System and method for generating player tracking data from broadcast video

Abstract

A system and method of generating a player tracking prediction are described herein. A computing system retrieves a broadcast video feed for a sporting event. The computing system segments the broadcast video feed into a unified view. The computing system generates a plurality of data sets based on the plurality of trackable frames. The computing system calibrates a camera associated with each trackable frame based on the body pose information. The computing system generates a plurality of sets of short tracklets based on the plurality of trackable frames and the body pose information. The computing system connects each set of short tracklets by generating a motion field vector for each player in the plurality of trackable frames. The computing system predicts a future motion of a player based on the player's motion field vector using a neural network.

Description

[0001] priority document [0002] This application claims the priority of the U.S. provisional application with the filing date of February 28, 2019 and the application number US 62 / 811,889, the entire contents of which are incorporated herein by reference. technical field [0003] The present disclosure generally relates to systems and methods for generating player tracking data from broadcast video. Background technique [0004] Player tracking data has been used in many sports for team and player analysis over the years. However, conventional player tracking systems require sports analytics companies to install fixed cameras at each field where a team plays. This constraint limits the scalability of the athlete tracking system, with limited data collection for current competitions. Additionally, such constraints can incur significant expense for sports analysis companies due to the costs associated with installing the necessary field hardware and maintaining such hardwa...

AI Technical Summary

Problems solved by technology

However, conventional player tracking systems require sports analytics companies to install fixed cameras at each field where a team plays

This constraint limits the scalability of the athlete tracking system, with limited data collection for current competitions

Additionally, such constraints can incur significant expenses for sports analytics companies due to the costs associated with installing the necessary field hardware and maintaining such hardware

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