• DocumentCode
    3483645
  • Title

    Visual people detection for safe Human-Robot Interaction

  • Author

    Martinez-Martin, Ester ; del Pobil, Angel P.

  • Author_Institution
    Eng. & Comput. Sci. Dept., Univ. Jaume-I, Castellon, Spain
  • fYear
    2013
  • fDate
    26-29 Aug. 2013
  • Firstpage
    326
  • Lastpage
    327
  • Abstract
    The ability of any robot to robustly detect and recognize people is a fundamental issue to allow safe Human-Robot Interactions. This ability allows the system to deal with situations that are not determined a priori, while safely performing its tasks. Some research has been carried out on this topic, although most of the proposed approaches restrict the systems autonomy, flexibility and/or performance time. In this paper, we present a visual application for human detection and recognition without limiting the systems capabilities.
  • Keywords
    human-robot interaction; object detection; object recognition; robot vision; safety; people recognition; safe human-robot interaction; systems autonomy; systems capabilities; visual application; visual people detection; Cameras; Computer vision; Feature extraction; Image color analysis; Robustness; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RO-MAN, 2013 IEEE
  • Conference_Location
    Gyeongju
  • ISSN
    1944-9445
  • Type

    conf

  • DOI
    10.1109/ROMAN.2013.6628478
  • Filename
    6628478