公开(公告)号：US20250148615A1

公开(公告)日：2025-05-08

申请号：US19014617

申请日：2025-01-09

Applicant: Stats LLC

Inventor： Long Sha ,  Sujoy Ganguly ,  Xinyu Wei ,  Patrick Joseph Lucey ,  Aditya Cherukumudi

IPC: G06T7/20 ,  G06F18/2135 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2413 ,  G06N3/08 ,  G06T7/00 ,  G06T7/70 ,  G06T7/73 ,  G06T7/80 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V20/40 ,  G06V40/20 ,  H04N21/44

Abstract: A system and method of re-identifying players in 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 plurality of tracks based on the plurality of video frames. Each track includes a plurality of image patches associated with at least one player. Each image patch of the plurality of image patches is a subset of the corresponding frame of the plurality of video frames. For each track, the computing system generates a gallery of image patches. A jersey number of each player is visible in each image patch of the gallery. The computing system matches, via a convolutional autoencoder, tracks across galleries. The computing system measures, via a neural network, a similarity score for each matched track and associates two tracks based on the measured similarity.

公开(公告)号：US12293440B2

公开(公告)日：2025-05-06

申请号：US18422404

申请日：2024-01-25

Applicant: STATS LLC

Inventor： Patrick Joseph Lucey ,  Anthony Borsumato ,  Kevin Allinson ,  Christian Marko

IPC: G06T11/20 ,  G06V20/40

Abstract: A computing system receives data for a game. The data includes at least one of tracking data or event data. Based on the data for the game, the computing system determines that an event has occurred within the game. Based on the determining, the computing system generates a graphic responsive to the event. The graphic includes insights related to the event. The computing system recommends an image relevant to the event based on metatags associated with the event. The computing system generates a visual element by merging the image and the graphic.

公开(公告)号：US20250131721A1

公开(公告)日：2025-04-24

申请号：US19007711

申请日：2025-01-02

Applicant: STATS LLC

Inventor： Mihailo Stojancic ,  Warren Packard ,  Dennis Kanygin

IPC: G06V20/40 ,  G06F16/908 ,  G06T7/12 ,  G06V30/148 ,  G06V40/20 ,  H04N21/435 ,  H04N21/44 ,  H04N21/458 ,  H04N21/81 ,  H04N21/84

Abstract: One or more highlights of a video stream may be identified. The highlights may be segments of a video stream, such as a broadcast of a sporting event, that are of particular interest to one or more users. According to one method, at least a portion of the video stream may be stored. The portion of the video stream may be compared with templates of a template database to identify the one or more highlights. Each highlight may be a subset of the video stream that is deemed likely to match the one or more templates. The highlights, an identifier that identifies each of the highlights within the video stream, and/or metadata pertaining particularly to the one or more highlights may be stored to facilitate playback of the highlights for the users.

公开(公告)号：US20250069394A1

公开(公告)日：2025-02-27

申请号：US18945787

申请日：2024-11-13

Applicant: STATS LLC

Inventor： Sujoy Ganguly ,  Long Sha ,  Jennifer HOBBS ,  Xinyu Wei ,  Patrick Joseph Lucey

IPC: G06V20/40 ,  A63B24/00 ,  G06N3/08 ,  G06V10/82

Abstract: A system and method for generating a play prediction for a team is disclosed herein. A computing system retrieves trajectory data for a plurality of plays from a data store. The computing system generates a predictive model using a variational autoencoder and a neural network by generating one or more input data sets, learning, by the variational autoencoder, to generate a plurality of variants for each play of the plurality of plays, and learning, by the neural network, a team style corresponding to each play of the plurality of plays. The computing system receives trajectory data corresponding to a target play. The predictive model generates a likelihood of a target team executing the target play by determining a number of target variants that correspond to a target team identity of the target team.

公开(公告)号：US12175754B2

公开(公告)日：2024-12-24

申请号：US18154145

申请日：2023-01-13

Applicant: STATS LLC

Inventor： Sujoy Ganguly ,  Long Sha ,  Jennifer Hobbs ,  Xinyu Wei ,  Patrick Joseph Lucey

IPC: G06V20/40 ,  A63B24/00 ,  G06N3/08 ,  G06V10/82

Abstract: A system and method for generating a play prediction for a team is disclosed herein. A computing system retrieves trajectory data for a plurality of plays from a data store. The computing system generates a predictive model using a variational autoencoder and a neural network by generating one or more input data sets, learning, by the variational autoencoder, to generate a plurality of variants for each play of the plurality of plays, and learning, by the neural network, a team style corresponding to each play of the plurality of plays. The computing system receives trajectory data corresponding to a target play. The predictive model generates a likelihood of a target team executing the target play by determining a number of target variants that correspond to a target team identity of the target team.

公开(公告)号：US20240394639A1

公开(公告)日：2024-11-28

申请号：US18666409

申请日：2024-05-16

Applicant: Stats LLC

Inventor： Nils Sebastiaan Mackaij ,  Daniele Foroni ,  Yadir Lakehal ,  Robert Seidl ,  Patrick Joseph Lucey

IPC: G06Q10/0639 ,  G06F30/20 ,  G06Q30/0201

Abstract: Embodiments disclosed herein generally relate to a system and method for updating a set of strength-based ratings for a sporting event using market information. The present embodiments provide a data-driven approach leveraging market information to derive an updated team strength prior to an upcoming event. For example, a prediction model can internally determine an initial team strength measurement. The prediction model can also obtain futures market information and update the initial team strength measurement using the futures market information.

公开(公告)号：US12142043B2

公开(公告)日：2024-11-12

申请号：US18188926

申请日：2023-03-23

Applicant: STATS LLC

Inventor： Mihailo Stojancic ,  Warren Packard ,  Dennis Kanygin

IPC: G06T7/12 ,  G06F16/908 ,  G06V20/40 ,  G06V30/148 ,  G06V40/20 ,  H04N21/435 ,  H04N21/44 ,  H04N21/458 ,  H04N21/81 ,  H04N21/84

Abstract: Metadata for one or more highlights of a video stream may be extracted from one or more card images embedded in the video stream. The highlights may be segments of the video stream, such as a broadcast of a sporting event, that are of particular interest. According to one method, video frames of the video stream are stored. One or more information cards embedded in a decoded video frame may be detected by analyzing one or more predetermined video frame regions. Image segmentation, edge detection, and/or closed contour identification may then be performed on identified video frame region(s). Further processing may include obtaining a minimum rectangular perimeter area enclosing all remaining segments, which may then be further processed to determine precise boundaries of information card(s). The card image(s) may be analyzed to obtain metadata, which may be stored in association with at least one of the video frames.

公开(公告)号：US20240342552A1

公开(公告)日：2024-10-17

申请号：US18634321

申请日：2024-04-12

Applicant: Stats LLC

Inventor： Matthew Scott ,  Patrick Joseph Lucey ,  Joe Dominic Gallagher ,  Michael Stöckl ,  Felix Wei ,  Michael John Horton

IPC: A63B24/00 ,  A63B71/06 ,  G06V20/40

CPC classification number: A63B24/0021 ,  A63B71/0616 ,  G06V20/42 ,  G06V20/44 ,  A63B2024/0025 ,  A63B2024/0056 ,  A63B2024/0065 ,  A63B2220/05 ,  A63B2220/806

Abstract: The present embodiments relate to tracking player movements from a video broadcast and determining a defensive influence score from the tracked movements of the player. The present embodiments can implement one or more models to generate a defensive influence score that quantifies a defensive intensity of a player during the course of a game. The defensive influence score can include a frame-by-frame machine learning prediction that can be used to estimate the defensive pressure a player is having on another player during the course of the game. Additionally, the present embodiments can capture and estimate fitness metrics, such as sprints and efforts around detected plays such as pick-and-rolls and off-ball screens, which can be good proxies for player effort. Further, event detection outputs (both offensive and defensive metrics), can be used as features to estimate fitness metrics for the player (e.g., player load, sprints, jogs, etc.).

公开(公告)号：US20240296358A1

公开(公告)日：2024-09-05

申请号：US18593110

申请日：2024-03-01

Applicant: STATS LLC

Inventor： Lucas Haupt ,  Evan Boyd ,  Matthew Scott ,  Patrick Joseph LUCEY

IPC: G06N7/01

CPC classification number: G06N7/01

Abstract: A method for generating coupled play, drive, and game outcome predictions for a sporting event, the method including: inputting features for a sporting event into an initial model, the input features including historical game data and in-game data; determining a predicted outcome for at least one upcoming play with the initial model; determining, using the input features and predicted outcome, a predicted probability of each team winning the sporting event; and determining a probability of success for an action in the at least one upcoming play of the sporting event.

公开(公告)号：US20240221178A1

公开(公告)日：2024-07-04

申请号：US18421539

申请日：2024-01-24

Applicant: STATS LLC

Inventor： Harry HUGHES ,  Michael John HORTON ,  Felix WEI ,  Patrick LUCEY

IPC: G06T7/20 ,  G06T7/70 ,  G06V20/40

CPC classification number: G06T7/20 ,  G06T7/70 ,  G06V20/44 ,  G06T2207/30241

Abstract: A method for tracking one or more individuals during a sporting event, the method including: receiving, as an input, a geospatial data of a sporting event; receiving, as an input, labeled event data of the sporting event; performing multi-object tracking of one or more agents of the geospatial data to determine one or more vectors; inputting the labeled event data and one or more vectors into a diffusion model; and determining, using the diffusion model, one or more trajectory sequences for the one or more agents.