• DocumentCode
    400067
  • Title

    3D head tracking and body lean estimation

  • Author

    Nanda, Harsh ; FujiMura, Kikuo

  • Author_Institution
    Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    12-15 Oct. 2003
  • Firstpage
    305
  • Abstract
    A method is presented for a single camera based robust 3D human head tracking in highly cluttered and complex real world environments. The method makes effective use of a recently introduced real-time 3D depth sensing technology, resulting in illumination-invariant face tracking. The tracker´s robust head depth estimates are further used for an important application of body lean estimation.
  • Keywords
    cameras; edge detection; face recognition; image sensors; motion estimation; real-time systems; body lean estimation; camera; head depth estimation; illumination invariant face tracking; real-time 3D depth sensing technology; robust 3D human head tracking; Color; Computer science; Detectors; Face detection; Head; Humans; Image edge detection; Layout; Monitoring; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
  • Print_ISBN
    0-7803-8125-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2003.1251968
  • Filename
    1251968