Dynamic Texture Recognition Using Volume Local Binary Patterns.pdfVIP

Dynamic Texture Recognition Using Volume Local Binary Patterns Guoying Zhao and Matti Pietik?inen Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering, P. O. Box 4500 FI-90014 University of Oulu, Finland {gyzhao, mkp}@ee.oulu.fi 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 pro- posed. Our approach has many advantages compared with the earlier ap- proaches, providing a better performance for two test databases. Due to its rota- tion invariance and robustness to gray-scale variations, the method is very promising for practical applications. 1 Introduction Dynamic textures or temporal textures are textures with motion [1]. Dynamic textures (DT) encompass the class of video sequences that exhibit some stationary properties in time [2]. There are lots of dynamic textures in real world, including sea-waves, smoke, foliage, fire, shower and whirlwind. Description and recognition of DT is needed, for example, in video retrieval systems, which have attracted growing atten- tion. Because of their unknown spatial and temporal extend, the recognition of DT is a challenging problem compared with the static case [3]. Polana and Nelson classify visual motion into activities, motion events and dy- namic textures [4]. Recently, a brief survey of DT description and recognition of dy- namic texture was given by Chetverikov and Péteri [5]. In their paper, the existing approaches to temporal texture recognition are classified into five classes: methods based on optic flow, methods computing geometric properties in