Moving object detection and tracking based on improved Surendra background updating algorithm

Abstract

Background subtraction method is usually used to detect the moving objects. But the establishment of the background model is vulnerable due to some external environmental influences, e.g. the noise, the brightness variations and so on. This paper presents a method based on three frame difference arithmetic of Surendra background updating algorithm to build the background model. By difference calculation of the current frame and background model, and deal with the binary images by applying the difference images, then make the morphology operation for removing the noises to get the smooth images, mark the different connected regions among binary images. According to different labels in connected regions, this paper defines different center of mass of moving objects, and analyzes the image features of moving object area, so as to achieve the detection and track of moving objects.