A REAL WORLD DETECTION SYSTEM - Combining Color, Shape and Appearance to Enable Real-time Road Sign Detection
Peng Wang, Jianmin Li, Bo Zhang
2012
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.
DownloadPaper 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