Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46780
Title: Real-time tracking using A* heuristic search and template updating
Authors: Sánchez-Nielsen, E.
Hernández-Tejera, M. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Registration
Images
Issue Date: 2011
Journal: IET Computer Vision 
Abstract: Many vision problems require fast and accurate tracking of objects in dynamic scenes. In this study, we propose an A* search algorithm through the space of transformations for computing fast target 2D motion. Two features are combined in order to compute efficient motion: (i) Kullback-Leibler measure as heuristic to guide the search process and (ii) incorporation of target dynamics into the search process for computing the most promising search alternatives. The result value of the quality of match computed by the A* search algorithm together with the more common views of the target object are used for verifying template updates. A template will be updated only when the target object has evolved to a transformed shape dissimilar with respect to the actual shape. The study includes experimental evaluations with video streams demonstrating the effectiveness and efficiency for real-time vision based tasks with rigid and deformable objects.
URI: http://hdl.handle.net/10553/46780
ISSN: 1751-9632
DOI: 10.1049/iet-cvi.2010.0032
Source: IET Computer Vision [ISSN 1751-9632], v. 5 (3), p. 169-177
Appears in Collections:Artículos
Show full item record

SCOPUSTM   
Citations

4
checked on Jun 26, 2022

WEB OF SCIENCETM
Citations

4
checked on Jun 26, 2022

Page view(s)

54
checked on May 21, 2022

Google ScholarTM

Check

Altmetric


Share



Export metadata



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