Patents Assigned to STATS LLC
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Publication number: 20200279114Abstract: 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.Type: ApplicationFiled: February 28, 2020Publication date: September 3, 2020Applicant: STATS LLCInventors: Long Sha, Sujoy Ganguly, Xinyu Wei, Patrick Joseph Lucey, Aditya Cherukumudi
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Publication number: 20200279160Abstract: A method of generating a multi-modal prediction is disclosed herein. A computing system retrieves event data from a data store. The event data includes information for a plurality of events across a plurality of seasons. Computing system generates a predictive model using a mixture density network, by generating an input vector from the event data learning, by the mixture density network, a plurality of values associated with a next play following each play in the event data. The mixture density network is trained to output the plurality of values near simultaneously. Computing system receives a set of event data directed to an event in a match. The set of event data includes information directed to at least playing surface position and current score. Computing system generates, via the predictive model, a plurality of values associated with a next event following the event based on the set of event data.Type: ApplicationFiled: February 28, 2020Publication date: September 3, 2020Applicant: STATS LLCInventors: Matthew Holbrook, Jennifer Hobbs, Patrick Joseph Lucey
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Publication number: 20200279131Abstract: 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.Type: ApplicationFiled: February 28, 2020Publication date: September 3, 2020Applicant: STATS LLCInventors: Long Sha, Sujoy Ganguly, Xinyu Wei, Patrick Joseph Lucey, Aditya Cherukumudi
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Patent number: 10657206Abstract: The present invention is a system and method for generating narrative text utilizing data input from one or more data sources to drive the creation of a narrative text output. Narrative text is generated in accordance with sets of data that provide the scope of text to be generated. A narrative text editor permits automatic generation of narrative text automatically using pre-defined scope for the generated text, or under the guidance of scope input by a user. Generated text retains links to the origin structure and scope used in creation of the narrative text permitting quick troubleshooting of issues in the narrative text generation and rapid review and updating under the guidance of established rule sets or system users.Type: GrantFiled: March 11, 2015Date of Patent: May 19, 2020Assignee: STATS LLCInventors: Adam Long, Robert Allen, Ren Bauer, Robert C. Rogers, Anne Johnson, Joe Procopio
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Publication number: 20190228306Abstract: A method of identifying a defensive alignment and an offensive alignment in a set-piece is disclosed herein. A computing system receives one or more streams of tracking data. The computing system identifies a set-piece contained in the one or more streams of tracking data. The computing system identifies a defensive alignment of a first team and an offensive alignment of a second team. The computing system extracts, via a convolutional neural network, one or more features corresponding to a type of defensive alignment implemented by the first team by passing the set-piece through the convolutional neural network. The computing system scans the set-piece, via a machine learning algorithm, to identify one or more features indicative of a type of offensive alignment implemented by the second team. The computing system infers the type of defensive alignment implemented by the first team.Type: ApplicationFiled: January 22, 2019Publication date: July 25, 2019Applicant: STATS LLCInventors: Paul Power, Jennifer Hobbs, Patrick Lucey
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Publication number: 20190224556Abstract: 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.Type: ApplicationFiled: January 22, 2019Publication date: July 25, 2019Applicant: STATS LLCInventors: Hector Ruiz, Sujoy Ganguly, Nathan Frank, Patrick Lucey
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Publication number: 20190228316Abstract: A system and method for predicting multi-agent locations is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a conditional variational autoencoder. The conditional variational autoencoder learns one or more paths a subset of agents of the plurality of agents are likely to take. The computing system receives tracking data from a tracking system positioned remotely in a venue hosting a candidate sporting event. The computing system identifies one or more candidate agents for which to predict locations. The computing system infers, via the predictive model, one or more locations of the one or more candidate agents. The computing system generates a graphical representation of the one or more locations of the one or more candidate agents.Type: ApplicationFiled: January 22, 2019Publication date: July 25, 2019Applicant: STATS LLC.Inventors: Panna Felsen, Sujoy Ganguly, Patrick Lucey
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Publication number: 20190228290Abstract: 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.Type: ApplicationFiled: January 22, 2019Publication date: July 25, 2019Applicant: STATS LLCInventors: Hector Ruiz, Sujoy Ganguly, Nathan Frank, Patrick Lucey
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Patent number: 10204300Abstract: 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.Type: GrantFiled: June 19, 2017Date of Patent: February 12, 2019Assignee: STATS LLCInventors: Patrick Lucey, Long Sha, Xinyu Wei
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System for interactive sports analytics using multi-template alignment and discriminative clustering
Patent number: 10201752Abstract: 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.Type: GrantFiled: December 14, 2016Date of Patent: February 12, 2019Assignee: STATS LLCInventors: Patrick Lucey, Long Sha, Xinyu Wei -
Publication number: 20180218243Abstract: A system is described for analyzing plays of a sporting event based on body-pose information in conjunction with real-world positional tracking data. The system permits segmentation of sporting event plays into discrete time periods and the labeling of appropriate body-pose characteristics for each period. The system allows for comparison and fine-grained analysis of plays with respect to either a series of body-pose vertices that exist in continuous space (i.e., skeleton) or map directly to attributes, using the positional tracking data and play information to account for contextual differences. To enable analysis for the former, the system performs a projection to 3D space, followed by a spatiotemporal alignment step. Through the system, the importance of particular body-pose motions or specific attributes to the success of particular sporting event plays is quantified.Type: ApplicationFiled: January 31, 2018Publication date: August 2, 2018Applicant: STATS LLCInventors: Panna FELSEN, Patrick LUCEY
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Publication number: 20180032858Abstract: 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.Type: ApplicationFiled: June 19, 2017Publication date: February 1, 2018Applicant: STATS LLCInventors: Patrick Lucey, Long SHA, Xinyu WEI
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Publication number: 20110032361Abstract: It is provided a system for embedment within a sport playing object, a ball for example. The system is associated with continuous determination of a state of the object, its location and pose. The system includes an inertial navigation system (INS) module first state module adapted for measuring parameters associated with the object state, a wireless transmitter, a battery for providing electric power, and a mounting module connecting the object with the first state module, the wireless transmitter and the battery. Independent data relating to the object state is provided by a second state module, a camera system for example. The object state is calculated in accordance with the parameters measured by the first state module and in accordance with the independent provided data. The camera system capturing the object includes at least two mutually displaced camera clusters, and each camera cluster includes one or more cameras for providing a predetermined spatial resolution.Type: ApplicationFiled: July 26, 2010Publication date: February 10, 2011Applicant: STATS LLCInventors: Michael Tamir, Gal Oz