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1. 发明申请

WO2023069851A1 SYSTEM AND METHOD FOR GENERATING DAILY-UPDATED RATING OF INDIVIDUAL PLAYER PERFORMANCE IN SPORTS 审中-公开
公开(公告)号：WO2023069851A1
公开(公告)日：2023-04-27
申请号：PCT/US2022/077963
申请日：2022-10-12
申请人： STATS LLC
发明人： WALKER, Nathan
IPC分类号： A63F13/798 , A63B71/06 , A63B24/00 , A63F13/828 , G07F17/32
摘要： A computing system identifies a target player. The computing system generates rookie priors for the target player based on characteristics of the target player. The computing system generates time series data points for the player based on at least one of the rookie priors and historical statistics of the target player. The computing system projects a game position of the target player based on the historical statistics of the target player. The computing system projects next game projections for the target player based on at least one of the rookie priors, the time series data points, the game position, and the historical statistics of the target player. The computing system generates a contribution of the target player to a team's production based on the next game projections.

2. 发明申请

WO2023049843A1 INTERACTIVE GAMING IN SPORTS 审中-公开
公开(公告)号：WO2023049843A1
公开(公告)日：2023-03-30
申请号：PCT/US2022/076934
申请日：2022-09-23
申请人： STATS LLC
发明人： DINSDALE, Daniel, Richard , SCHOBER, Christian , GRIMM, David , DICKINSON, John , SKWERES, Andrew , MARKO, Christian , LUCEY, Patrick, Joseph , REDGATE, Hayley
IPC分类号： G06Q50/34 , G06Q10/04 , G06V20/40 , A63F13/65 , G07F17/32
摘要： A computing system generates an interactive game space for predicting an outcome of an event during a live game. The computing system identifies a prediction event in the live game. The computing system receives event data for the live game up to the prediction event. The computing system identifies pre-game player specific data for each player involved in the prediction event. The computing system generates a probability distribution for a set of possible outcomes for the prediction event based on the event data and the pre-game player specific data. The computing system presents the probability distribution to a user participating in the interactive game space. The computing system receives a proposed outcome for the prediction event from the user participating in the interactive game space. The computing system determines that the proposed outcome was correct. The computing system grants points to the user within the interactive game space.

3. 发明申请

WO2023039527A1 BODY POSE TRACKING OF PLAYERS FROM SPORTS BROADCAST VIDEO FEED 审中-公开
公开(公告)号：WO2023039527A1
公开(公告)日：2023-03-16
申请号：PCT/US2022/076206
申请日：2022-09-09
申请人： STATS LLC
发明人： PEMASIRI, Akila , LUCEY, Patrick, Joseph
IPC分类号： G06V20/40 , G06V40/10 , G06V10/22
摘要： Examples disclosed herein may generate a refined and denoised body pose data from a video feed of a sporting event. Tracking data containing player locations may be used to determine correspondence between a location and a body pose. For example, body pose with middle of key footpoints with shortest distance from the location may be selected as a likely body pose for the location. The body pose data may be refined to estimate the length of missing limbs or limbs with unusual length ratios. The body pose data may further be filtered to filter out unwanted body poses such as body poses of spectators or noisy body poses. The refined and filtered body pose data may be used for other downstream processing such as projecting the body poses to a three dimensional play surface.

4. 发明申请

WO2023023333A2 METHODS AND SYSTEMS FOR UTILIZING LIVE EMBEDDED TRACKING DATA WITHIN A LIVE SPORTS VIDEO STREAM 审中-公开
公开(公告)号：WO2023023333A2
公开(公告)日：2023-02-23
申请号：PCT/US2022/040899
申请日：2022-08-19
申请人： STATS LLC
发明人： PEDAGADI, Sateesh , KUEHNEL, Johannes , GRIFFITHS, Bradford , MARKO, Christian , REINERS, Raphael , OREFICE, Brian , LUCEY, Patrick, Joseph
IPC分类号： G06V20/40 , G06F3/01 , A63F13/60 , A63F13/812 , G06N3/02 , G06T1/20 , H04N21/2187 , H04N21/23418 , H04N21/23614 , H04N21/43074 , H04N21/4312 , H04N21/4348 , H04N21/4884 , H04N21/8133
摘要： A computing system receives a video stream of a game. The computing system generates tracking data corresponding to the video stream using one or more artificial intelligence models. The computing system generates interactive video data by combining the video stream of the game with the tracking data. The computing system causes a media player to render graphics corresponding to the tracking data over the video stream by sending the interactive video data to a client device executing the media player.

5. 发明申请

WO2021158771A1 GENERATING ROLES IN SPORTS THROUGH UNSUPERVISED LEARNING 审中-公开
公开(公告)号：WO2021158771A1
公开(公告)日：2021-08-12
申请号：PCT/US2021/016583
申请日：2021-02-04
申请人： STATS LLC
发明人： POWER, Paul, David , GURPINAR-MORGAN, William, Thomas , DINSDALE, Daniel, Richard , GALLAGHER, Joe, Dominic , MACKAIJ, Nils, Sebastiaan
IPC分类号： G06N20/00 , G06F17/18
摘要： A system and method for generating a role summary associated with one or more players are disclosed herein. A computing system retrieves event information for a plurality of teams for a plurality of events. The computing system generates a spatial output that describes each player. The computing system identifies a playing style associated with each team. The computing system identifies a subset of paths a player or team takes between two zones. The computing system identifies each player's involvement in a team's process. The computing system generates a score corresponding to a value of a player's involvement in a given play based on the event information. The computing system generates a score associated with each player's passing ability based on the event information. The computing system determines a shot style of each player based on the event information. The computing system identifies a role associated with each player.

6. 发明申请

WO2020176873A1 SYSTEM AND METHOD FOR GENERATING TRACKABLE VIDEO FRAMES FROM BROADCAST VIDEO 审中-公开
公开(公告)号：WO2020176873A1
公开(公告)日：2020-09-03
申请号：PCT/US2020/020444
申请日：2020-02-28
申请人： STATS LLC
发明人： SHA, Long , GANGULY, Sujoy , WEI, Xinyu , LUCEY, Patrick, Joseph , CHERUKUMUDI, Aditya
IPC分类号： H04N21/845 , H04N21/234 , G06K9/62
摘要： 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.

7. 发明申请

WO2020176872A1 SYSTEM AND METHOD FOR GENERATING PLAYER TRACKING DATA FROM BROADCAST VIDEO 审中-公开
公开(公告)号：WO2020176872A1
公开(公告)日：2020-09-03
申请号：PCT/US2020/020442
申请日：2020-02-28
申请人： STATS LLC
发明人： SHA, Long , GANGULY, Sujoy , WEI, Xinyu , LUCEY, Patrick Joseph , CHERUKUMUDI, Aditya
IPC分类号： G06T7/20 , G06K9/00 , G06N3/04
摘要： 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.

8. 发明申请

WO2019144143A1 METHOD AND SYSTEM FOR INTERACTIVE, INTERPRETABLE, AND IMPROVED MATCH AND PLAYER PERFORMANCE PREDICTIONS IN TEAM SPORTS 审中-公开
公开(公告)号：WO2019144143A1
公开(公告)日：2019-07-25
申请号：PCT/US2019/014609
申请日：2019-01-22
申请人： STATS LLC
发明人： RUIZ, Hector , GANGULY, Sujoy , FRANK, Nathan , LUCEY, Patrick
IPC分类号： A63F13/812 , A63F13/65 , G06N3/08 , G06N7/00
摘要： A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent- specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

9. 发明申请

WO2017106390A1 SYSTEM FOR INTERACTIVE SPORTS ANALYTICS USING MULTI-TEMPLATE ALIGNMENT AND DISCRIMINATIVE CLUSTERING 审中-公开
标题翻译：使用多模板对齐和分类聚类的交互式体育分析系统
公开(公告)号：WO2017106390A1
公开(公告)日：2017-06-22
申请号：PCT/US2016/066733
申请日：2016-12-14
申请人： STATS LLC , LUCEY, Patrick , SHA, Long , WEI, Xinyu
发明人： LUCEY, Patrick , SHA, Long , WEI, Xinyu
IPC分类号： G06F17/00 , G06F17/10 , G06F17/18 , G06T7/00 , G06T7/20
CPC分类号： A63F13/35 , A63F13/216 , A63F13/25 , A63F13/65 , A63F13/812 , G06F17/3082 , G06N7/005 , G06N99/005
摘要： A system is described for interactively analyzing plays of a sporting event based on real- world positional tracking data. Using positional information regarding the players and/or ball and/or other objects obtained from a tracking system, along with identified event data and contextual information, the system processes a library of plays (e.g., one or more seasons' worth of a league's contests) into a searchable database of plays using multiple alignment templates and discriminative clustering techniques. A user interface is described for interacting with the database in a graphical manner, whereby users can query a graphical depiction of a play and receive the most similar plays from the library, along with statistical information relating to the plays. The user interface further permits the user to modify the query graphically (e.g., moving or exchanging players, ball trajectories, etc.) and obtain updated statistical information for comparison.
摘要翻译：描述了一种用于基于真实世界的位置跟踪数据交互式地分析体育赛事的比赛的系统。使用关于从追踪系统获得的球员和/或球和/或其他对象的位置信息，连同所识别的事件数据和上下文信息，系统处理比赛库（例如，一个或多个赛季的联赛比赛价值）转换为使用多个比对模板和区分聚类技术的可搜索的比赛数据库。描述了用于以图形方式与数据库交互的用户界面，由此用户可以查询游戏的图形描述并从游戏库接收最相似的游戏以及与游戏有关的统计信息。用户界面还允许用户以图形方式修改查询（例如，移动或交换玩家，球轨迹等）并获得更新的统计信息以供比较。

10. 发明申请

WO2023077008A1 SPORTS NEURAL NETWORK CODEC 审中-公开
公开(公告)号：WO2023077008A1
公开(公告)日：2023-05-04
申请号：PCT/US2022/078794
申请日：2022-10-27
申请人： STATS LLC
发明人： COLAMATTEO, Valerio , EVI-PARKER, Christopher , PADAGADI, Sateesh , LUCEY, Patrick Joseph
IPC分类号： G06T7/246 , G06V20/40 , G06T7/292 , G06N3/04
摘要： A computing system receives a broadcast video stream of a game. A codec module of the computing system extracts image level features from the broadcast video stream. The codec module includes an object detection portion configured to detect players in the broadcast video stream and a subnet portion attached to the object detection portion. The subnet portion is configured to identify foreground information of the detected players. The codec module provides the image level features to a plurality of task specific modules for analysis. The plurality of task specific modules generates a plurality of outputs based on the image level features.

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