HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation

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.
Document type :
Complete list of metadata

Cited literature [22 references]  Display  Hide  Download

Contributor : Rapport de Recherche Inria Connect in order to contact the contributor
Submitted on : Friday, May 19, 2006 - 8:50:26 PM
Last modification on : Friday, May 20, 2022 - 9:04:45 AM
Long-term archiving on: : Sunday, April 4, 2010 - 9:27:33 PM


  • HAL Id : inria-00070552, version 1


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⟩



Record views


Files downloads