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...
              
            
    
                        | Autores: | , , | 
|---|---|
| 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 | 
    
| dc.type.es_PE.fl_str_mv | 
                  info:eu-repo/semantics/article | 
    
| format | 
                  article | 
    
| dc.identifier.uri.none.fl_str_mv | 
                  https://hdl.handle.net/20.500.12815/36 | 
    
| 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 | 
    
| dc.rights.es_PE.fl_str_mv | 
                  info:eu-repo/semantics/openAccess | 
    
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                  http://creativecommons.org/licenses/by-nc-nd/4.0/ | 
    
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                  openAccess | 
    
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                  http://creativecommons.org/licenses/by-nc-nd/4.0/ | 
    
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                  application/pdf | 
    
| dc.publisher.es_PE.fl_str_mv | 
                  Institute of Electrical and Electronics Engineers | 
    
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                  Repositorio Institucional UTEC Universidad de Ingeniería y Tecnología - UTEC  | 
    
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                  Murray, VictorRodriguez, PaulPattichis, Marios2017-11-07T05:09:41Z2017-11-07T05:09:41Z2014-12https://hdl.handle.net/20.500.12815/36https://doi.org/10.1109/GlobalSIP.2014.70322732014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)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. 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    La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).