Parametric improvement of lateral interaction in accumulative computation in motion-based segmentation

Martínez Campos, Javier, Carmona, Enrique J., Fernández Caballero, Antonio y López, María T: . (2009) Parametric improvement of lateral interaction in accumulative computation in motion-based segmentation. Neurocomputing 71(4-6), 776-786 (2008)

Ficheros (Some files may be inaccessible until you login with your e-spacio credentials)
Nombre Descripción Tipo MIME Size
Carmona_Suarez_Enrique_PARAMETRIC_IMPROVEMENT.pdf Carmona_Suarez_Enrique_PARAMETRIC_IMPROVEMENT.pdf application/pdf 543.59KB

Título Parametric improvement of lateral interaction in accumulative computation in motion-based segmentation
Autor(es) Martínez Campos, Javier
Carmona, Enrique J.
Fernández Caballero, Antonio
López, María T:
Materia(s) Informática
Ingeniería Informática
Abstract Segmentation of moving objects is an essential component of any vision system. However, its accomplishment is hard due to some challenges such as the occlusion treatment or the detection of objects with deformable appearance. In this paper an artificial neuronal network approach for moving object segmentation, called lateral interaction in accumulative computation (LIAC), which uses accumulative computation and recurrent lateral interaction is revisited. Although the results reported for this approach so far may be considered relevant, the problems faced each time (environment, objects of interest, etc.) make that the system outcome varies. Hence, our aim is to improve segmentation provided by LIAC in a double sense: by removing the detected objects not matching some size or compactness constraints, and by learning suitable parameters that improve the segmentation behavior through a genetic algorithm.
Palabras clave parameter optimization
genetic algorithm
neural network
motion segmentation
Editor(es) Elsevier
Fecha 2009-01
Formato application/pdf
Identificador bibliuned:95-Ejcarmona-0015
http://e-spacio.uned.es/fez/view/bibliuned:95-Ejcarmona-0015
DOI - identifier http://dx.doi.org/10.1016/j.neucom.2007.10.007
ISSN - identifier 1872-8286
Nombre de la revista Neurocomputing
Número de Volumen 71
Número de Issue 4-6
Página inicial 776
Página final 786
Publicado en la Revista Neurocomputing 71(4-6), 776-786 (2008)
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales This is an Accepted Manuscript of an article published by Elsevier in "Neurocomputing 71(4-6), 776-786 (2008)", available at: http://dx.doi.org/10.1016/j.neucom.2007.10.007
Notas adicionales Este es el manuscrito aceptado del artículo publicado por Elsevier en "Neurocomputing 71(4-6), 776-786 (2008)", disponible en: http://dx.doi.org/10.1016/j.neucom.2007.10.007

 
Versiones
Versión Tipo de filtro
Contador de citas: Google Scholar Search Google Scholar
Estadísticas de acceso: 47 Visitas, 7 Descargas  -  Estadísticas en detalle
Creado: Thu, 11 Apr 2024, 17:52:02 CET