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Authors: Pavel Yakimov and Vladimir Fursov

Affiliation: Samara State Aerospace University and Image Processing Systems Institute of the Russian Academy of Sciences, Russian Federation

ISBN: 978-989-758-118-2

Keyword(s): Traffic Signs Recognition, Advanced Driver Assistance Systems, Graphics Processing Units, Image Processing, Pattern Recognition.

Related Ontology Subjects/Areas/Topics: Design and Implementation of Signal Processing Systems ; Image and Video Processing, Compression and Segmentation ; Multidimensional Signal Processing ; Multimedia ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Telecommunications

Abstract: Traffic Signs Recognition (TSR) systems can not only improve safety, compensating for possible human carelessness, but also reduce tiredness, helping drivers keep an eye on the surrounding traffic conditions. This paper proposes an efficient algorithm for real-time TSR. The article considers the practicability of using HSV color space to extract the red color. An algorithm to remove noise to improve the accuracy and speed of detection was developed. A modified Generalized Hough transform is then used to detect traffic signs. The current velocity of a vehicle is then used to predict the sign’s location in the adjacent frames in a video sequence. Finally, the detected objects are being classified. The developed algorithms have been tested using real scene images and the German Traffic Sign Detection Benchmark (GTSDB) dataset and showed efficient results.

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Paper citation in several formats:
Yakimov P. and Fursov V. (2015). Traffic Signs Detection and Tracking using Modified Hough Transform.In Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications (ICETE 2015)ISBN 978-989-758-118-2, pages 22-28. DOI: 10.5220/0005543200220028

@conference{sigmap15,
author={Pavel Yakimov and Vladimir Fursov},
title={Traffic Signs Detection and Tracking using Modified Hough Transform},
booktitle={Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications (ICETE 2015)},
year={2015},
pages={22-28},
doi={10.5220/0005543200220028},
isbn={978-989-758-118-2},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications (ICETE 2015)
TI - Traffic Signs Detection and Tracking using Modified Hough Transform
SN - 978-989-758-118-2
AU - Yakimov P.
AU - Fursov V.
PY - 2015
SP - 22
EP - 28
DO - 10.5220/0005543200220028

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