A REAL WORLD DETECTION SYSTEM - Combining Color, Shape and Appearance to Enable Real-time Road Sign Detection

Peng Wang, Jianmin Li, Bo Zhang

Abstract

Although specific object detection has undergone great advances in recent years, its application to critical real-time circumstances like those in automated vehicle controlling is still limited, especially when facing strict speed and precision requirements. This paper uses a hybrid of various computer vision techniques including color space analysis, Haar-wavelet cascade detector, contour analysis and RANSAC shape-fitting, to achieve a real-time detection speed while maintaining a reasonable precision and false-alarm level. The result is a practical system that out-performed most rivals in an automated vehicle contest and an indication of feasible CV application to speed critical areas.

References

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Paper Citation


in Harvard Style

Wang P., Li J. and Zhang B. (2012). A REAL WORLD DETECTION SYSTEM - Combining Color, Shape and Appearance to Enable Real-time Road Sign Detection . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 675-678. DOI: 10.5220/0003814306750678


in Bibtex Style

@conference{visapp12,
author={Peng Wang and Jianmin Li and Bo Zhang},
title={A REAL WORLD DETECTION SYSTEM - Combining Color, Shape and Appearance to Enable Real-time Road Sign Detection},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={675-678},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003814306750678},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - A REAL WORLD DETECTION SYSTEM - Combining Color, Shape and Appearance to Enable Real-time Road Sign Detection
SN - 978-989-8565-03-7
AU - Wang P.
AU - Li J.
AU - Zhang B.
PY - 2012
SP - 675
EP - 678
DO - 10.5220/0003814306750678