A novel background subtraction for intelligent surveillance in wireless network

In wireless network, the resource limitations and process speed are the main constraints. They make many traditional background subtraction methods unable to be applied in wireless network. Vibe algorithm is a newly proposed background subtraction technique and its computational load is very low. That makes it available in the wireless network. However, Vibe is a pixel-level algorithm and it does not take the information of region into consideration. So it can be easily influenced by the background disturbance, noise and illumination change. In this paper a novel background subtraction algorithm which can be used in wireless network is proposed. To deal with these problems, the proposed algorithm employs graph-based image segmentation to segment every frame and construct the region-level information. With the region-level information, the proposed algorithm provides several strategies such as classification of regions, modification in neighboring regions and fast elimination of ghost region to improve the result of Vibe algorithm. Experiment results demonstrate that the proposed method can effectively extract the moving objects in various categories of scenes.