Dynamic measurement clustering to aid real time tracking

@article{Kemp2005DynamicMC,
  title={Dynamic measurement clustering to aid real time tracking},
  author={Christopher Kemp and Tom Drummond},
  journal={Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1},
  year={2005},
  volume={2},
  pages={1500-1507 Vol. 2}
}
We present a technique/or clustering measurements such that high-dimensional parameter estimation problems can be simplified. The key idea is to find rows of the measurement Jacobian whose rank is significantly less than its width. Such a set of rows gives a cluster of measurements which is affected only by a subset of the parameter space. This cluster can be used independently from other measurements to isolate parameter decisions. Unlike static partitioning techniques, the method presented… CONTINUE READING

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