Calibrating a Wide-Area Camera Network with Non-Overlapping Views using Mobile Devices

  • Kuo, Thomas; Ni, Zefeng; Sunderrajan, Santhoshkumar; Manjunath B
  • Ni Z
  • Sunderrajan S
 et al. 
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Abstract

In a wide-area camera network, cameras are often placed such that their
views do not overlap. Collaborative tasks such as tracking and activity
analysis still require discovering the network topology including the
extrinsic calibration of the cameras. This work addresses the problem of
calibrating a fixed camera in a wide-area camera network in a global
coordinate system so that the results can be shared across calibrations.
We achieve this by using commonly available mobile devices such as
smartphones. At least one mobile device takes images that overlap with a
fixed camera's view and records the GPS position and 3D orientation of
the device when an image is captured. These sensor measurements
(including the image, GPS position, and device orientation) are fused in
order to calibrate the fixed camera. This article derives a novel
maximum likelihood estimation formulation for finding the most probable
location and orientation of a fixed camera. This formulation is solved
in a distributed manner using a consensus algorithm. We evaluate the
efficacy of the proposed methodology with several simulated and
real-world datasets.

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Authors

  • B. S. Kuo, Thomas; Ni, Zefeng; Sunderrajan, Santhoshkumar; Manjunath

  • Zefeng Ni

  • Santhoshkumar Sunderrajan

  • B. S. Manjunath

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