Texture and Motion Pattern Fusion for Background Subtraction

In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account. Texture information is represented by local binary pattern (LBP), which is tolerant of illumination changes and is computational simplicity. Assuming that there is significant structure in the correlations between observations across time, we propose a novel operator to extract motion information. Then, each pixel is modeled as a group of texture pattern histograms and motion pattern histograms respectively. Finally, we combine the texture pattern-based and motion pattern-based background model. Experimental results on challenging videos demonstrate the robustness and effectiveness of the proposed method.