Publication detail

Efficient Recognition of Speed Limit Signs

TORRESEN, J., BAKKE, J., SEKANINA, L.

Original Title

Efficient Recognition of Speed Limit Signs

English Title

Efficient Recognition of Speed Limit Signs

Type

conference paper

Language

en

Original Abstract

An automatic traffic sign detection system would be important in a driver assistance system. In this paper, an approach for detecting Norwegian speed limit signs is proposed. It consists of three major steps: Color-based filtering, location sign(s) in an image and detection of numbers on the sign. About 91% correct recognition is achieved for a selection of 198 images.

English abstract

An automatic traffic sign detection system would be important in a driver assistance system. In this paper, an approach for detecting Norwegian speed limit signs is proposed. It consists of three major steps: Color-based filtering, location sign(s) in an image and detection of numbers on the sign. About 91% correct recognition is achieved for a selection of 198 images.

Keywords

traffic sign detection system, evolutionary algorithm

Released

24.08.2004

Publisher

IEEE Computer Society Press

Location

Los Alamos

ISBN

0-7803-8501-2

Book

Proc. of the 7th International IEEE Conference on Intelligent Transportation Systems

Pages from

1

Pages to

5

Pages count

5

URL

Documents

BibTex


@inproceedings{BUT17347,
  author="Jim {Torresen} and Jorgen {Bakke} and Lukáš {Sekanina}",
  title="Efficient Recognition of Speed Limit Signs",
  annote="An automatic traffic sign detection system would be important in a driver assistance system. In this paper, an approach for detecting Norwegian speed limit signs is proposed. It consists of three major steps: Color-based filtering, location sign(s) in an image and detection of numbers on the sign. About 91% correct recognition is achieved for a selection of 198 images.",
  address="IEEE Computer Society Press",
  booktitle="Proc. of the 7th International IEEE Conference on Intelligent Transportation Systems",
  chapter="17347",
  institution="IEEE Computer Society Press",
  year="2004",
  month="august",
  pages="1--5",
  publisher="IEEE Computer Society Press",
  type="conference paper"
}