A REAL-TIME HISTOGRAPHIC APPROACH TO ROAD SIGN RECOGNITION

This paper presents the development and real-time implementation of an algorithm capable of recognizing stop, yield, and do-not-enter traffic warning signs. It consists of six modules: color segmentation, edge localization, RGB differencing, edge detection, histograph extraction and classification. All the modules are implemented on a processor allowing video data captured by a video camera to be processed in real-time. The devised real-time processing platform has lead to an understanding of various environmental effects on video data.

• Supplemental Notes:
  • Publication Date: 1996 Published By: IEEE Service Center, Piscataway NJ
• Corporate Authors:

  Texas A&M University, College Station

  Department of Electrical Engineering
  College Station, TX  United States  77843
• Authors:
  • Estevez, L
  • Kehtarnavaz, N
• Conference:
  • IEEE Southwest Symposium on Image Analysis and Interpretation (1996 : San Antonio, Tex.). Proceedings
• Publication Date: 1996

Language

• English

Media Info

• Pagination: p. 95-100

Subject/Index Terms

• TRT Terms: Pattern recognition systems; Traffic signs
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00774704
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM