• DocumentCode
    3549229
  • Title

    Tracking multiple objects through occlusions

  • Author

    Huang, Yan ; Essa, Irfan

  • Author_Institution
    Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Abstract
    Visual tracking of multiple objects with continuous interactions is important for many applications such as surveillance and effective user interfaces. Complex interactions between objects results in both temporally and spatially significant occlusions, making multi-object tracking a challenging problem. We present an approach for tracking varying number of objects through significant occlusions. Our approach builds on the idea of object permanence. That is, partially or fully occluded objects, even though not observable, still exist in the close proximity of their occluders. To demonstrate the viability of this approach, we have concentrated on tracking hands and objects as a person interacts with multiple objects on a desktop. We experimented with 5 indoor video sequences and present the results of two representative ones: lego sequence and shell game.
  • Keywords
    hidden feature removal; image sequences; object detection; optical tracking; video signal processing; hand tracking; indoor video sequences; lego sequence; multiple object visual tracking; occlusions; shell game; surveillance; user interfaces; Computer interfaces; Constraint optimization; Educational institutions; Games; Genetic algorithms; Intrusion detection; Prototypes; Surveillance; User interfaces; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.351
  • Filename
    1467581