Dynamic texture recognition using volume local binary patterns

Authors:
Guoying Zhao;Matti Pietikäinen
Affiliations:
Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland;Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland
Venue:
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Year:
2006

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Abstract

Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures has attracted growing attention. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with volume local binary patterns (VLBP), which are an extension of the LBP operator widely used in still texture analysis, combining the motion and appearance together. A rotation invariant VLBP is also proposed. Our approach has many advantages compared with the earlier approaches, providing a better performance for two test databases. Due to its rotation invariance and robustness to gray-scale variations, the method is very promising for practical applications.