中文说明：
计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。
English Description：
One of the most important research in computer vision is moving object detection, which not only has related research in pattern recognition, but also has special significance in the field of image understanding. Moving object detection is to extract the moving object through the image sequence frame image. Through the use of related algorithms, an image is divided into front attractions and background points. Moving object detection algorithm provides the basis for the following moving object classification, tracking and analysis. This paper describes several commonly used video moving object detection algorithms, and focuses on the background difference method, through two methods to compare the characteristics of the difference method. The main process of background subtraction algorithm is: video acquisition, video conversion to image sequence, image graying, noise removal, differential image, and subsequent image processing. This project is completed by using the more common mathematical software MATLAB, which has a powerful toolbox. It has a wide range of support for image processing.