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Title: Comparison of accumulative computation with traditional optical flow
Authors: Fernández-Caballero, Antonio
Pérez-Jiménez, Rafael 
Fernández, Miguel A.
López, María T.
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Optical flow
Accumulative computation method
Image difference
Issue Date: 2007
Journal: Lecture Notes in Computer Science 
Abstract: Segmentation from optical flow calculation is nowadays a well-known technique for further labeling and tracking of moving objects in video streams. A likely classification of algorithms to obtain optical flow based on the intensity of the pixels in an image is in (a) differential or gradient-based methods and (b) block correlation or block matching methods. In this article, we are going to carry out a qualitative comparison of three well-known algorithms (two differential ones and a correlation one). We will do so by means of the optical flow obtaining method based on accumulated image differences known as accumulative computation.
ISBN: 9783540748175
ISSN: 0302-9743
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 4692 LNAI, p. 447-454
Appears in Collections:Actas de congresos
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