dc.creatorMurray, Victor
dc.creatorRodriguez, Paul
dc.creatorNoriega, Maria
dc.date.accessioned2017-11-07T04:35:39Z
dc.date.available2017-11-07T04:35:39Z
dc.date.created2017-11-07T04:35:39Z
dc.date.issued2015-02
dc.identifierhttps://hdl.handle.net/20.500.12815/34
dc.identifierhttps://doi.org/10.1109/LASCAS.2015.7250484
dc.identifier2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS)
dc.description.abstractWe present a new approach to compute the motion estimation in digital videos using 2D amplitude-modulation frequency-modulation (AM-FM) methods. The optical flow vectors are computed using an iteratively reweighted norm for total variation (IRN-TV) algorithm. We compare the proposed method using synthetic videos versus a previous three-dimensional AM-FM based method and available motion estimation methods available in free and commercial software. The proposed approach produces dense estimates that are more accurate than competitive methods.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceRepositorio Institucional UTEC
dc.sourceUniversidad de Ingeniería y Tecnología - UTEC
dc.subjectMotion estimation
dc.subjectVideos
dc.subjectOptical imaging
dc.subjectBiomedical optical imaging
dc.subjectMathematical model
dc.subjectAdaptive optics
dc.subjectEstimation
dc.title2D amplitude-modulation frequency-modulation - based method for motion estimation
dc.typeinfo:eu-repo/semantics/article


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