首页> 外文会议>Industry Applications Conference, 2005. Fourtieth IAS Annual Meeting. >Intrusion detection system using contour-based multi-planar visual hull method
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Intrusion detection system using contour-based multi-planar visual hull method

机译:基于轮廓的多平面视觉船体方法的入侵检测系统

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In this paper we propose a practical intrusion detection system based on a contour-based multi-planar visual hull method. The system consists of several sets of a camera and a PC (personal computer) connected via network. Prior to the monitoring, a system manager will set up several sensitive planes in the world using a GUI (graphical user interface). To detect the intruding objects, images taken by the cameras are compared with a maintained background image using PISC (peripheral increment sign correlation) method. Then the contour of the object region on a image is traced and transformed to the coordinate of sensitive plane. If the intruding object exceeds the sensitive plane, the contours from each PC would have some common regions. This system does not reconstruct the shape of the object, but the system is able to handle 3D (three-dimensional) protection volumes because multiple sensitive planes can be set arbitrary. This system does not require us to calibrate the camera because this system is based on 2D (two-dimensional) homography.
机译:在本文中,我们提出了一种基于轮廓的多平面视觉船体方法的实用入侵检测系统。该系统由通过网络连接的几组摄像机和一台PC(个人计算机)组成。在进行监视之前,系统管理员将使用GUI(图形用户界面)在世界范围内设置多个敏感平面。为了检测侵入物体,使用PISC(外围增量符号相关)方法将摄像机拍摄的图像与保持的背景图像进行比较。然后,跟踪图像上目标区域的轮廓并将其转换为敏感平面的坐标。如果侵入物体超出敏感平面,则来自每个PC的轮廓将具有一些公共区域。该系统不重建对象的形状,但是该系统能够处理3D(三维)保护体积,因为可以任意设置多个敏感平面。此系统不需要我们校准相机,因为该系统基于2D(二维)单应性。

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