• DocumentCode
    2533314
  • Title

    Feature extraction in vehicle classification

  • Author

    Górski, Maksymilian ; Zarzycki, Jan

  • Author_Institution
    Wroclaw Univ. of Technol., Wroclaw, Poland
  • fYear
    2012
  • fDate
    18-21 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Vehicle classification based on their acoustic emission is a complex problem. Vehicle consist of many noise sources, and environmental noise can also be significant. The key to efficient vehicle classification is choosing the optimal feature extraction method. In this article three methods are presented, each relating to properties of vehicle noise. Methods are compared in context of their separability and generalization.
  • Keywords
    acoustic emission; acoustic noise; acoustic signal processing; feature extraction; road vehicles; signal classification; traffic engineering computing; acoustic emission; environmental noise; noise source; optimal feature extraction method; vehicle classification; Engines; Harmonic analysis; Noise; Roads; Support vector machines; Vectors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals and Electronic Systems (ICSES), 2012 International Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4673-1710-8
  • Electronic_ISBN
    978-1-4673-1709-2
  • Type

    conf

  • DOI
    10.1109/ICSES.2012.6382264
  • Filename
    6382264
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2533314