Abstract: Assuming that background had been extracted from input images,a new method is proposed for the effective detection of moving objects from an image sequence in this paper.The background difference,frame difference based on time information and background difference based on spatial information were fused to get the moving seeds of real moving objects,and the n only those connected moving components,which contain the seed pixels,in the background difference results,were selected as the final moving foreground objects.Simulation results show that false detection from wrong modeling or inadequate background updating is avoided completely.And the proposed motion detection algorithm is also shown to perform correctly in case that the scene contains small motions.