• DocumentCode
    617742
  • Title

    Moving dim-target tracking algorithm using template matching

  • Author

    Eunyoung Lee ; Hyun-Jung Yoo ; Eunhye Gu ; Park, Kyung-Hwa

  • Author_Institution
    Dept. of Electron. Eng., Kyungpook Nat. Univ., Deagu, South Korea
  • fYear
    2013
  • fDate
    9-11 May 2013
  • Firstpage
    294
  • Lastpage
    297
  • Abstract
    This paper proposes the method for tracking a dim target included in images acquired by an infrared (IR) sensor. By using target information obtained in the first frame for target detection in the next frame, execution time was shortened, and unnecessary computations were removed. Also by suppressing IR sensor noise and emphasizing the target, this enabled more effective tracking. In order to verify the performance of proposed method, error between the center of real target and the center which was obtained by algorithm was compared. Moreover, the result of the experiment investigates the proposed method´s outstanding performance for tracking dim targets.
  • Keywords
    image enhancement; image matching; infrared detectors; target tracking; IR sensor noise suppression; execution time; infrared searching-and-tracking system; infrared sensor; moving dim-target tracking algorithm; template matching; IEC standards; ISO standards; small target tracking; target enhancement; template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013 International Conference on
  • Conference_Location
    Konya
  • Print_ISBN
    978-1-4673-5612-1
  • Type

    conf

  • DOI
    10.1109/TAEECE.2013.6557289
  • Filename
    6557289