Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports

@article{Victor2021EnhancingTP,
  title={Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports},
  author={Brandon Victor and Aiden Nibali and Zhen He and David L. Carey},
  journal={Neural Comput. Appl.},
  year={2021},
  volume={33},
  pages={11951-11962}
}
Sophisticated trajectory prediction models that effectively mimic team dynamics have many potential uses for sports coaches, broadcasters and spectators. However, through experiments on soccer data we found that it can be surprisingly challenging to train a deep learning model for player trajectory prediction which outperforms linear extrapolation on average distance between predicted and true future trajectories. We propose and test a novel method for improving training by predicting a sparse… 

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