An Active Vision System for On-Line Traffic Sign Recognition

Jun MIURA; Tsuyoshi KANDA; Shusaku NAKATANI; Yoshiaki SHIRAI

An Active Vision System for On-Line Traffic Sign Recognition

Jun MIURA, Tsuyoshi KANDA, Shusaku NAKATANI, Yoshiaki SHIRAI

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This paper presents an active vision system for on-line traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lens, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a larger size in the image. The recognition algorithm is designed by intensively using built-in functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road experiments show the feasibility of the system.

Publication: IEICE TRANSACTIONS on Information Vol.E85-D No.11 pp.1784-1792

Publication Date: 2002/11/01

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Type of Manuscript: Special Section PAPER (Special Issue on Information System Technologies for ITS)

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Jun MIURA, Tsuyoshi KANDA, Shusaku NAKATANI, Yoshiaki SHIRAI, "An Active Vision System for On-Line Traffic Sign Recognition" in IEICE TRANSACTIONS on Information, vol. E85-D, no. 11, pp. 1784-1792, November 2002, doi: .
Abstract: This paper presents an active vision system for on-line traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lens, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a larger size in the image. The recognition algorithm is designed by intensively using built-in functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road experiments show the feasibility of the system.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_11_1784/_p

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@ARTICLE{e85-d_11_1784,
author={Jun MIURA, Tsuyoshi KANDA, Shusaku NAKATANI, Yoshiaki SHIRAI, },
journal={IEICE TRANSACTIONS on Information},
title={An Active Vision System for On-Line Traffic Sign Recognition},
year={2002},
volume={E85-D},
number={11},
pages={1784-1792},
abstract={This paper presents an active vision system for on-line traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lens, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a larger size in the image. The recognition algorithm is designed by intensively using built-in functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road experiments show the feasibility of the system.},
keywords={},
doi={},
ISSN={},
month={November},}

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TY - JOUR
TI - An Active Vision System for On-Line Traffic Sign Recognition
T2 - IEICE TRANSACTIONS on Information
SP - 1784
EP - 1792
AU - Jun MIURA
AU - Tsuyoshi KANDA
AU - Shusaku NAKATANI
AU - Yoshiaki SHIRAI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2002
AB - This paper presents an active vision system for on-line traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lens, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a larger size in the image. The recognition algorithm is designed by intensively using built-in functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road experiments show the feasibility of the system.
ER -