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Proceedings Paper

Intrusion detection robust to slow and abrupt lighting changes
Author(s): Aleksej Makarov; Jean-Marc Vesin; Florian Reymond
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Paper Abstract

In this communication we present an image based object detection algorithm which is applied to intrusion detection. The algorithm is based on the comparison of input edges and temporally filtered edges of the background. It is characterized by very low computational and memory loads, high sensitivity to the presence of physical intruders and high robustness to slow and abrupt lighting changes. The algorithm is implementable on a cheap digital signal processor. It was tested on a data base of about one thousand gray-level CIF-format frames representing static scenes with various contents (light sources, intruders, lighting changes), and neither false alarm nor detection failure occurred. The number of parameters involved by the algorithm is very low, and their values do not require a fine tuning. The same set of parameters performs equally well in different conditions: different scenes, various lighting changes, various object sizes.

Paper Details

Date Published: 5 March 1996
PDF: 11 pages
Proc. SPIE 2661, Real-Time Imaging, (5 March 1996); doi: 10.1117/12.234655
Show Author Affiliations
Aleksej Makarov, Swiss Federal Institute of Technology (Switzerland)
Jean-Marc Vesin, Swiss Federal Institute of Technology (Switzerland)
Florian Reymond, Swiss Federal Institute of Technology (Switzerland)

Published in SPIE Proceedings Vol. 2661:
Real-Time Imaging
Phillip A. Laplante; Alexander D. Stoyenko; Divyendu Sinha, Editor(s)

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