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| HAL: inria-00070552, version 1 |
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| Auto-models with mixed states and analysis of motion textures |
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| Patrick Bouthemy 1Cécile Hardouin 2 |
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| (2005) |
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| In image motion analysis as well as for several application fields like daily pluviometry data modeling, observations contain two components of different nature. A first part is made with discrete values accounting for some symbolic information and a second part records a continuous (real-valued) measurement. We call such type of observations ``mixed-state observations". In this work we introduce a generalization of Besag's auto-models to deal with mixed-state observations at each site of a lattice. A careful construction as well as important properties of the model will be given. The performance of the model is then evaluated on the modeling of motion textures from video sequences. |
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| 1: | VISTA (INRIA - IRISA) |
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CNRS : UMR6074 – INRIA – Université de Rennes 1 – Institut National des Sciences Appliquées (INSA) |
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| 2: | Statistique Appliquée et MOdélisation Stochastique (SAMOS) |
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Université Paris I - Panthéon-Sorbonne |
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| 3: | Institut de Recherche Mathématique de Rennes (IRMAR) |
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CNRS : UMR6625 – Université de Rennes 1 – École normale supérieure de Cachan - ENS Cachan – Institut National des Sciences Appliquées (INSA) : - RENNES – Université de Rennes II - Haute Bretagne |
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| Domain | : | Computer Science/Other |
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| MIXED STATES / AUTO-MODELS / DYNAMIC TEXTURES / MOTION ANALYSIS |
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| inria-00070552, version 1 | |
| http://hal.inria.fr/inria-00070552 | |
| oai:hal.inria.fr:inria-00070552 | |
| From: Rapport De Recherche Inria | |
| Submitted on: Friday, 19 May 2006 20:50:26 | |
| Updated on: Tuesday, 23 March 2010 09:35:26 | |
