• DocumentCode
    457334
  • Title

    Real-time Object Recognition using Relational Dependency based on Graphical Model

  • Author

    Yun, Woo-han ; Bang, Sung Yang ; Kim, Daijin

  • Author_Institution
    Intelligent Robot Res. Div., Electron. & Telecommun. Res. Inst., Daejeon
  • Volume
    3
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    28
  • Lastpage
    32
  • Abstract
    When we recognize the objects, it is effective to use the relational dependency that several different objects co-exist each other. This paper proposes a real-time object recognition using the relational dependency among the objects that is represented by the graphical model. Experiment results validate that the proposed method is a fast and effective way of recognizing the objects in terms of high recognition rate and low false alarm rate
  • Keywords
    graph theory; object recognition; graphical model; real-time object recognition; relational dependency; Computer science; Detectors; Graphical models; Human robot interaction; Intelligent robots; Logistics; Object detection; Object recognition; Pattern recognition; Phase detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.965
  • Filename
    1699461
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=457334