Bayesian algorithms for adaptive change detection in image sequences using Markov random fields

@article{Aach1995BayesianAF,
  title={Bayesian algorithms for adaptive change detection in image sequences using Markov random fields},
  author={Til Aach and Andr{\'e} Kaup},
  journal={Sig. Proc.: Image Comm.},
  year={1995},
  volume={7},
  pages={147-160}
}
In many conventional methods for change detection, the detections are carried out by comparing a test statistic, which is computed locally for each location on the image grid, with a global threshold. These ‘nonadaptive’ methods for change detection suffer from the dilemma of either causing many false alarms or missing considerable parts of non-stationary areas. This contribution presents a way out of this dilemma by viewing change detection as an inverse, ill-posed problem. As such, the… CONTINUE READING
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