A region-level graph labeling approach to motion-based segmentation

Marc Gelgon 1 Patrick Bouthemy 1
1 TEMIS - Advanced Image Sequence Processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
Abstract : This paper deals with the problem of motion-based segmentation of image sequences. Such partitions are multiple-purpose in dynamic scene analysis We first extract a texture-based partition using an unsupervised MRF approach. The regions obtained are then grouped according to a motion-based criterion. This grouping process relies on two motion estimation techniques and exploits contextual information between regions. In contrast with clustering techniques, region grouping is formalized as a motion-based graph labeling process, within a Markovian framework. Results on real-world image sequences are shown and validate the proposed method.
Type de document :
[Research Report] RR-3054, INRIA. 1996
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Soumis le : mercredi 24 mai 2006 - 13:23:41
Dernière modification le : vendredi 16 novembre 2018 - 01:30:24
Document(s) archivé(s) le : dimanche 4 avril 2010 - 23:52:57



  • HAL Id : inria-00073638, version 1


Marc Gelgon, Patrick Bouthemy. A region-level graph labeling approach to motion-based segmentation. [Research Report] RR-3054, INRIA. 1996. 〈inria-00073638〉



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