Real-time recognition of road traffic sign in motion image based on genetic algorithm

Author

Liu, Han ; Liu, Ding ; Xin, Jing

Author_Institution

Sch. of Autom. & Inf. Eng., Xi´´an Univ. of Technol., China

Volume

1

fYear

2002

fDate

2002

Firstpage

83

Abstract

In this paper, a new technology based on the genetic algorithm and new image filter for recognizing road traffic sign from motion image captured by a CCD camera in a car was developed. In order to realize a real-time position recognition, the step genetic algorithm with search region limits and image filter (denoted by SVF) were proposed. The genetic algorithm with search region limits was employed to detect the position and size of traffic signs in real-time as well as SVF was employed to extract specified colors. The feasibility and validity of the proposed scheme are demonstrated through road driving experiments.

Keywords

computer vision; feature extraction; genetic algorithms; image colour analysis; image recognition; image sequences; real-time systems; road traffic; CCD camera; feature extraction; image colors; image filter; motion image; real-time systems; road traffic sign recognition; search region limits; simple vector filter; step genetic algorithm; Automation; Cameras; Filters; Genetic algorithms; Image edge detection; Image processing; Image recognition; Layout; Mobile robots; Roads;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1176714

Filename

1176714