Inferring intent using computer vision
AssigneePony AI Inc.
InventorsKevin Sheu, Jie Mao
Life of this patent
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Abstract
A system trains a model to infer an intent of an entity. The model includes one or more sensors to obtain frames of data, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to perform steps. A first step includes determining, in each frame of the frames, one or more bounding regions, each of the bounding regions enclosing an entity. A second step includes identifying a common entity, the common entity being present in bounding regions corresponding to a plurality of the frames. A third step includes associating the common entity across the frames. A fourth step includes training a model to infer an intent of the common entity based on data outside of the bounding regions.
Claims20
A system configured to train a model to infer an intent of an entity, comprising:
- one or more sensors configured to obtain frames of data;
- one or more processors;
- and:
- a memory storing instructions that, when executed by the one or more processors, cause the system to perform:
- determining, in each frame of the frames, one or more bounding regions, each of the bounding regions enclosing an entity;
- across the frames, identifying a common entity, the common entity being present in bounding regions corresponding to a plurality of the frames;
- associating the common entity across the frames;
- training a model to infer an intent associated with the common entity based on data outside of the bounding regions.
A system configured to infer an intent of an entity, comprising:
- one or more sensors configured to obtain frames of data;
- one or more processors;
- and
- a memory storing instructions that, when executed by the one or more processors, cause the system to perform:
- determining, in each frame of the frames, one or more bounding regions, each of the bounding regions enclosing an entity;
- across the frames, identifying a common entity, the common entity being present in bounding regions corresponding to a plurality of the frames;
- associating the common entity across the frames;
- inferring, using a trained model, an intent associated with the common entity based on data outside of the bounding regions.
Dependencies are inferred from the claim text.