System and method for generating trackable video frames from broadcast video

Abstract

A system and method of generating trackable frames from a broadcast video feed are provided herein. A computing system retrieves a broadcast video feed for a sporting event. The broadcast video feed includes a plurality of video frames. The computing system generates a set of frames for classification using a principal component analysis model. The set of frames are a subset of the plurality of video frames. The computing system partitions each frame of the set of frames into a plurality of clusters. The computing system classifies each frame of the plurality of frames as trackable or untrackable. Trackable frames capture a unified view of the sporting event. The computing system compares each cluster to a predetermined threshold to determine whether each cluster comprises at least a threshold number of trackable frames. The computing system classifies each cluster that includes at least the threshold number of trackable frames as trackable.

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 trackable video frames 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 hard...

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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