RECOGNITION OF COLORFUL OBJECTS IN VARIANT BACKGROUNDS AND ILLUMINATION CONDITIONS

This paper presents a fuzzy based method for recognizing color objects in a complex background under varying degrees of illumination. The proposed method is applied to stop sign recognition in real-world scenes that may have problematic video camera focus or other color distortions.

• Supplemental Notes:
  • Publication Date: 1994 Published By: IEEE Service Center, Piscataway, NJ
• Corporate Authors:

  Auburn University

  Department of Electrical Engineering
  Auburn, AL  United States  36830
• Authors:
  • Huang, Wen-Chiang
  • Wu, Chwan-Hwa
  • Irwan, J D
• Conference:
  • IEEE International Conference on Industrial Technology (1996 : Shanghai, China). Proceedings ... ICIT '96
• Publication Date: 1994

Language

• English

Media Info

• Pagination: p. 849-853

Subject/Index Terms

• TRT Terms: Adaptive control; Computer vision; Fuzzy logic; Fuzzy systems; Traffic signs
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00775413
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM