LEARNING APPARATUS, ESTIMATION APPARATUS, LEARNING METHOD, AND NON-TRANSITORY STORAGE MEDIUM

    公开(公告)号:US20240428667A1

    公开(公告)日:2024-12-26

    申请号:US18809478

    申请日:2024-08-20

    Abstract: The present invention provides a learning apparatus (10) including: an acquisition unit (11) that acquires an image; a similarity computation unit (12) that computes a similarity between the acquired image, and a first image being accumulated in advance and indicating an abnormal state; a registration unit (13) that registers, as a second image indicating a normal state, the acquired image whose similarity is equal to or less than a first reference value; and a learning unit (14) that generates an estimation model for discriminating between normal and abnormal by machine learning using the first image and the second image.

    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM

    公开(公告)号:US20220245850A1

    公开(公告)日:2022-08-04

    申请号:US17617431

    申请日:2019-06-13

    Abstract: The present invention provides a processing apparatus (20) including a first generation unit (22) that generates, from a plurality of time-series images, three-dimensional feature information indicating a time change of a feature in each position in each of the plurality of images, a second generation unit (23) that generates person position information indicating a position in which a person is present in each of the plurality of images, and an estimation unit (24) that estimates person behavior indicated by the plurality of images, based on the time change of the feature indicated by the three-dimensional feature information in the position in which the person is present being indicated by the person position information.

    PROCESSING APPARATUS, PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM

    公开(公告)号:US20220084312A1

    公开(公告)日:2022-03-17

    申请号:US17424809

    申请日:2019-01-25

    Abstract: A processing apparatus (10) including: an event extraction unit (11) that extracts, for each image of a time-series image group, an event in which a person and an object relate to each other; an event information generation unit (12) that generates event information indicating a time-series change of a first event defined by a first person, a first object, and a first relationship between a person and an object and also indicating a time-series change of a second event defined by a second person, a second object, and a second relationship between a person and an object; a causal relationship computation unit (13) that computes a score indicating a causal relationship between the first event and the second event; and an output unit (14) that outputs information indicating the first event and the second event for which the score satisfies a predetermined condition.

    PROCESSING APPARATUS, PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM

    公开(公告)号:US20210127056A1

    公开(公告)日:2021-04-29

    申请号:US16965340

    申请日:2018-10-18

    Abstract: Provided is a processing apparatus (10) including a person detection unit (11) that detects a person from an image generated by a camera that photographs a target area, a computation unit (12) that analyzes the image and computes, for each person, a stay time in the target area and a degree of bias of an appearance position in the target area, and a target person extraction unit (13) that extracts a target person who is a person for whom a computation result by the computation unit (12) satisfies a predetermined condition.

    ANALYSIS APPARATUS, ANALYSIS METHOD, AND STORAGE MEDIUMSTORAGE MEDIUM

    公开(公告)号:US20210082103A1

    公开(公告)日:2021-03-18

    申请号:US17095460

    申请日:2020-11-11

    Abstract: The analysis apparatus (2000) includes a co-appearance event extraction unit (2020) and a frequent event detection unit (2040). The co-appearance event extraction unit (2020) extracts co-appearance events of two or more persons from each of a plurality of sub video frame sequences. The sub video frame sequence is included in a video frame sequence. The analysis apparatus (2000) may obtain the plurality of sub video frame sequences from one or more of the video frame sequences. The one or more of the video frame sequences may be generated by one or more of surveillance cameras. Each of the sub video frame sequences has a predetermined time length. The frequent event detection unit (2040) detects co-appearance events of the same persons occurring at a frequency higher than or equal to a pre-determined frequency threshold.

    SEARCH SYSTEM, OPERATION METHOD OF TERMINAL APPARATUS, AND PROGRAM

    公开(公告)号:US20200372070A1

    公开(公告)日:2020-11-26

    申请号:US16767953

    申请日:2018-10-18

    Inventor: Jianquan LIU

    Abstract: A server (20) stores person information in which a feature of an appearance and a feature of a motion of a person extracted from a video are associated with each other, searches for the person information using input information received from a terminal apparatus (10) as a key, and returns a search result to the terminal apparatus (10). The terminal apparatus (10) acquires and stores a part or a whole of the person information stored in the server (20) from the server (20), performs a search using the input information as a key, and displays the search result on a display as a candidate of information to be input in an input field.

    ABNORMALITY DETECTION APPARATUS, CONTROL METHOD, AND PROGRAM

    公开(公告)号:US20200184483A1

    公开(公告)日:2020-06-11

    申请号:US16342298

    申请日:2017-07-27

    Abstract: An acquisition unit (2020) acquires a combination of person information and transaction information for a first transaction. The person information is information representing a person who executes a transaction. The transaction information is various kinds of information regarding the transaction. A storage device (10) stores transaction information of each transaction. Using the person information of the first transaction acquired by the acquisition unit (2020), a detection unit (2040) acquires transaction information of a transaction (second transaction), which is executed by a person having a high degree of similarity with a person who executes the first transaction, from the storage device (10). The detection unit (2040) detects an abnormal transaction using the transaction information of the first transaction and the transaction information of the second transaction.

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