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1.
公开(公告)号:US20240212354A1
公开(公告)日:2024-06-27
申请号:US18489930
申请日:2023-10-19
Applicant: Fujitsu Limited
Inventor: Natsuki MIYAHARA , Ryosuke KAWAMURA
CPC classification number: G06V20/52 , G06T7/20 , G06T7/70 , G06V10/25 , G06V10/764 , G06V40/20 , G06T2207/30196 , G06V2201/07
Abstract: A non-transitory computer-readable recording medium stores an alert output program for causing a computer to execute a process including: acquiring a video of an inside of a store where products are arranged; specifying, from the acquired video, a first region that includes the products, a second region that includes a person of interest who is to purchase the products, and a relationship in which an interaction between the products and the person is identified, by analyzing the video; determining, when the relationship satisfies a predetermined condition, whether or not a motion carried out with respect to the products included in the first region by the person included in the second region has an anomaly, based on the relationship; and outputting an alert that indicates that a person who makes an anomalous motion with respect to the products has appeared, when the motion is determined to have the anomaly.
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公开(公告)号:US20250131767A1
公开(公告)日:2025-04-24
申请号:US19000740
申请日:2024-12-24
Applicant: FUJITSU LIMITED
Inventor: Junya SAITO , Ryosuke KAWAMURA , Sachihiro YOUOKU , Akiyoshi UCHIDA , Xiaoyu MI , Kentaro MURASE
IPC: G06V40/16
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.
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3.
公开(公告)号:US20240037986A1
公开(公告)日:2024-02-01
申请号:US18308179
申请日:2023-04-27
Applicant: Fujitsu Limited
Inventor: Ryosuke KAWAMURA , Kentaro MURASE
IPC: G06V40/16 , G06V10/774 , G06V10/26
CPC classification number: G06V40/176 , G06V40/172 , G06V40/168 , G06V10/774 , G06V10/26
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.
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公开(公告)号:US20250037433A1
公开(公告)日:2025-01-30
申请号:US18433381
申请日:2024-02-05
Applicant: Fujitsu Limited
Inventor: Pradeep NARWADE , Ryosuke KAWAMURA , Gaurav GAJBHIYE , Koichiro NIINUMA
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.
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公开(公告)号:US20220415085A1
公开(公告)日:2022-12-29
申请号:US17718344
申请日:2022-04-12
Applicant: FUJITSU LIMITED
Inventor: Ryosuke KAWAMURA , Kentaro MURASE
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.
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公开(公告)号:US20240153248A1
公开(公告)日:2024-05-09
申请号:US18228679
申请日:2023-08-01
Applicant: Fujitsu Limited , OSAKA UNIVERSITY
Inventor: Ryosuke KAWAMURA , Noriko IKEMOTO TAKEMURA , Hajime NAGAHARA
IPC: G06V10/774 , G06V10/10 , G06V10/74 , G06V10/764 , G06V40/16
CPC classification number: G06V10/774 , G06V10/16 , G06V10/761 , G06V10/764 , G06V40/176 , G06V10/82
Abstract: A storage unit stores therein first inference results respectively corresponding to a plurality of face images, which are output from a first model of outputting a first inference result in response to an input of a face image. A processing unit selects, from the plurality of face images, first and second face images whose distance calculated based their first inference results exceeds a threshold. The processing unit performs machine learning to train a second model of outputting a second inference result in response to an input of a face image, using a third face image obtained by combining the first and second face images.
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公开(公告)号:US20210248357A1
公开(公告)日:2021-08-12
申请号:US17157602
申请日:2021-01-25
Applicant: FUJITSU LIMITED
Inventor: Ryosuke KAWAMURA , Kentaro MURASE
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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8.
公开(公告)号:US20190320139A1
公开(公告)日:2019-10-17
申请号:US16293482
申请日:2019-03-05
Applicant: FUJITSU LIMITED
Inventor: Yuushi TOYODA , Koichiro NIINUMA , Ryosuke KAWAMURA
IPC: H04N7/15
Abstract: A recording medium on which a user assistance program is recorded which makes a computer perform: based on image information obtained by photographing a plurality of users who use a given service, calculating state quantities of the plurality of respective users corresponding to the image information; counting, for each time period, a number of users whose amounts of change in the calculated respective state quantities are equal to or more than a given threshold value among the plurality of users; and detecting a time period in which the counted number of users satisfies a given condition.
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