|Title:||Comparison of accumulative computation with traditional optical flow||Authors:||Fernández-Caballero, Antonio
Fernández, Miguel A.
López, María T.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Optical flow
Accumulative computation method
|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.||URI:||http://hdl.handle.net/10553/46858||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|
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.