• DocumentCode
    1647540
  • Title

    Intelligent surveillance system used one new method of image recognition

  • Author

    Lingkang, Gu ; Mingzheng, Zhou

  • Author_Institution
    CS Dept. of Anhui Polytechnic University, Wuhu, Anhui China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In surveillance system, because of vidicon and object moveing, the images of a object are very different, a method which can identify objects nicely is required. The wavelet moment has the invariant of translation, scaling and rotation, so it is applid to distill images´ eigenvalues. In this paper, a ameliorative SCNN (Self-organized Competitive Neural Nework) classes objects. The results show that this system is practical, reliable and timely.
  • Keywords
    Eigenvalues and eigenfunctions; Image recognition; Neurons; Pattern recognition; Target recognition; Training; Wavelet transforms; Intelligent surveillance system; SCNN; image recognition; wavelet moment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E -Business and E -Government (ICEE), 2011 International Conference on
  • Conference_Location
    Shanghai, China
  • Print_ISBN
    978-1-4244-8691-5
  • Type

    conf

  • DOI
    10.1109/ICEBEG.2011.5882161
  • Filename
    5882161