Name
Title | ||
|---|---|---|
Nonlinear distortion-tolerant filters for detection of road signs in background noise |
Abstract | ||
|---|---|---|
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 |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TVT.2002.1002505 | Vehicular Technology, IEEE Transactions |
Keywords | Field | DocType |
channel bank filters,correlation methods,correlators,image recognition,interference suppression,nonlinear filters,object detection,object recognition,background noise rejection,distortion-tolerant filters,illumination invariance,nonlinear correlator,nonlinear filters,partially occluded objects,real image analysis,road sign detection,road sign recognition,rotation tolerance,scale invariance | Noise reduction,Correlation function (quantum field theory),Computer vision,Object detection,Background noise,Nonlinear system,Computer science,Robustness (computer science),Electronic engineering,Artificial intelligence,Real image,Nonlinear distortion | Journal |
Volume | Issue | ISSN |
51 | 3 | 0018-9545 |
Citations | PageRank | References |
13 | 2.86 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Perez, E. | 1 | 13 | 2.86 |
| Bahram Javidi | 2 | 110 | 20.30 |