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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.
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https://hal.inria.fr/inria-00073638
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 1:23:41 PM
Last modification on : Thursday, February 11, 2021 - 2:48:05 PM
Long-term archiving on: : Sunday, April 4, 2010 - 11:52:57 PM

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  • HAL Id : inria-00073638, version 1

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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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