• DocumentCode
    419767
  • Title

    DRUIDE: a real-time system for robust multiple face detection, tracking and hand posture recognition in color video sequences

  • Author

    Terrillon, Jean-Christophe ; Pilpré, Arnaud ; Niwa, Yoshinori ; Yamamoto, Kazuhiko

  • Author_Institution
    Office of Regional Intensive Res. Project, Softopia Japan Found., Gifu, Japan
  • Volume
    3
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    302
  • Abstract
    "DRUIDE", which stands for "detection, recognition, unification, interpretation, decision, evolution", is a novel, real-time system primarily designed for the detection and tracking of multiple human faces as well as for the simultaneous recognition of multiple hand postures in color video sequences and in complex environments. The system relies on the three fundamental cues of color, shape and motion, and integrates three mutually complementary sub-systems, in order to achieve high rates of detection, tracking and recognition. Preliminary experiments yield an average correct face detection rate of about 90%, and the additional use of tracking increases significantly the robustness of the proposed system, particularly to illumination conditions and to partial occlusions. Although we first focus specifically on human faces and hand postures, the ultimate goal of DRUIDE extends beyond human-computer interactions, to encompass the adaptive detection, tracking and recognition of various objects under unconstrained scene conditions.
  • Keywords
    face recognition; human computer interaction; image colour analysis; image sequences; object detection; real-time systems; tracking; video signal processing; DRUIDE; adaptive detection; color video sequences; human face detection; human-computer interactions; multiple hand posture recognition; multiple human face detection; multiple human face tracking; object recognition; object tracking; partial occlusions; real time system; Face detection; Face recognition; Humans; Lighting; Motion detection; Real time systems; Robustness; Shape; Tracking; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334527
  • Filename
    1334527