INTERACTIVE FORMATION ANALYSIS IN SPORTS UTILIZING SEMI-SUPERVISED METHODS

Abstract: a computing system identifies player tracking data and event data corresponding to a match. the match includes a first team and a second team. the player tracking data includes coordinate positions of each player during the event. the event data defines events that occur during the match. the computing system divides the player tracking data into a plurality of segments based on the event information. for each segment of the plurality of segments, the computing system learns a first formation associated with a respective team in possession. for each segment of the plurality of segments, the computing system learns a second formation associated with a respective team not in possession. the computing system maps each first formation to a first class of known formation clusters. the computing system maps each second formation to a second class of known formation clusters.

Inventor(s): Thomas Seidl, Michael Stöckl, Patrick Joseph Lucey

CPC Classification: G06T7/215 (Motion-based segmentation)

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