• DocumentCode
    2986855
  • Title

    Research of Rapid Attention-Information Extraction in Human-Robot Interaction

  • Author

    Fei, Gong ; Lun, Xie ; Nan, Li ; Zhi-liang, Wang

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2011
  • fDate
    3-4 Dec. 2011
  • Firstpage
    316
  • Lastpage
    320
  • Abstract
    In the human-robot interactions, it is an important research on the artificial intelligence that robots catch the human´s attention information. This process has a significant impact on robot intelligence. In this paper, a system for extracting human´s attention-information from interaction has been designed. On the basis of face detection and eye-area location, an algorithm, combined with ant colony algorithm(ACA) eye edge extracting, curve fitting and eye-model 3D reconstruction, has been designed to achieve attention information successfully by using an ordinary web cam and a low requirement hardware system. There is a significant help on real-time and applicability for human-robot visual interaction.
  • Keywords
    ant colony optimisation; artificial intelligence; curve fitting; edge detection; face recognition; human-robot interaction; image reconstruction; information retrieval; intelligent robots; robot vision; solid modelling; ACA; ant colony algorithm; artificial intelligence; curve fitting; eye area location; eye edge extraction; eye model 3D reconstruction; face detection; human attention information extraction; human robot visual interaction; low requirement hardware system; robot intelligence; webcam; Algorithm design and analysis; Face detection; Feature extraction; Humans; Image edge detection; Iris; Three dimensional displays; 3D reconstruction; Ant Colony Al-gorithm (ACA); Attention; Edge Detection; Human-Robot Interaction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
  • Conference_Location
    Hainan
  • Print_ISBN
    978-1-4577-2008-6
  • Type

    conf

  • DOI
    10.1109/CIS.2011.77
  • Filename
    6128130