Classifier for naked people detection in images
Images constitute an essential component within the digital contents generated and interchanged through telecommunications networks. Since some years ago, the international community has been working in various filtering and contents classification systems. Within these systems, the evaluation of th...
- Autores:
-
Siovel Rodríguez Morales; Universidad de Ciencias Informáticas –UCI
Walter Baluja García; Instituto Superior Politécnico José Antonio Echeverría –ISPJAE
- Tipo de recurso:
- Fecha de publicación:
- 2012
- Institución:
- Universidad del Norte
- Repositorio:
- Repositorio Uninorte
- Idioma:
- spa
- OAI Identifier:
- oai:manglar.uninorte.edu.co:10584/4188
- Acceso en línea:
- http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/3987
http://hdl.handle.net/10584/4188
- Palabra clave:
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
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Siovel Rodríguez Morales; Universidad de Ciencias Informáticas –UCIWalter Baluja García; Instituto Superior Politécnico José Antonio Echeverría –ISPJAEColombia2013-08-31T23:11:11Z2013-08-31T23:11:11Z2012-12-18http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/3987http://hdl.handle.net/10584/4188Images constitute an essential component within the digital contents generated and interchanged through telecommunications networks. Since some years ago, the international community has been working in various filtering and contents classification systems. Within these systems, the evaluation of the images plays a crucial role. At this work, the main results are presented in relation to the design, the implementation and testing of an image classification module, whose first task is to detect naked people. This module, MLP (MultiLayer Perceptron) neural networks based, achieves elevated detection levels, which joined to its velocity and easy development, turns it into a serious alternative for its inclusion in content filtering software.Las imágenes constituyen un componente esencial de los contenidos digitales que se generan e intercambian a través de las redes de telecomunicaciones. Desde hace años la comunidad internacional ha trabajado en diversos sistemas de clasificación y filtrado de estos contenidos, dentro de los cuales la evaluación de las imágenes tiene un papel fundamental.En el presente trabajo se exponen los principales resultados del diseño, la implementación y prueba de un módulo clasificador de imágenes, cuya tarea fundamental consiste en la detección de personas desnudas.Este módulo, basado en el empleo de redes neuronales del tipo MLP (MultiLayer Perceptron), logra elevados índices de detección lo cual, unido a su velocidad y fácil desarrollo, lo convierte en una seria alternativa para su inclusión en software destinado al filtrado de contenidos. application/pdfspaUniversidad del Nortehttp://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/13768http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/13769http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/13770http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/16345http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/16368Revista Científica Ingeniería y Desarrollo; Vol 30, No 2 (2012): Julio - Diciembre; 223-245instname:Universidad del Nortereponame:Repositorio Digital de la Universidad del NorteClassifier for naked people detection in imagesClasificador para la detección de personas desnudas en imágenesarticlepublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/access_right/c_abf210584/4188oai:172.16.14.36:10584/41882015-10-07 01:47:20.181Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.co |
dc.title.none.fl_str_mv |
Classifier for naked people detection in images Clasificador para la detección de personas desnudas en imágenes |
title |
Classifier for naked people detection in images |
spellingShingle |
Classifier for naked people detection in images |
title_short |
Classifier for naked people detection in images |
title_full |
Classifier for naked people detection in images |
title_fullStr |
Classifier for naked people detection in images |
title_full_unstemmed |
Classifier for naked people detection in images |
title_sort |
Classifier for naked people detection in images |
dc.creator.fl_str_mv |
Siovel Rodríguez Morales; Universidad de Ciencias Informáticas –UCI Walter Baluja García; Instituto Superior Politécnico José Antonio Echeverría –ISPJAE |
dc.contributor.author.none.fl_str_mv |
Siovel Rodríguez Morales; Universidad de Ciencias Informáticas –UCI Walter Baluja García; Instituto Superior Politécnico José Antonio Echeverría –ISPJAE |
description |
Images constitute an essential component within the digital contents generated and interchanged through telecommunications networks. Since some years ago, the international community has been working in various filtering and contents classification systems. Within these systems, the evaluation of the images plays a crucial role. At this work, the main results are presented in relation to the design, the implementation and testing of an image classification module, whose first task is to detect naked people. This module, MLP (MultiLayer Perceptron) neural networks based, achieves elevated detection levels, which joined to its velocity and easy development, turns it into a serious alternative for its inclusion in content filtering software. |
publishDate |
2012 |
dc.date.issued.none.fl_str_mv |
2012-12-18 |
dc.date.accessioned.none.fl_str_mv |
2013-08-31T23:11:11Z |
dc.date.available.none.fl_str_mv |
2013-08-31T23:11:11Z |
dc.type.none.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.hasVersion.none.fl_str_mv |
publishedVersion |
dc.identifier.other.none.fl_str_mv |
http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/3987 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10584/4188 |
url |
http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/3987 http://hdl.handle.net/10584/4188 |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/13768 http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/13769 http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/13770 http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/16345 http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/download/3987/16368 |
dc.relation.ispartof.none.fl_str_mv |
Revista Científica Ingeniería y Desarrollo; Vol 30, No 2 (2012): Julio - Diciembre; 223-245 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.spatial.none.fl_str_mv |
Colombia |
dc.publisher.none.fl_str_mv |
Universidad del Norte |
publisher.none.fl_str_mv |
Universidad del Norte |
dc.source.none.fl_str_mv |
instname:Universidad del Norte reponame:Repositorio Digital de la Universidad del Norte |
instname_str |
Universidad del Norte |
institution |
Universidad del Norte |
reponame_str |
Repositorio Digital de la Universidad del Norte |
collection |
Repositorio Digital de la Universidad del Norte |
repository.name.fl_str_mv |
Repositorio Digital de la Universidad del Norte |
repository.mail.fl_str_mv |
mauribe@uninorte.edu.co |
_version_ |
1818112383900450816 |