视频监控系统的设计汇总.docVIP

视频监控系统的设计与实现 摘 要 随着计算机信息处理技术、视觉处理技术、多媒体技术的快速发展，计算机视频监控系统在国家安全方面所起到的重要作用越来越明显，受到了各界人士的广泛关注。而视频监控技术中运动目标检测技术是这个领域的重要研究方向，本论文通过对现有主流目标检测算法的研究，在总结和分析的基础上提出一种新的检测算法，能够实现背景有效更新，并应用于一个完整的智能视频监控系统中，使系统具备更好的检测效果。 运动目标检测技术是计算机视频监控系统中首要的和关键的技术，它是以后计算机视觉技术和监控技术发展到更高级水平的前提。运动目标检测的目的是为了找到产生运动的区域，就是要实现在视频图像序列中提取真实监控场景中的前景运动目标，并对检测出来的运动目标进行分割。 本论文首先对目前主流的视频检测算法，如光流法、背景差分法、帧间差分法、熵检测法进行实验分析与研究，比较优势与不足、适用范围、存在的问题及处理办法。在掌握背景差分法和帧间差分法的原理的基础上，进行结合，提出了使用于摄像机固定的运动目标检测方法，能够有效的进行背景更新，更精确的提取出运动目标，并能减轻由于外界光照条件、背景扰动、噪音等干扰因素造成的影响。试验表明，该算法准确，有很好的检测效果。 关键词：视频检测，监控，匹配准则，采样速率 The Design and Implementation of Video Surveillance System Abstract With the computer information processing, visual processing, the rapid development of multimedia technology, computer video surveillance system in terms of national security, more and more obvious the important role played by the public attention. The video monitoring technology in motion detection technology is an important research direction in this field, this paper through the existing main target detection algorithm, the summary and analysis based on the a new detection algorithm, can achieve effective update the background and applied to a complete intelligent video surveillance system, the system has better detection. Moving target detection technology is the computer video surveillance system in the first and key technologies, it is the future of computer vision technology and monitoring technology to a more advanced level of development of the premise. The purpose of moving target detection is to find areas in motion, is to achieve the real video image sequences to extract the prospect of monitoring moving objects in the scene, and the detected moving object segmentation. In this thesis, the current mainstream video detection algorithms, such as optical flow, background subtraction method, frame difference method, entropy detection analysis and research experiments to compare the advantages and disadvantages, scope, problems and approaches. In the