Indexing Spatio-Temporal Trajectories with Efficient Polynomial Approximations

@article{Ni2007IndexingST,
  title={Indexing Spatio-Temporal Trajectories with Efficient Polynomial Approximations},
  author={Jinfeng Ni and Chinya V. Ravishankar},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2007},
  volume={19}
}
Complex queries on trajectory data are increasingly common in applications involving moving objects. MBR or grid-cell approximations on trajectories perform suboptimally since they do not capture the smoothness and lack of internal area of trajectories. We describe a parametric space indexing method for historical trajectory data, approximating a sequence of movement functions with single continuous polynomial. Our approach works well, yielding much finer approximation quality than MBRs. We… CONTINUE READING
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