RECOGNITION OF CIRCULAR TRAFFIC SIGN FROM CONTINUOUS MODE IMAGES USING GENETIC ALGORITHM AND NEURAL NETWORK

This paper describes a new method for traffic sign recognition from a scene image using genetic algorithms. The genetic algorithm is used to recognize the position and size of the traffic sign using continuous mode images. Neural networks are then used to recognize the extracted sign.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/9443685
• Supplemental Notes:
  • Publication Date: 2000
• Corporate Authors:

  Fukui Daigaku. Kogakubu

  ,    
• Authors:
  • Aoyagi, Y
  • Asakura, T
• Publication Date: 2000

Language

• Japanese

Media Info

• Pagination: p. 53-66
• Serial:
  • Fukui Daigaku Kogakubu kenkyu hokoku = Memoirs of the Faculty of Engineering, Kukui University. Vol. 48, no. 1
  • Publisher: Fukui Daigaku. Kogakubu

Subject/Index Terms

• TRT Terms: Computer algorithms; Computer vision; Neural networks; Pattern recognition systems; Traffic signs
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00799970
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Oct 12 2000 12:00AM