Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/12153
Title: Implementation of a robust optical flow method for color images
Authors: Monzón López, Nelson 
Sánchez, Javier 
Salgado de la Nuez, Agustín Javier 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Optical flow
Motion estimation
Variational techniques
Image registration
Issue Date: 2014
Journal: CTIM Technical Report 
Abstract: 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
Source: CTIM Technical Report [ISSN 2254-2353], n. 4, p. 1-16
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