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Nonlinear distortion-tolerant filters for detection of road signs in background noise

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2 Author(s)
Perez, E. ; Dept. of Opt. & Optometry, Tech. Univ. of Catalonia, Barcelona, Spain ; Javidi, B.

In a road sign recognition task, many distortions of targets can occur at the same time. Scale invariance, tolerance to both in-plane and out-of-plane rotations and illumination invariance are examples of features that a road sign recognition system must possess. We propose a nonlinear correlator that performs several correlations between an input scene and different reference targets. Postprocessing of nonlinear correlation results permits attainment of a single output for the recognition system. The nonlinear filters provide invariance to. distortions of the target, noise robustness, and rejection of background noise. We combine a bank of nonlinear composite correlation filters to design a more versatile road sign recognition system. The bank of filters allows tolerance to changes in scale and tolerance to a certain degree of input-plane rotation. The synthesized nonlinear composite correlation filter permits tolerance to out-of-plane rotation of the target. The system is tested by analysis of real images, which include different distorted versions of stop signs. The processor can be designed for a variety of road signs in background scenes. The recognition results obtained for the proposed system show its robustness against the aforementioned distortions, any varying illumination conditions and partially occluded objects

Published in:

Vehicular Technology, IEEE Transactions on  (Volume:51 ,  Issue: 3 )

Date of Publication:

May 2002

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