Local Binary Pattern Descriptors for Dynamic Texture Recognition
Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with concatenated local binary patterns in three orthonormal planes. The circular neighborhoods are generalized to elliptical sampling to fit to the space-time statistics. This is an extension of the LBP approach widely used in still texture analysis, combining the motion and appearance together. Our approach has many advantages compared with the earlier approaches providing a better performance for the DynTex and MIT databases