Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46785
Title: Heuristic algorithm for computing fast template motion in video streams
Authors: Sánchez-Nielsen, Elena
Hernández Tejera, Mario 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 2005
Project: Técnicas Para El Robustecimiento de Procesos en Visión Artificial Para la Interacción [Spanish Government under the Project TIN2004-07087]
Journal: Lecture Notes in Computer Science 
Abstract: Many vision problems require computing fast template motion in dynamic scenes. These problems can be formulated as exploration problems and thus can be expressed as a search into a state space based representation approach. However, these problems are hard to solve because they involve search through a high dimensional space. In this paper, we propose a heuristic algorithm through the space of transformations for computing target 2D motion. Three features are combined in order to compute efficient motion: (1) a quality of function match based on a holistic similarity measurement, (2) Kullback-Leibler measure as heuristic to guide the search process and (3) incorporation of target dynamics into the search process for computing the most promising search alternatives. The paper includes experimental evaluations that illustrate the efficiency and suitability for real-time vision based tasks.
URI: http://hdl.handle.net/10553/46785
ISBN: 978-3-540-32046-3
ISSN: 0302-9743
DOI: 10.1007/11558484_69
Source: Blanc-Talon J., Philips W., Popescu D., Scheunders P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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