3D Intrusion Detection System with Uncalibrated Multiple Cameras
In this paper, we propose a practical intrusion detection system using uncalibrated multiple cameras. Our algorithm combines the contour based multi-planar visual hull method and a projective reconstruction method. To set up the detection system, no advance knowledge or calibration is necessary. A user can specify points in the scene directly with a simple colored marker, and the system automatically generates a restricted area as the convex hull of all specified points. To detect an intrusion, the system computes intersections of an object and each sensitive plane, which is the boundary of the restricted area, by projecting an object silhouette from each image to the sensitive plane using 2D homography. When an object exceeds one sensitive plane, the projected silhouettes from all cameras must have some common regions. Therefore, the system can detect intrusion by any object with an arbitrary shape without reconstruction of the 3D shape of the object.
KeywordsIntrusion Detection Intrusion Detection System Restricted Area Common Region Multiple Camera
Unable to display preview. Download preview PDF.
- 1.Collins, R.T., Lipton, A.J., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt, P., et al.: A system for video surveillance and monitoring (VSAM project final report). Technical report, CMU Technical Report CMU-RI-TR-00 (2000)Google Scholar
- 2.Wada, T., Wu, X., Tokai, S., Matsuyama, T.: Homography Based Parallel Volume Intersection: Toward Real-Time Volume Reconstruction Using Active Cameras. In: Proc. Computer Architectures for Machine Perception, pp. 331–339 (2000)Google Scholar
- 3.Mahamud, S., Hebert, M.: Iterative projective reconstruction from multiple views. In: Proc. CVPR, vol. 2, pp. 430–437 (2000)Google Scholar
- 5.Horprasert, T., Harwood, D., Davis, L.S.: A statistical approach for real-time robust background subtraction and shadow detection. In: ICCV 1999, pp. 1–19 (1999)Google Scholar