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Reports (Research Report) Year : 2005

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.

Domains

Other [cs.OH]
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Dates and versions

inria-00070552 , version 1 (19-05-2006)

Identifiers

  • HAL Id : inria-00070552 , version 1

Cite

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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