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Title: Using Image Pattern Recognition Algorithms for Processing Video Log Images to Enhance Roadway Infrastructure Data Collection
Accession Number: 01141684
Record Type: Monograph
Availability: National Technical Information Service 5301 Shawnee Road Abstract: 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.
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
Report/Paper Numbers: Highway IDEA Project 121
Language: English
Authors: Tsai, Yichang (James)Pagination: 33p
Publication Date: 2009-4
Serial:
NCHRP-IDEA Program Project Final Report
Publisher: Transportation Research Board Edition: Final Report
Period Covered: 1/2006 through 1/2009
Media Type: Print
Features: Figures
(9)
; References
(39)
; Tables
(5)
TRT Terms: Identifier Terms: Uncontrolled Terms: Subject Areas: Highways; Maintenance and Preservation; Operations and Traffic Management; I60: Maintenance; I73: Traffic Control
Files: TRIS, TRB
Created Date: Oct 12 2009 9:54AM
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