发明公开
- 专利标题: System and Method for Predicting Fine-Grained Adversarial Multi-Agent Motion
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申请号: US18313050申请日: 2023-05-05
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公开(公告)号: US20230274159A1公开(公告)日: 2023-08-31
- 发明人: Panna Felsen , Sujoy Ganguly , Patrick Lucey
- 申请人: STATS LLC
- 申请人地址: US IL Chicago
- 专利权人: STATS LLC
- 当前专利权人: STATS LLC
- 当前专利权人地址: US IL Chicago
- 主分类号: G06N5/02
- IPC分类号: G06N5/02 ; G06N5/04 ; G06N20/00
摘要:
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.
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