• DocumentCode
    3523706
  • Title

    Detection of social interaction from observation of daily living environments

  • Author

    Kizumi, Y. ; Kakusho, Koh ; Okadome, Takeshi ; Funatomi, Takuya ; Iiyama, Masaaki

  • Author_Institution
    Kwansei Gakuin Univ., Sanda, Japan
  • fYear
    2012
  • fDate
    12-14 Dec. 2012
  • Firstpage
    162
  • Lastpage
    167
  • Abstract
    In this article, we discuss how to detect occasional social interaction by a group of people in an open space such as a hall by observing the environment by cameras. Since it is known in the field of social psychology that some characteristic arrangement is maintained by each group of people during interaction, previous works have tried to detect social interaction based on the arrangement. However, these methods could confuse different groups especially when those groups are located close to each other, because the methods only consider direct relationship among the positions or orientations of the people for finding the characteristic arrangement. We propose a new region-based approach, which focuses on the spatial region to be occupied exclusively by each group of the people, introducing a technique for region extraction used in the field of image processing.
  • Keywords
    cameras; feature extraction; image processing; social sciences; cameras; daily living environments; image processing; occasional social interaction; region extraction; region-based approach; social interaction detection; social psychology; Cameras; Face; Floors; Humans; Image processing; Level set; Shape; F-formation; Human communication; Level set method; Personal space; Social signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication Technology (FGCT), 2012 International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-5859-0
  • Type

    conf

  • DOI
    10.1109/FGCT.2012.6476562
  • Filename
    6476562