2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation

Descripción del Articulo

We present a first approach to a new method to compute the motion estimation in digital videos using the two-dimensional instantaneous frequency information computed using amplitude-modulation frequency-modulation (AM-FM) methods. The optical flow vectors are computed using an iteratively reweighted...

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Detalles Bibliográficos
Autores: Murray, Victor, Rodriguez, Paul, Pattichis, Marios
Formato: artículo
Fecha de Publicación:2014
Institución:Universidad de Ingeniería y tecnología
Repositorio:UTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utec.edu.pe:20.500.12815/36
Enlace del recurso:https://hdl.handle.net/20.500.12815/36
https://doi.org/10.1109/GlobalSIP.2014.7032273
Nivel de acceso:acceso abierto
Materia:Videos,
Motion estimation
Optical imaging
Optical signal processing
Biomedical optical imaging
Adaptive optics
Estimation
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dc.title.es_PE.fl_str_mv 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
title 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
spellingShingle 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
Murray, Victor
Videos,
Motion estimation
Optical imaging
Optical signal processing
Biomedical optical imaging
Adaptive optics
Estimation
title_short 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
title_full 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
title_fullStr 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
title_full_unstemmed 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
title_sort 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
author Murray, Victor
author_facet Murray, Victor
Rodriguez, Paul
Pattichis, Marios
author_role author
author2 Rodriguez, Paul
Pattichis, Marios
author2_role author
author
dc.contributor.author.fl_str_mv Murray, Victor
Rodriguez, Paul
Pattichis, Marios
dc.subject.es_PE.fl_str_mv Videos,
Motion estimation
Optical imaging
Optical signal processing
Biomedical optical imaging
Adaptive optics
Estimation
topic Videos,
Motion estimation
Optical imaging
Optical signal processing
Biomedical optical imaging
Adaptive optics
Estimation
description We present a first approach to a new method to compute the motion estimation in digital videos using the two-dimensional instantaneous frequency information computed using 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 such as a phase-based, Horn-Schunck and the Lucas-Kanade methods. The results are promising producing a full density estimation with more accurate results than the other methods.
publishDate 2014
dc.date.accessioned.none.fl_str_mv 2017-11-07T05:09:41Z
dc.date.available.none.fl_str_mv 2017-11-07T05:09:41Z
dc.date.issued.fl_str_mv 2014-12
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dc.identifier.doi.es_PE.fl_str_mv https://doi.org/10.1109/GlobalSIP.2014.7032273
dc.identifier.journal.es_PE.fl_str_mv 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
url https://hdl.handle.net/20.500.12815/36
https://doi.org/10.1109/GlobalSIP.2014.7032273
identifier_str_mv 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
dc.language.iso.es_PE.fl_str_mv eng
language eng
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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
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