• DocumentCode
    2858993
  • Title

    Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis

  • Author

    Cheng, Shinko Y. ; Park, Sangho ; Trivedi, Mohan M.

  • Author_Institution
    University of California, San Diego
  • fYear
    2005
  • fDate
    25-25 June 2005
  • Firstpage
    3
  • Lastpage
    3
  • Abstract
    This paper presents a multi-perspective (i.e., four camera views) multi-modal (i.e., thermal infrared and color) video based system for robust and real-time 3D tracking of important body parts.The multi-perspective characteristics of the system provides 3Dtrajectory of the body parts, while the multi-modal characteristics of the system provides robustness and reliability of feature detection and tracking. The application context for this research is that of intelligent vehicles and driver assistance systems. Experimental results demonstrate effectiveness of the proposed system.
  • Keywords
    Cameras; Computer vision; Head; Humans; Image color analysis; Infrared detectors; Intelligent vehicles; Real time systems; Robot vision systems; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
  • Conference_Location
    San Diego, CA, USA
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.500
  • Filename
    1565298