Roadway signs represent a substantial investment of public money in road and highway infrastructure. However, the current level of automation in sign identification and recognition, size dimensioning, and location identification is not satisfactory. This paper targets the development of an automated road inventory system addressing these issues. A framework of combining the conventional image processing methods with the Kalman filter tracking method is applied to improve the accuracy and efficiency of the ROW image processing. Through the tracking technique, the candidate region of the road sign in the picture can be predicted based on the previous image frame. Detection efficiency and accuracy of the sign can be improved. The methodologies described in the paper fit a dynamic and motion environment, appropriate for a highway survey vehicle.


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    Title :

    Automated Tracking System for Inventory of Roadway Signs


    Contributors:

    Conference:

    Ninth International Conference on Applications of Advanced Technology in Transportation (AATT) ; 2006 ; Chicago, Illinois, United States



    Publication date :

    2006-08-04




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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