• DocumentCode
    3205381
  • Title

    Simultaneous calibration and tracking with a network of non-overlapping sensors

  • Author

    Rahimi, Ali ; Dunagan, Brian ; Darrell, Trevor

  • Author_Institution
    Comput. Sci. & Artificial Intelligence Lab., MIT, Cambridge, MA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    We describe a method for simultaneously recovering the trajectory of a target and the external calibration parameters of non-overlapping cameras in a multi-camera system. Each camera is assumed to measure the location of a moving target within its field of view with respect to the camera´s ground-plane coordinate system. Calibrating the network of cameras requires aligning each camera´s ground-plane coordinate system with a global ground-plane coordinate system. Prior knowledge about the target´s dynamics can compensate for the lack of overlap between the camera fields of view. The target is allowed to move freely with varying speed and direction. We demonstrate the idea with a network of indoor wireless cameras.
  • Keywords
    Markov processes; cameras; image motion analysis; image sensors; iterative methods; maximum likelihood estimation; target tracking; Markov processes; calibration parameters; camera ground plane coordinate system; indoor wireless cameras; iterative methods; moving target location measurement; multicamera system; nonoverlapping cameras; nonoverlapping sensors; tracking; Calibration; Cameras; Computer science; Extrapolation; Intelligent sensors; Sensor phenomena and characterization; Sensor systems; Target tracking; Trajectory; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315031
  • Filename
    1315031