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The Research and Implementation of Moving Object Detecting and Tracking in Intelligence Video Monitor System

机译:智能视频监控系统中运动目标检测与跟踪的研究与实现

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Video Monitor System has now been widely applied in various fields, Moving Object Detecting and Tracking are both an important part of Video Monitor System and key technology of Intelligence Video Monitor System. So how to track moving object steady, real-time and effectual becomes an important question that needs to be paid attention and researched. Based on the inter-frame difference and background subtraction method of comparison, the dissertation chooses a single Gaussian background model method for Moving Object detection of the video stream captured by network cameras, and then using the Meanshift arithmetic for moving object tracking. All of the above algorithms are encapsulated by Applet, so that can be used flexibility in web projects. At the same time an alarm module is added in the system to achieve SMS alarm function when the module is turned on.
机译:视频监控系统现已广泛应用于各个领域,运动目标的检测与跟踪既是视频监控系统的重要组成部分,又是智能视频监控系统的关键技术。因此,如何稳定,实时,有效地跟踪运动物体成为一个值得关注和研究的重要问题。基于帧间差异和背景相减的比较方法,本文选择一种高斯背景模型方法对网络摄像机捕获的视频流进行运动目标检测,然后采用Meanshift算法进行运动目标跟踪。以上所有算法均由Applet封装,因此可以在Web项目中灵活使用。同时在系统中添加了一个报警模块,以在打开该模块时实现SMS报警功能。

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