By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kawabata, S. ; Graduate Sch. of Eng. Sci., Osaka Univ., Japan ; Hiura, S. ; Inokuchi, S.

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.

Published in:

Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Proceedings of IEEE International Conference on

Date of Conference:

30 July-1 Aug. 2003