Methods and systems for facial recognition using motion vector trained model
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United States of America
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Mar 15, 2022
Grant Date -
Jun 17, 2021
app pub date -
Dec 12, 2019
filing date -
Dec 12, 2019
priority date (Note) -
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Abstract
Systems and methods are provided for determining a candidate identity of a person in video data based on a biometric motion signature corresponding to motion of a face of the person in the video data. Motion information is obtained corresponding to motion of the face in the video data. The motion information is provided as input to a neural network and the neural network generates the biometric motion signature in response. The biometric motion signature is compared with a plurality of biometric signatures stored in data storage. The candidate identity of the person is determined as a result of a correspondence between the biometric motion signature and a stored biometric signature of the plurality of biometric signatures.
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