Decomposition of dynamic textures using Morphological Component Analysis

Sloven Dubois (1, 2) , Renaud Péteri (1) , Michel Ménard (2)

1 MIA - Mathématiques, Image et Applications - EA 3165
2 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

The research context of this work is dynamic texture analysis and characterization. Many dynamic textures can be modeled as large scale propagating wavefronts and local oscillating phenomena. After introducing a formal model for dynamic textures, the Morphological Component Analysis (MCA) approach with a well chosen dictionary is used to retrieve the components of dynamic textures. We define two new strategies for adaptive thresholding in the MCA framework, which greatly reduce the computation time when applied on videos. Tests on real image sequences illustrate the efficiency of the proposed method. An application to global motion estimation is proposed and future prospects are finally exposed.

Mots clés: Dynamic Textures; Spatio-Temporal Decompositions; Morphological Component Analysis

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Sloven Dubois, Renaud Péteri, Michel Ménard. Decomposition of dynamic textures using Morphological Component Analysis. IEEE Transactions on Circuits and Systems for Video Technology, 2011, pp.1-14. ⟨10.1109/TCSVT.2011.2159430⟩. ⟨hal-00600330⟩