• DocumentCode
    152552
  • Title

    Automatic human activity classification using radar

  • Author

    Karabacak, C. ; Gurbuz, Sevgi Zubeyde ; Gurbuz, A.C.

  • Author_Institution
    Elektrik ve Elektron. Muhendisligi Bolumu, TOBB Ekonomi ve Teknoloji Univ., Ankara, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1051
  • Lastpage
    1054
  • Abstract
    Developing automatic target classification algorithms using radar is a widely researched topic in recent years. Among the targets classified in these algorithms, the most studied is humans. Classification of humans with high accuracy is very significant for many military and civil applications. Moreover, in these studies, besides the classification of human target, activities are also analyzed. Knowledge of the activity a person is engaged in can substantially change the alarm level in some applications. In this paper, an algorithm that automatically classifies walking, running, crawling, and creeping using radar is presented.
  • Keywords
    Doppler radar; image classification; radar imaging; radar target recognition; automatic human activity classification; automatic target classification algorithms; human target classification; radar imaging; Conferences; Doppler effect; Doppler radar; Radar remote sensing; Radar signal processing; human activity classification; micro-Doppler; motion capture (MOCAP); radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830413
  • Filename
    6830413