Gaussian process regression flow for analysis of motion trajectories

@article{Kim2011GaussianPR,
  title={Gaussian process regression flow for analysis of motion trajectories},
  author={Kihwan Kim and Dongryeol Lee and Irfan A. Essa},
  journal={2011 International Conference on Computer Vision},
  year={2011},
  pages={1164-1171}
}
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new representation specifically aimed at matching motion trajectories. We model a trajectory as a continuous dense flow field from a sparse set of vector sequences using Gaussian Process Regression. Furthermore, we introduce a random sampling strategy for learning stable classes of motions from limited data. Our… CONTINUE READING

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