For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
An Active Vision System for On-Line Traffic Sign Recognition
Jun MIURA Tsuyoshi KANDA Shusaku NAKATANI Yoshiaki SHIRAI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2002/11/01
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Information System Technologies for ITS)
traffic sign recognition, active vision, real-time vision, ITS,
Full Text: PDF(1.9MB)>>
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.