• DocumentCode
    2172974
  • Title

    Automated object recognition - an intelligent system approach

  • Author

    Ramesh, G. ; Madhan Mohan, R.

  • Author_Institution
    Dept. of MCA, Saraswathi Velu Coll. of Eng., Sholinghur
  • fYear
    2007
  • fDate
    20-22 Dec. 2007
  • Firstpage
    574
  • Lastpage
    580
  • Abstract
    Attempts at fully automated object recognition systems have met with varying levels of success over the years. However, none of the systems have achieved high enough accuracy rates to be run unattended. One of the reasons for this may be that they are designed from the computer´s point of view and rely mainly on image-processing methods. A better solution to this problem may be to make use of modern advances in computational intelligence and distributed processing to try to mimic how the human brain is thought to recognize objects. As humans combine cognitive processes with detection techniques, such a system would combine traditional image- processing techniques with computer-based intelligence to determine the identity of various objects in a scene.
  • Keywords
    artificial intelligence; feature extraction; object recognition; automated object recognition; cognitive processes; computational intelligence; detection techniques; distributed processing; image-processing methods; intelligent systems; Computational Intelligence; Feature Extraction; Object Recognition;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
  • Conference_Location
    Tamil Nadu
  • ISSN
    0537-9989
  • Type

    conf

  • Filename
    4735861