Adaptive 3D shape context representation for motion trajectory classification

@article{Liu2016Adaptive3S,
  title={Adaptive 3D shape context representation for motion trajectory classification},
  author={Weihua Liu and Zuhe Li and Geng Zhang and Zhong Zhang},
  journal={Multimedia Tools and Applications},
  year={2016},
  volume={76},
  pages={15413-15434}
}
The measurement of similarity between two motion trajectories is one of the fundamental task for motion analysis, perception and recognition. Previous research focus on 2D trajectory similarity measurement. With the advent of 3D sensors, it is possible to collect large amounts of 3D trajectory data for more precise motion representation. As trajectories in 3D space may often exhibit a similar motion pattern but may differ in location, orientation, scale, and appearance variations, the… CONTINUE READING

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