• DocumentCode
    3175316
  • Title

    Tracking Articulating Objects from Ground Vehicles using Mixtures of Mixtures

  • Author

    Abd-Almageed, Wael ; Hussein, Mohamed ; Davis, Larry

  • Author_Institution
    Inst. for Adv. Comput. Studies, Maryland Univ., College Park, MD
  • fYear
    2006
  • fDate
    9-15 Oct. 2006
  • Firstpage
    1230
  • Lastpage
    1236
  • Abstract
    An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background. The state of the object is tracked using a particle filter. Egomotion information are estimated and used to set the state variance of the particle filter. Results of tracking human objects from an unmanned ground vehicle are used to evaluate the tracking algorithm
  • Keywords
    remotely operated vehicles; robot vision; articulating objects tracking; egomotion information; mixtures of mixtures; particle filter; unmanned ground vehicle; Application software; Cameras; Histograms; Humans; Image segmentation; Land vehicles; Motion estimation; Particle filters; Particle tracking; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0258-1
  • Electronic_ISBN
    1-4244-0259-X
  • Type

    conf

  • DOI
    10.1109/IROS.2006.281881
  • Filename
    4058537
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3175316