• DocumentCode
    2396165
  • Title

    Tracking human motion using multiple cameras

  • Author

    Cai, Q. ; Aggarwal, J.K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    68
  • Abstract
    Presents a framework for tracking human motion in an indoor environment from sequences of monocular grayscale images obtained from multiple fixed cameras. Multivariate Gaussian models are applied to find the most likely matches of human subjects between consecutive frames taken by cameras mounted in various locations. Experimental results from real data show the robustness of the algorithm and its potential for real time applications
  • Keywords
    image sequences; human motion; indoor environment; monocular grayscale images; multivariate Gaussian models; tracking; Cameras; Computer vision; Contracts; Gray-scale; Humans; Indoor environments; Monitoring; Robustness; Shape; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546796
  • Filename
    546796
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2396165