• DocumentCode
    2846169
  • Title

    Infrared Target Detection with Improved LBP Algorithm

  • Author

    Han, Fuli ; Yang, Jinhua ; Zhao, Qun ; Lu, Shan

  • Author_Institution
    Sch. of Optoelectron. Eng., Changchun Univ. of Sci. & Technol., Changchun, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Targets detection methods of infrared image sequences are studied in this paper. Based on analysis of the traditional LBP algorithm, an improved LBP algorithm, called ¿-LBP algorithm is proposed. This algorithm, which makes full use of the translational invariability and the rotational invariability of the LBP operator, is able to detect the edge of targets fast even under complicated backgrounds, in favor of targets recognizing and tracing. Comparing with several other kinds of traditional algorithms, this method improves the veracity and has fast responsivity.
  • Keywords
    image sequences; infrared imaging; object detection; LBP rotational invariability; LBP translational invariability; infrared image sequences; infrared target detection; local binary pattern algorithm; Face; Gray-scale; Humans; Image edge detection; Image sequences; Infrared detectors; Infrared imaging; Object detection; Pixel; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5365088
  • Filename
    5365088