Robust description and recognition of various viewpoint dynamic textures-中国期刊网

摘要 Theproblemofrecognizingnaturalscenes,suchaswater,smoke,fire,wind-blownvegetationandaflockofflyingbirds,isconsidered.Thesescenesexhibitthecharacteristicdynamicpattern,buthavestochasticextent.Theyarereferredtoasdynamictexture(DT).Inreality,thediversityofDTsondifferentviewpointsandscalesareverycommon,whichalsobringgreatdifficultytorecognizeDTs.Inthepreviousstudies,duetonoconsideringofthedeformableandtransientnatureofelementsinDT,themotionestimationmethodisbasedonbrightnessconstancyassumption,whichseeminappropriateforaggregateandcomplexmotions.Anovelmotionmodelbasedonrelativemotionintheneighborhoodoftwo-dimensionalmotionfieldsisproposed.Theestimationofnon-rigidmotionofDTsisbasedonthecontinuityequation,andthenthelocalvectordifference(LVD)isproposedtocharacterizeDTlocalrelativemotion.SpatiotemporalstatisticsoftheLVDsisusedastherepresentationofDTsequences.ExcellentperformancesofclassifyingallDTsinUCLAdatabasedemonstratethecapabilityoftheproposedmethodindescribingDT.

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Robust description and recognition of various viewpoint dynamic textures

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Robust description and recognition of various viewpoint dynamic textures

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