Robust autocalibration for a surveillance camera network

@article{Liu2013RobustAF,
  title={Robust autocalibration for a surveillance camera network},
  author={Jingchen Liu and Robert T. Collins and Yanxi Liu},
  journal={2013 IEEE Workshop on Applications of Computer Vision (WACV)},
  year={2013},
  pages={433-440}
}
We propose a novel approach for multi-camera autocalibration by observing multiview surveillance video of pedestrians walking through the scene. Unlike existing methods, we do NOT require tracking or explicit correspondences of the same person across time/views. Instead, we take noisy foreground blobs as the only input and rely on a joint optimization framework with robust statistics to achieve accurate calibration under challenging scenarios. First, each individual camera is roughly calibrated… CONTINUE READING

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