智能视频监控融合了计算机视觉、图像处理、模式识别、人工智能等多个学科的知识，是计算机视觉领域一个新兴的应用方向和备受关注的前沿课题。智能视频监控在不需要人为干预的情况下，利用计算机视觉和视频分析的方法对图像序列进行实时自动分析，实现对动态场景中目标的检测、识别和跟踪，并在此基础上分析和判断目标的行为，得出对视频内容的理解以及对客观场景的解释，从而指导和规划行动。 本文基于智能视频监控，将运动目标跟踪问题分解为运动检测和目标跟踪分别加以讨论，分类描述了目标跟踪问题的研究现状、研究方法及常用算法，比较了各种方法的优劣及面临的技术难点问题，并基于Visual C++ 6.0实现对运动目标的简单检测跟踪。

Intelligent video surveillance (IVS) system which involves many subjects including computer vision，image processing；pattern recognition，artificial intelligence and other knowledge，is a new high-tech application field of computer vision and is an advanced topic of concern．An IVS system can automatically detect，recognize，and track motion objects using computer vision knowledge and video analysis methods．Furthermore，it can analyze and judge the behavior of motion objects．It aims to understand the content of the video streams and to explain the scenes and the activities．So it can help people to make some decisions by giving advices． This paper divided the issue of moving object tracking into moving detection and object tracking separately．First，introduced the research status，methods and common algorithms．Second，by means of comparing the advantages and disadvantages of various methods，discussed the technical difficulties they faced．Finally，using Visual C++ 6.0 as our developing tools, achieve the goal of simple activity tracking of the motion objects．