Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/12153
Título: Implementation of a robust optical flow method for color images
Autores/as: Monzón López, Nelson 
Sánchez, Javier 
Salgado de la Nuez, Agustín Javier 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
Palabras clave: Optical flow
Motion estimation
Variational techniques
Image registration
Fecha de publicación: 2014
Publicación seriada: CTIM Technical Report 
Resumen: We analyse the influence of colour information in optical flow methods. Typically, most of these techniques compute their solutions using grayscale intensities due to its simplicity and faster processing, ignoring the colour features. However, the current processing systems have minimized their computational cost and, on the other hand, it is reasonable to assume that a colour image offers more details from the scene which should facilitate finding better flow fields. The aim of this work is to determine if a multi-channel approach supposes a quite enough improvement to justify its use. In order to address this evaluation, we use a multi-channel implementation of a well-known TV-L1 method. Furthermore, we review the state-of-the-art in colour optical flow methods. In the experiments, we study various solutions using grayscale and RGB images from recent evaluation datasets to verify the colour benefits in motion estimation.
URI: http://hdl.handle.net/10553/12153
ISSN: 2254-2353
Fuente: CTIM Technical Report [ISSN 2254-2353], n. 4, p. 1-16
Colección:Artículos
miniatura
Artículo de investigación
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