A study of moving object detection based on combining background profile difference algorithm

Recent years, moving object detection of video frequency sequence image is more and more important unseeing in intelligent monitory, video compression, automatic navigation, man-machine interaction, virtual reality and so on. In this paper, we use a method of moving object detection based on combining background difference algorithm with edge-texture and object match to get the result In the method, at first updated image background, then detect image edges, extract the objects edges and matches the target, in the end locate and identify the target From experimental analysis, the method can reduce the impact of noise in some extent and make the final test results more accurate.