• DocumentCode
    2122616
  • Title

    Automatic Vehicle Detection and Classification

  • Author

    Ferreira, Pedro M. ; Marques, Gonçalo ; Jorge, Pedro M. ; Abrantes, Arnaldo J. ; Amador, Antönio

  • Author_Institution
    Multimedia & Machine Learning Group, Telecommun. & Comput. Eng., Lisbon
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    501
  • Lastpage
    505
  • Abstract
    This paper presents a proposal for an automatic vehicle detection and classification (AVDC) system. The proposed AVDC should classify vehicles accordingly to the Portuguese legislation (vehicle height over the first axel and number of axels), and should also support profile based classification. The AVDC should also fulfill the needs of the Portuguese motorway operator, Brisa. For the classification based on the profile we propose the use of Eigenprofiles, a technique based on Principal Components Analysis. The system should also support multi-lane free flow for future integration in this kind of environments.
  • Keywords
    eigenvalues and eigenfunctions; feature extraction; image classification; legislation; principal component analysis; traffic engineering computing; Portuguese legislation; Portuguese motorway operator; automatic vehicle classification; automatic vehicle detection; eigen profiles; multilane free flow; principal components analysis; profile based classification; vehicle height; Intelligent sensors; Intelligent transportation systems; Legislation; Optical pulses; Principal component analysis; Pulse measurements; Sensor phenomena and characterization; Sensor systems; Vehicle detection; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2111-4
  • Electronic_ISBN
    978-1-4244-2112-1
  • Type

    conf

  • DOI
    10.1109/ITSC.2008.4732682
  • Filename
    4732682