SciSports: Learning football kinematics through two-dimensional tracking data

Two-dimensional positional data during entire matches. The data provided to us was two-dimensional positional data during entire matches. We developed methods based on Newtonian mechanics and the Kalman filter, Generative Adversarial Nets and Variational Autoencoders.

本数据集涵盖全场比赛期间的二维位置数据。
本次提供给我们的数据集即为全场比赛期间的二维位置数据。
我们基于牛顿力学（Newtonian mechanics）、卡尔曼滤波器（Kalman filter）、生成对抗网络（Generative Adversarial Nets）以及变分自编码器（Variational Autoencoders）开发了相应研究方法。