2D amplitude-modulation frequency-modulation - based method for motion estimation

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We 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 syn...

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Detalles Bibliográficos
Autores: Murray, Victor, Rodriguez, Paul, Noriega, Maria
Formato: artículo
Fecha de Publicación:2015
Institución:Universidad de Ingeniería y tecnología
Repositorio:UTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utec.edu.pe:20.500.12815/34
Enlace del recurso:https://hdl.handle.net/20.500.12815/34
https://doi.org/10.1109/LASCAS.2015.7250484
Nivel de acceso:acceso abierto
Materia:Motion estimation
Videos
Optical imaging
Biomedical optical imaging
Mathematical model
Adaptive optics
Estimation
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dc.title.es_PE.fl_str_mv 2D amplitude-modulation frequency-modulation - based method for motion estimation
title 2D amplitude-modulation frequency-modulation - based method for motion estimation
spellingShingle 2D amplitude-modulation frequency-modulation - based method for motion estimation
Murray, Victor
Motion estimation
Videos
Optical imaging
Biomedical optical imaging
Mathematical model
Adaptive optics
Estimation
title_short 2D amplitude-modulation frequency-modulation - based method for motion estimation
title_full 2D amplitude-modulation frequency-modulation - based method for motion estimation
title_fullStr 2D amplitude-modulation frequency-modulation - based method for motion estimation
title_full_unstemmed 2D amplitude-modulation frequency-modulation - based method for motion estimation
title_sort 2D amplitude-modulation frequency-modulation - based method for motion estimation
author Murray, Victor
author_facet Murray, Victor
Rodriguez, Paul
Noriega, Maria
author_role author
author2 Rodriguez, Paul
Noriega, Maria
author2_role author
author
dc.contributor.author.fl_str_mv Murray, Victor
Rodriguez, Paul
Noriega, Maria
dc.subject.es_PE.fl_str_mv Motion estimation
Videos
Optical imaging
Biomedical optical imaging
Mathematical model
Adaptive optics
Estimation
topic Motion estimation
Videos
Optical imaging
Biomedical optical imaging
Mathematical model
Adaptive optics
Estimation
description We 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.
publishDate 2015
dc.date.accessioned.none.fl_str_mv 2017-11-07T04:35:39Z
dc.date.available.none.fl_str_mv 2017-11-07T04:35:39Z
dc.date.issued.fl_str_mv 2015-02
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dc.identifier.doi.es_PE.fl_str_mv https://doi.org/10.1109/LASCAS.2015.7250484
dc.identifier.journal.es_PE.fl_str_mv 2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS)
url https://hdl.handle.net/20.500.12815/34
https://doi.org/10.1109/LASCAS.2015.7250484
identifier_str_mv 2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS)
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.es_PE.fl_str_mv Repositorio Institucional UTEC
Universidad de Ingeniería y Tecnología - UTEC
dc.source.none.fl_str_mv reponame:UTEC-Institucional
instname:Universidad de Ingeniería y tecnología
instacron:UTEC
instname_str Universidad de Ingeniería y tecnología
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institution UTEC
reponame_str UTEC-Institucional
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2D amplitude-modulation frequency-modulation - based method for motion estimation
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