• DocumentCode
    3564482
  • Title

    Vehicle classification for civilian and non-civilian applications: A survey

  • Author

    Mendoza-Schrock, Olga ; Bourbakis, Nikolas ; Rizki, Mateen ; Velten, Vincent

  • Author_Institution
    Wright State Univ., Fairborn, OH, USA
  • fYear
    2014
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    The ability to classify a vehicle is of extreme importance for both civilian and non-civilian applications. For non-civilian applications the state-of-the-art leaves much to be desired, as hierarchal and real-time classification have yet to be truly investigated. This paper provides a survey of the current state-of-the-art in vehicle classification and provides recommendations for future research areas to advance the current capabilities.
  • Keywords
    automobiles; image classification; traffic engineering computing; civilian application; hierarchal classification; noncivilian application; vehicle classification; Databases; Feature extraction; Histograms; Image edge detection; Lighting; MATLAB; Vehicles; aided target recognition; classification; vehicle classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, NAECON 2014 - IEEE National
  • Print_ISBN
    978-1-4799-4690-7
  • Type

    conf

  • DOI
    10.1109/NAECON.2014.7045796
  • Filename
    7045796