节点文献
基于OpenCV和无线通信的智能视频监控报警系统设计
The Design of an Intelligent Video Monitor and Alarm System Based on OpenCV and Wireless Communication
【作者】 张景元；
【导师】 陈和平；
【作者基本信息】 武汉科技大学 ， 模式识别与智能系统， 2009， 硕士
【摘要】 近年来,随着视频监控系统不断地向数字化和智能化方向发展,智能视频监控系统越来越多地出现在了多个应用领域中。智能视频监控不但提高了传统视频监控系统的自动化程度,而且对社会的经济发展、国防建设和社会治安也做出了重要贡献。本文以智能视频监控报警系统为研究对象,对运动目标检测与跟踪算法进行了分析研究。针对检测过程中视频监控背景极易受到干扰的情况,采用RGB颜色、色度、亮度为建模参数的混合高斯模型检测前景图像,有效地消除了视频背景中的抖动干扰以及光线变化产生的影响;着重讨论了卡尔曼滤波器跟踪算法和Mean Shift算法两种运动目标跟踪算法的理论和实现过程,并将Intel公司的OpenCV视觉库与MFC应用程序相结合,利用OpenCV提供的二次开发功能,实现了对运动目标的检测与跟踪,通过其对视频数据处理的高度封装,简化了研发过程,减小了系统开发的工作量。本文所设计的系统在检测到运动目标侵入后,不仅实现了声光报警功能,还将无线通信技术应用在智能视频监控系统中,以西门子短信猫模块为基础,实现了一种专门用于监控报警系统的无线通信报警方式,为系统提供了多样化的报警手段。
【Abstract】 With the video surveillance system developing to digital and intelligent direction gradually in recent years, intelligent video surveillance system more and more often appeared in a number of applications. It not only enhanced the automation of traditional video, but also made important contributions to the economic development, the national defense and the social order.This paper researched on a simple intelligent video surveillance and alarm system, mainly analyzed and researched on the moving object detecting and tracking algorithm. As the background that video surveillance is vulnerable to interference, the paper proposed to establish a mixed-Gaussian model with parameters of color, hue, value, to detect the foreground of video images. It effectively eliminated the vibration disturbance in the video surveillance background, and light influence produced by optical change. The paper also discussed the theory and realization process of Kalman filter track algorithm and Mean Shift emphatically algorithm. The system combined Intel Corporation’s OpenCV Library to the MFC applications, and had realized the moving object detecting and tracking by using the re-development functions of OpenCV. OpenCV had greatly simplified the research and development process, and reduced the system’s work, because of its high degree packaging in video data.When detected a moving object, the system retained the sound and light. Simultaneously, it applied wireless communication technology into the system, used Siemens modem module to realize a kind of wireless communication warning way, provided a new alarm method to the system.