Abstract
In this paper a system is presented for real time recognition of the traffic signs. Sign detection is done by a method of adaptively growing window. Classification is based on matching of the modulo-shifted phase histograms. These are built from the stick component of the structural tensor rather than from an edge detector. To cope with inherent rotations of signs a novel measure is proposed for matching of the modulo-shifted histograms that also boosts responses of highly probable values. The method is tolerant of small translations, rotations and symmetrical changes of scale. It works also well under different lighting conditions and tolerates noise and small occlusions.
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Cyganek, B. (2008). A Real-Time Vision System for Traffic Signs Recognition Invariant to Translation, Rotation and Scale. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_25
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DOI: https://doi.org/10.1007/978-3-540-88458-3_25
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