Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46858
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.
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
Thumbnail
Adobe PDF (980,77 kB)
Show full item record

Page view(s)

18
checked on Feb 21, 2021

Download(s)

16
checked on Feb 21, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.