Moving Object Detection and Tracking Based on Improved Surendra Background Updating Algorithm

摘要：

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.

关键词： Surendra Background Updating Background Subtraction Moving Object Detection Morphological Operations

作者: WANG Cheng-liang JTA Liang-liang CHEN Juan-juan

作者单位: College of Computer Science & Engineering , , Chongqing University , Chongqing, 400030,China College of Computer& Information Science, Chongqing Normal University, Chongqing, 400047,China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 237-242

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）