COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

    公开(公告)号:US20250131767A1

    公开(公告)日:2025-04-24

    申请号:US19000740

    申请日:2024-12-24

    Abstract: A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute processing includes acquiring a first face image, specifying a first state of elements of an imaging condition from the first face image, generating a second state of the elements of the imaging condition changed such that the first state is improved, inputting the second state to a machine learning model for each of action units (AUs) that represent movements of facial expression muscles, with states of the elements of the imaging condition as features and errors in estimated values with respect to ground truth values of intensities of the AUs as ground truth data, to estimate prediction errors for each of the Aus, determining whether or not predetermined criteria are satisfied by all of the prediction errors, and specifying the elements of the imaging condition suitable to be improved on the first face image.

    COMPUTER-READABLE RECORDING MEDIUM STORING TRAINING PROGRAM AND IDENTIFICATION PROGRAM, AND TRAINING METHOD

    公开(公告)号:US20240037986A1

    公开(公告)日:2024-02-01

    申请号:US18308179

    申请日:2023-04-27

    Abstract: A recording medium stores a program for causing a computer to execute processing including: acquiring images; classifying the images, based on a combination of whether an action unit related to a motion of a portion occurs and whether occlusion is included in an image in which the action unit occurs; calculating a feature amount of the image by inputting each classified image into a model; and training the model so as to decrease a first distance between feature amounts of an image in which the action unit occurs and an image with an occlusion with respect to the image in which the action unit occurs and to increase a second distance between feature amounts of the image with the occlusion with respect to the image in which the action unit occurs and an image with an occlusion with respect to an image in which the action unit does not occur.

    DETECTION OF ANOMALOUS BEHAVIOR
    4.
    发明申请

    公开(公告)号:US20250037433A1

    公开(公告)日:2025-01-30

    申请号:US18433381

    申请日:2024-02-05

    Abstract: Operations include extracting a depiction of a person and associated movement of the person from a first video clip of a first training video included in a first domain dataset. The operations further include superimposing the depiction of the person and corresponding movement into a second video clip of a second training video included in a second domain dataset to generate a third video clip. The operations also include annotating the third video clip to indicate that the movement of the person corresponds to a particular type of behavior, the annotating being based on the first video clip also being annotated to indicate that the movement of the person corresponds to the particular type of behavior. Moreover, the operations include training a machine learning model to identify the particular type of behavior using the second training video having the annotated third video clip included therewith.

    METHOD OF MACHINE LEARNING AND FACIAL EXPRESSION RECOGNITION APPARATUS

    公开(公告)号:US20220415085A1

    公开(公告)日:2022-12-29

    申请号:US17718344

    申请日:2022-04-12

    Abstract: A non-transitory computer-readable recording medium stores a program that causes a computer to execute a process, the process includes inputting each of first images that includes a face of a subject to a first machine learning model to obtain a recognition result that includes information indicating first occurrence probability of each of facial expressions in each first image, generating training data that includes the recognition result and second images that are respectively generated based on the first images and in which at least a part of the face of the subject is concealed, and performing training of a second machine learning model, based on the training data, by using a loss function that represents an error that relates to a second occurrence probability of each facial expression in each second image and relates to magnitude relationship in the second occurrence probability among the second images.

    IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS

    公开(公告)号:US20210248357A1

    公开(公告)日:2021-08-12

    申请号:US17157602

    申请日:2021-01-25

    Abstract: An image processing method executed by a computer, the method includes detecting a plurality of feature points of a face from an input image, referring to importance information that indicates an importance of a region within an image in a process of detecting a predetermined facial motion from the image, selecting, from the plurality of feature points detected by the detecting, one or more points that correspond to an image region including an importance indicated by the importance information equal to or smaller than a first threshold value, correcting the input image by using the one or more points selected by the selecting, to generate a corrected image; and determining whether or not the predetermined facial motion is occurring in the input image, based on an output obtained by inputting the corrected image to a recognition model.

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