A noise tolerant algorithm for the object recognition of warning system

Author

Kang, Dae-Seong

Author_Institution

Electron. & Telecommun. Res. Inst., Taejon, South Korea

fYear

1995

fDate

17-22 Sep 1995

Firstpage

367

Abstract

In this communication, we discuss a noise tolerant traffic sign recognition algorithm which can be utilized in future vehicles to warn drivers that they are approaching traffic signs at an intersection. It is assumed that the vehicle is equipped with a video camera providing chromatic images of the navigational environment. The primary objective of this paper is to develop a noise tolerant color segmentation algorithm and a recognition algorithm which is tolerant to the rotation, position, and scale variations. The treatment of traffic signs by computer vision techniques has been fairly limited in the literature

Keywords

driver information systems; image colour analysis; image segmentation; object recognition; video signal processing; chromatic images; color segmentation algorithm; computer vision techniques; driver; driver warning system; future vehicles; intersection; navigational environment; noise tolerant algorithm; noise tolerant traffic sign recognition algorithm; object recognition; position; recognition algorithm; rotation; scale variations; traffic signs; video camera; Alarm systems; Brightness; Colored noise; Image segmentation; Object recognition; Pattern recognition; Phase noise; Satellite broadcasting; Telecommunication traffic; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on

Conference_Location

Whistler, BC

Print_ISBN

0-7803-2453-6

Type

conf

DOI

10.1109/ISIT.1995.550354

Filename

550354