Intrusion detection system using contour-based multi-planar visual hull method

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.