte

4、ntionIthasbeenwidelyappliedinsecuritymonitoringandintelligenthumancomputerinteraction，瀝tllthetrendofrapiddevelopmentThesubjectofthispaperisastudyonthetechniqueoffacetrackingonthebasisofFPGAInthispaperthedesignedsystem，ba

5、sedonFPGAhardwareplatform，hasthepropertyofcompletingthefinaltrackingtaskbyconstructingparticlefilter、析tlltheeigenvectoroffacecolorinformationThispaperfirstlystatesthesubjectmeaning，facedetectionandtrackingtechniquebriefl

6、yThenitpresentscolorsystem，F(xiàn)PGAdevelopmentprocessandconventionaltargetmethodAtlast，itintroducestheconceptofparticlefilterThispaperresearchedonfacetrackingbyparticlefilterbasedontheFPGAThispaperconsiStsoftwoparts：hardware

7、circuitandalgorithmdesignHardwarecircuitincludesSAA7113Hdecodingchip，SAA7121codingchip，XilinxSpartan3EmaincontrolchipandoffchipmemoryAndschematicdiagramdesign，debug，placementandroutingarecompletedbydesigningPCBcircuitwit

8、hAltiumDesignerInthepartofalgorithmdesign，facedetectionandtrackingisbasedonFPGAAndparticlefilteralgorithm，basedonfacecolorcharacteristics，isconstructed謝tllskincolordifferencesignalasthefeatureThecalculationofasetofweight

9、edsamplingparticlescallrepresenttheposteriorprobabilitydensityITU656videoformatandYCbCr4：2：2samplingformatareanalyzedDetectingthecolordifferencesignalandcalculatingtheweightsFinallyparticlestatereflectedbythebiggestweigh

10、tsgetstheresultofdetectionThesystemiswrittenbyVerilogHDLanddevelopedonXilinxISEplatformwiththecallofrelatedIPcoreresourcesandthedebuggingbysimulatingtoolsandoscilloscopeThefinalsystemrealizesfacetracking，achievingtheexpe