System and Method for Predicting Fine-Grained Adversarial Multi-Agent Motion

A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by a processor, causes a computing system to perform operations comprising:

• receiving, by the computing system, tracking data from a tracking system positioned remotely in a venue hosting a sporting event, the tracking data comprising coordinate data for a plurality of sequences of movements for a first plurality of players on a playing surface during the sporting event;
• identifying, by the computing system, a second plurality of players of players co-located with the first plurality of players on the playing surface;
• accessing, by the computing system, identity information for each player of the first plurality of players and the second plurality of players, the identity information comprising at least one of name, team, or position;
• projecting, via an autoencoder of the computing system, a future location of each player of the first plurality of players based on each player's sequence of movements and the second plurality of players co-located with the first plurality of players on the playing surface;
• and
• generating, by the computing system, a graphical representation of the future location of each player on the playing surface.

A system, comprising:

• a processor;
• and
• a memory having programming instructions stored thereon, which, when executed by the processor, causes the system to perform operations comprising:
• receiving tracking data from a tracking system positioned remotely in a venue hosting a sporting event, the tracking data comprising coordinate data for a plurality of sequences of movements for a first plurality of players on a playing surface during the sporting event;
• identifying a second plurality of players of players co-located with the first plurality of players on the playing surface;
• accessing identity information for each player of the first plurality of players and the second plurality of players, the identity information comprising at least one of name, team, or position;
• projecting, via an autoencoder, a future location of each player of the first plurality of players based on each player's sequence of movements and the second plurality of players co-located with the first plurality of players on the playing surface;
• and
• generating a graphical representation of the future location of each player on the playing surface.