FALSE ALARM FILTERING IN A VISION TRAFFIC SIGN RECOGNITION SYSTEM - An Approach based on AdaBoost and Heterogeneity of Texture

Sergio Lafuente-Arroyo, Saturnino Maldonado-Bascón, Hilario Gómez-Moreno, Pedro Gil-Jiménez

Abstract

The high variability of road sign appearance and the variety of different classes have made the recognition of pictograms a high computational load problem in traffic sign detection based on computer vision. In this paper false alarms are reduced significantly by designing a cascade filter based on boosting detectors and a generative classifier based on heterogeneity of texture. The false alarm filter allows us to discard many false positives using a reduced selection of features, which are chosen from a wide set of features. Filtering is defined as a binary problem, where all speed limit signs are grouped together against noisy examples and it is the previous stage to the input of a recognition module based on Support Vector Machines (SVMs). In a traffic sign recognition system, the number of candidate blobs detected is, in general, much higher than the number of traffic signs. As asymmetry is an inherent problem, we apply a different treatment for false negatives (FN) and false positives (FP). The global filter offers high accuracy. It achieves very low false alarm ratio with low computational complexity.

References

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Paper Citation


in Harvard Style

Lafuente-Arroyo S., Maldonado-Bascón S., Gómez-Moreno H. and Gil-Jiménez P. (2011). FALSE ALARM FILTERING IN A VISION TRAFFIC SIGN RECOGNITION SYSTEM - An Approach based on AdaBoost and Heterogeneity of Texture . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 269-276. DOI: 10.5220/0003156402690276


in Bibtex Style

@conference{icaart11,
author={Sergio Lafuente-Arroyo and Saturnino Maldonado-Bascón and Hilario Gómez-Moreno and Pedro Gil-Jiménez},
title={FALSE ALARM FILTERING IN A VISION TRAFFIC SIGN RECOGNITION SYSTEM - An Approach based on AdaBoost and Heterogeneity of Texture},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003156402690276},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - FALSE ALARM FILTERING IN A VISION TRAFFIC SIGN RECOGNITION SYSTEM - An Approach based on AdaBoost and Heterogeneity of Texture
SN - 978-989-8425-40-9
AU - Lafuente-Arroyo S.
AU - Maldonado-Bascón S.
AU - Gómez-Moreno H.
AU - Gil-Jiménez P.
PY - 2011
SP - 269
EP - 276
DO - 10.5220/0003156402690276