Automatic Real-Time Video Background Segmentation System

This paper proposes an automatic background segmentation system based on mixture background models and lbp contrast. An adaptive per-pixel background model is developed to set the data cost of an image graph, lbp contrast is adopted to capture the contrast information. We verify our algorithm in different video sequences including public video sequences. Experimental results of composite video demonstrate that our proposed algorithm is efficient.