A moving detection algorithm based on space-time background difference

Based on the assumption that background figures have been extracted form the input image, we propose a method that can effectively detection the moving objects from image sequence in this paper. The background difference, background difference based neighborhood pixels and frame difference information are fused to get the seed points of real moving object, only the blobs in moving detection based on background difference that intersect with seed pixels are selected as the final moving segmentation result, then we can obtain the true moving foreground. Simulation results show that the algorithm can avoid the false detection due to the wrong in background model or background update and can handle situation where the background of the scene contains small motions, and motion detection and segmentation can be performed correctly.