EXTRACTION OF TRAFFIC INFORMATION FROM IMAGES AT DEIS

This paper describes a study which is examining the use of computer vision for extracting information from urban traffic images. Two algorithms are involved: 1) a virtual inductive loop algorithm which computes image differences and is specific for vehicle counting and detection; and, 2) a block matching algorithm that is useful for vehicle motion detection and tracking. The paper concludes with a discussion regarding future research plans.

  • Availability:
  • Supplemental Notes:
    • Publication Date: 1999 IEEE Computer Society Press, Los Alamitos CA
  • Corporate Authors:

    Zhejiang University

    Institute of Structural Engineering
    Hangzhon 310027,   China 

    Universita di Modena

    ,    

    Universita di Bologna. Dipartimento di Elettronica, Informatica e Sistemistica

    ,    

    Elsag SpA

    ,    

    Autovie Venete SpA. Centro Servizi Palmanova

    ,    
  • Authors:
    • Viarani, E
  • Conference:
  • Publication Date: 1999

Language

  • English

Media Info

  • Pagination: p. 1073-1076

Subject/Index Terms

Filing Info

  • Accession Number: 00791867
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: May 5 2000 12:00AM