Using Image Pattern Recognition Algorithms for Processing Video Log Images to Enhance Roadway Infrastructure Data Collection

This Innovations Deserving Exploratory Analysis (IDEA) project developed generalized algorithms to automatically detect and recognize more than 670 different types of traffic signs specified in the Manual on Uniform Traffic Control Devices (MUTCD) by using video log images that are widely available. The developed algorithms provide new capabilities for automating the traffic sign inventory by means of batch processing, which significantly reduces the time and cost spent by state departments of transportation for acquiring traffic sign inventory data. Tests show that the developed detection and recognition algorithms are promising for developing an intelligent sign inventory and management system.

  • Record URL:
  • Supplemental Notes:
    • This NCHRP-IDEA project was conducted by the Georgia Institute of Technology. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
  • Authors:
    • Tsai, Yichang (James)
  • Publication Date: 2009-4


  • English

Media Info

  • Media Type: Print
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 33p
  • Serial:
  • Publication flags:

    Open Access (libre)

Subject/Index Terms

Filing Info

  • Accession Number: 01141684
  • Record Type: Publication
  • Report/Paper Numbers: Highway IDEA Project 121
  • Files: TRIS, TRB
  • Created Date: Oct 12 2009 9:54AM