Rotation invariant distance measures for trajectories

@inproceedings{Vlachos2004RotationID,
  title={Rotation invariant distance measures for trajectories},
  author={Michail Vlachos and Dimitrios Gunopulos and Gautam Das},
  booktitle={KDD},
  year={2004}
}
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mean and unit standard deviation). Such transformations can reveal latent patterns and are very commonly used in datamining applications. However, when dealing with multidimensional time-series, which appear naturally in applications such as video-tracking, motion-capture etc, similar motion patterns can also be expressed… CONTINUE READING
Highly Cited
This paper has 104 citations. REVIEW CITATIONS
68 Citations
2 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 68 extracted citations

105 Citations

0510'07'10'13'16
Citations per Year
Semantic Scholar estimates that this publication has 105 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

Similar Papers

Loading similar papers…