Tracking People with a Sparse Network of Bearing Sensors

  • A. Rahimi
  • B. Dunagan
  • T. Darrell
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3024)


Recent techniques for multi-camera tracking have relied on either overlap between the fields of view of the cameras or on a visible ground plane. We show that if information about the dynamics of the target is available, we can estimate the trajectory of the target without visible ground planes or overlapping cameras.


Ground Plane Sparse Network Bearing Sensor Camera Optical Axis Camera Optical Center 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • A. Rahimi
    • 1
  • B. Dunagan
    • 1
  • T. Darrell
    • 1
  1. 1.MIT Computer Science and Artificial Intelligence LaboratoryCambridgeUSA

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