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dc.contributor.authorTöreyin, Behçet Uğuren_US
dc.contributor.authorÇetin, Ahmet Enisen_US
dc.coverage.spatialEskişehir, Turkeyen_US
dc.date.accessioned2016-02-08T11:39:38Zen_US
dc.date.available2016-02-08T11:39:38Zen_US
dc.date.issued2007en_US
dc.identifier.issn2165-0608en_US
dc.identifier.urihttp://hdl.handle.net/11693/26923
dc.descriptionDate of Conference: 11-13 June 2007en_US
dc.descriptionConference Name: 15th Signal Processing and Communications Applications, IEEE 2007en_US
dc.description.abstractA method for detection of dynamic textures in video is proposed. It is observed that the motion vectors of most of the dynamic textures (e.g. sea waves, swaying tree leaves and branches in the wind, etc.) exhibit random motion. On the other hand, regular motion of ordinary video objects has well-defined directions. In this paper, motion vectors of moving objects are estimated and tracked based on a minimum distance based metric. The direction of the motion vectors are then quantized to define two threestate Markov models corresponding to dynamic textures and ordinary moving objects with consistent directions. Hidden Markov Models (HMMs) are used to classify the moving objects in the final step of the algorithm.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of the 15th Signal Processing and Communications Applications, IEEE 2007en_US
dc.relation.isversionofhttps://doi.org/10.1109/SIU.2007.4298714en_US
dc.subjectFilmsen_US
dc.subjectMarkov processesen_US
dc.subjectOffshore oil well productionen_US
dc.subjectSignal processingen_US
dc.subjectTexturesen_US
dc.subjectVectorsen_US
dc.subjectDynamic texturesen_US
dc.subjectMarkov modellingen_US
dc.subjectMinimum distancesen_US
dc.subjectMotion vectorsen_US
dc.subjectMoving objectsen_US
dc.subjectRandom motionsen_US
dc.subjectRegular motionen_US
dc.subjectSea wavesen_US
dc.subjectTexture detectionen_US
dc.subjectTree leavesen_US
dc.subjectVideo objectsen_US
dc.subjectHidden Markov modelsen_US
dc.titleHMM based method for dynamic texture detectionen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.identifier.doi10.1109/SIU.2007.4298714en_US
dc.publisherIEEEen_US


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