Calibration of visual sensors and actuators in distributed computing platforms

  • Authors:

  • E. Hörster;R. Lienhart;W. Kellermann;J.-Y. Bouguet

  • Affiliations:

  • University of Augsburg, Augsburg, Germany;University of Augsburg, Augsburg, Germany;University of Erlangen-Nuremberg, Erlangen, Germany;Intel Corporation, Santa Clara, CA

  • Venue:
  • Proceedings of the third ACM international workshop on Video surveillance & sensor networks
  • Year:
  • 2005

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Abstract

Many novel multimedia and visual surveillance applications use multiple sensors and actuators. We present a novel approach for position calibration of visual sensors and actuators, i.e. cameras and displays, in a distributed network of general purpose computing devices. The proposed approach is very suitable for calibration in a wide range of setups since (a synchronization is not required, (b) it works fully automatic, (c) only weak restrictions are imposed on the positions of the cameras and displays, and (d) no upper limit on the number of cameras and displays under calibration is imposed. Corresponding points across different camera images are established automatically and found with subpixel accuracy. Cameras do not have to share one common view, only a reasonable overlap between camera subgroups is necessary. The method has been sucessfully tested in numerous multi-camera environments with a varying number of cameras and displays. It has proven itself to work extremely accurate. Performance results are reported.