DETECTION AND TRACKING OF ROAD SIGNS

This paper describes an approach to detecting and tracking road signs that appear in complex traffic scenes and under various weather and illumination conditions. In the detecting phase, neural networks are used for extracting color and shape features of traffic signs. The signs are then located in the images based on the extracted features using a fuzzy set discipline. In the tracking phase, a Kalman filter is used to track the signs that were located in the detecting phase.

• Supplemental Notes:
  • Publication Date: April-June 2001
• Authors:
  • Fang, C Y
  • Fuh, C S
  • Chen, S W
• Publication Date: 2001

Language

• English

Media Info

• Serial:
  • Raspoznavanie obrazov i analiz izobrazhenii. English. Pattern recognition and image analysis. Vol. 11, no. 2

Subject/Index Terms

• TRT Terms: Fuzzy systems; Image processing; Kalman filtering; Traffic signs
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00922025
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Apr 2 2002 12:00AM