A new method developed from local binary patterns for dynamic texture recognition

The processing, description and recognition of Dynamic Texture(DT) are new exciting areas of texture analysis.DT is an extension of still texture to temporal domain, which contains motion features and appearance features.The Volume Local Binary Pattern(VLBP) method shows a high performance for DT characterization, however, it contains too many templates, of which the calculation work is huge.This paper proposes a new advanced method of which is based on the Local Binary Motion Patterns(LBMP) for extracting features of DT description and recognition by characterizing the motion and appearance features.The proposed revealing method uses the Concatenated-LBMP histogram as the identifier of DT, which is concatenated by the LBMP histogram derived from motion features based on the Local Binary Pattern(LBP) block-matching criterion and the LBP histogram from appearance features.Experimental results based on the DynTex database show that the proposed method achieves a higher recognition performance than VLBP.