Abstract
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.
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© 2007 Springer-Verlag Berlin Heidelberg
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Kawabata, S., Hiura, S., Sato, K. (2007). 3D Intrusion Detection System with Uncalibrated Multiple Cameras. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds) Computer Vision – ACCV 2007. ACCV 2007. Lecture Notes in Computer Science, vol 4843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76386-4_13
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DOI: https://doi.org/10.1007/978-3-540-76386-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76385-7
Online ISBN: 978-3-540-76386-4
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