Abstract
This paper presents a method for defining one or more virtual restricted zones within a surveillance area which is observed with stereo cameras. When an object enters a restricted zone, the system highlights the object shown in the monitoring screen or triggers other devices to produce a visual or auditory alarm. The proposed method works by extracting the foreground objects for both the left and the right images from their respective stereo cameras. Then it estimates the object’s position in terms of depth plane using image shifting and number of overlapping pixels. Finally, it determines whether there is a collision between objects and restricted zones in order to trigger an alarm where necessary. The algorithm has been tested with a series of stereo videos, in which samples of it are presented in this paper.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Collins, R.T., Lipton, A.J., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O.: A System for Video Surveillance and Monitoring: VSAM Final Report, Technical report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University (2000)
Stefano, L.D., Marchionni, M., Mattoccia, S.: A Fast Area-based Stereo Matching Algorithm. In: Image and Vision Computing, vol. 22, pp. 983–1005 (2004)
Tombari, F., Mattoccia, S., Stefano, L.D.: Segmentation-based adaptive support for accurate stereo correspondence. In: Mery, D., Rueda, L. (eds.) PSIVT 2007. LNCS, vol. 4872, pp. 427–438. Springer, Heidelberg (2007)
Sun, C.M.: Fast Stereo Matching using rectangular Subregioning and 3D Maximum-surface Techniques. International Journal of computer Vision 47, 99–117 (2002)
Kaufman, P.L., Alm, A.: Adler’s Physiology of the Eye, 10th edn. Elsevier Health Sciences, Amsterdam (2002)
Sekuler, R., Blake, R.: Perception, 3rd edn. McGraw-Hill, New York (1994)
Piccardi, M.: Background Subtraction Techniques: A Review. In: IEEE International Conference on System, Man and Cybernetics, pp. 3099–3104 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yong, Y.S., Hon, H.W., Osman, Y.S., Chan, C.H., Then, S.J., Chau, S.W. (2009). Virtual Fence for a Surveillance System. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03040-6_99
Download citation
DOI: https://doi.org/10.1007/978-3-642-03040-6_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03039-0
Online ISBN: 978-3-642-03040-6
eBook Packages: Computer ScienceComputer Science (R0)