Probabilistic Motion Estimation Based on Temporal Coherence

@article{Burgi2000ProbabilisticME,
  title={Probabilistic Motion Estimation Based on Temporal Coherence},
  author={Pierre-Yves Burgi and Alan L. Yuille and Norberto M. Grzywacz},
  journal={Neural Computation},
  year={2000},
  volume={12},
  pages={1839-1867}
}
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to predict and estimate the motion flows in the image sequence. This temporal grouping can be considered a generalization of the data association techniques that engineers use to study motion sequences. Our temporal grouping theory is expressed in terms of the Bayesian generalization of standard Kalman filtering. To… CONTINUE READING

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