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Auto-models with mixed states and analysis of motion textures

Abstract : 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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https://hal.inria.fr/inria-00070552
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Submitted on : Friday, May 19, 2006 - 8:50:26 PM
Last modification on : Tuesday, January 19, 2021 - 11:08:37 AM
Long-term archiving on: : Sunday, April 4, 2010 - 9:27:33 PM

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  • HAL Id : inria-00070552, version 1

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Patrick Bouthemy, Cécile Hardouin, Gwenaelle Piriou, Jian-Feng Yao. Auto-models with mixed states and analysis of motion textures. [Research Report] RR-5454, INRIA. 2005, pp.21. ⟨inria-00070552⟩

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