Strategies for detection of distorted road signs in background noise

Elisabet Perez; Maria-Albertina Castro; Bahram Javidi

doi:10.1117/12.449327

13 November 2001 Strategies for detection of distorted road signs in background noise

Elisabet Perez, Maria-Albertina Castro, Bahram Javidi

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Proceedings Volume 4471, Algorithms and Systems for Optical Information Processing V; (2001) https://doi.org/10.1117/12.449327
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

Design of an on-board processor that enables recognition of a given road sign affected by different distortions is presented. The road sign recognition system is based on a nonlinear processor. Analysis of different filtering methods allows us to select the best techniques to overcome a variety of distortions. The proposed recognition system has been tested in real still images as well as in video sequences. Scenes were captured in real environments, with cluttered backgrounds and contain many distortions simultaneously. Recognition results for various images show that the processor is able to properly detect a given road sign even if it is varying in scale, slightly tilted or viewed under different angles. Recognition is also achieved when dealing with partially occluded road signs. In addition, the system is robust to illumination fluctuations.

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Elisabet Perez, Maria-Albertina Castro, and Bahram Javidi "Strategies for detection of distorted road signs in background noise", Proc. SPIE 4471, Algorithms and Systems for Optical Information Processing V, (13 November 2001); https://doi.org/10.1117/12.449327

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KEYWORDS

Nonlinear filtering

Roads

Composites

Target recognition

Tolerancing

Complex systems

Image classification

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