• DocumentCode
    130086
  • Title

    A magnetic-assistant multi-ocular tracking system

  • Author

    Qing He ; Ning Wei ; Chao Hu ; Meng, Max Q.-H. ; Youpan Hu

  • Author_Institution
    Guangzhou Inst. of Adv. Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    716
  • Lastpage
    720
  • Abstract
    This paper proposes a hybrid tracking approach which combines the optical and magnetic localization technologies. It first describes the collinear epipolar plane model, then rewrite and enhance the epipolar constraint under this model. Based on it, this paper further discusses the point corresponding and target recognition in multi-ocular infrared tracking systems. Aiming at the calculation complexity during these two processes, it employs magnetic localization technology to tag and roughly localize the tracked targets and then get refined results by optical localization, which dramatically reduces the calculated amount in tracking.
  • Keywords
    infrared detectors; magnetic sensors; optical tracking; target tracking; collinear epipolar plane model; epipolar constraint; hybrid tracking system; magnetic assistant multiocular tracking system; magnetic localization technology; multiocular infrared tracking system; optical localization technology; point corresponding process; target recognition; Cameras; Magnetic flux; Magnetic resonance imaging; Magnetic sensors; Optical imaging; Target recognition; Target tracking; angle corresponding criterion; magnetic localization; perfect corresponding set; target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2014 IEEE International Conference on
  • Conference_Location
    Hailar
  • Type

    conf

  • DOI
    10.1109/ICInfA.2014.6932745
  • Filename
    6932745