M. Gelgon, P. Bouthemy. A region-level motion-based graph representation and labeling for tracking a spatial image partition. Pattern Recognition, 33(4):725-740, Avril 2000.
Charger l'article :
Adobe portable document (pdf)
Copyright : Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.
This paper addresses two image sequence analysis issues under a common framework. These tasks are, first, motion-based segmentation and second, updating and tracking over time of a spatial partition of an image. By spatial partition, we mean that constituent regions display an intensity, color or texture-based homogeneity criterion. Several issues in dynamic scene analysis or in image sequence coding can motivate this kind of development. A general-purpose methodology involving a region-level motion-based graph representation of the partition is presented. This graph is built from the topology of the spatial segmentation map. A statistical motion-based labeling of its nodes is carried out and formalized within a Markovian approach. Groups of spatial regions with consistent motion are identified using this labeling framework, leading to a motion-based segmentation that is both useful in itself and for propagating the spatial partition over time. Results on synthetic and real-world image sequences are shown, and provide a validation of the proposed approach
@article{Gelgon00a,
Author = {Gelgon, M. and Bouthemy, P.},
Title = {A region-level motion-based graph representation and labeling for tracking a spatial image partition},
Journal = {Pattern Recognition},
Volume = {33},
Number = {4},
Pages = {725--740},
Month = {April},
Year = {2000}
}
Charger la référence EndNote (.ref)
This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).
