Invention Grant
- Patent Title: Methods and systems for facial recognition using motion vector trained model
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Application No.: US16712579Application Date: 2019-12-12
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Publication No.: US11275928B2Publication Date: 2022-03-15
- Inventor: Reza Rassool
- Applicant: REALNETWORKS, INC.
- Applicant Address: US WA Seattle
- Assignee: REALNETWORKS, INC.
- Current Assignee: REALNETWORKS, INC.
- Current Assignee Address: US WA Seattle
- Agency: Seed IP Law Group LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F21/32 ; G06K9/62 ; G06K9/66 ; G06N3/04 ; G06N3/08

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.
Public/Granted literature
- US20210182539A1 METHODS AND SYSTEMS FOR FACIAL RECOGNITION USING MOTION VECTOR TRAINED MODEL Public/Granted day:2021-06-17
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