APPARATUS AND METHODS FOR SPOOFING DETECTION USING MACHINE LEARNING PROCESSES

    公开(公告)号:US20230206698A1

    公开(公告)日:2023-06-29

    申请号:US17561309

    申请日:2021-12-23

    CPC classification number: G06V40/40 G06V40/16 G06V10/82

    Abstract: Methods, systems, and apparatuses are provided to automatically determine whether an image is spoofed. For example, a computing device may obtain an image, and may execute a trained convolutional neural network to ingest elements of the image. Further, and based on the ingested elements of the image, the executed trained convolutional neural network generates an output map that includes a plurality of intensity values. In some examples, the trained convolutional neural network includes a plurality of down sampling layers, a plurality of up sampling layers, and a plurality of joint spatial and channel attention layers. Further, the computing device may determine whether the image is spoofed based on the plurality of intensity values. The computing device may also generate output data based on the determination of whether the image is spoofed, and may store the output data within a data repository.

    VIDEO-BASED ACTIVITY RECOGNITION
    3.
    发明申请

    公开(公告)号:US20220076039A1

    公开(公告)日:2022-03-10

    申请号:US17185800

    申请日:2021-02-25

    Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include extracting, using a first machine learning model, first one or more features from a first frame and second one or more features from a second frame. The first one or more features and the second one or more features are associated with a person driving a vehicle. The process can include processing, using a second machine learning model, the first one or more features and the second one or more features. The process can include determining, based on processing of the first one or more features and the second one or more features using the second machine learning model, at least one activity associated with the person driving the vehicle.

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