IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD

    公开(公告)号:US20250005073A1

    公开(公告)日:2025-01-02

    申请号:US18780753

    申请日:2024-07-23

    Abstract: A query acquisition unit (109) acquires a first query moving image having a plurality of time-series first frame images and at least one second query moving image having a plurality of time-series second frame images. A feature value computing unit (103) computes a feature value of a keypoint detected from an object being included in each of the first frame images and the second frame images. A correspondence relationship determination unit (114) determines a second frame image associated with each of the plurality of first frame images. An integration unit (113) performs, for a plurality of combinations of the first frame image and the second frame image associated with each other, processing of integrating the feature values computed from each of the first frame image and the second frame image, and thereby generates an integrated query in which the integrated feature values are arranged in time series.

    Image processing device, image processing method, and non-transitory storage medium

    公开(公告)号:US12081873B2

    公开(公告)日:2024-09-03

    申请号:US17617420

    申请日:2019-06-13

    CPC classification number: H04N23/698 H04N23/611

    Abstract: The present invention provides an image processing apparatus (10) including a detection unit (12) that detects a plurality of predetermined points of a body of each of a plurality of persons from an image in an image circle of a fisheye image, a gravity direction determination unit (13) that determines a gravity direction in a position of each of the plurality of persons from the plurality of predetermined points, a reference point decision unit (14) that decides a reference point, based on the gravity direction in the position of each of the plurality of persons, a complementary circular image generation unit (16) that generates a complementary circular image that is a circular image acquired by adding a complementary image to the image in the image circle of the fisheye image, and that has, as a center, the reference point different from a center of the image in the image circle, and an expansion unit (17) that panoramically expands the complementary circular image, based on the reference point, and generates a panoramic image.

    Processing system, estimation apparatus, processing method, and non-transitory storage medium

    公开(公告)号:US12039772B2

    公开(公告)日:2024-07-16

    申请号:US17600711

    申请日:2019-04-05

    CPC classification number: G06V10/7747 G06T7/70 G06T2207/20081

    Abstract: The present invention provides a processing system (10) including: a sample image generation unit (11) that generates a plurality of sample images being each associated with a partial region of a first image generated using a first lens; an estimation unit (12) that generates an image content estimation result indicating a content for each of the sample images using an estimation model generated by machine learning using a second image generated using a second lens differing from the first lens; a task execution unit (14) that estimates a relative positional relationship of a plurality of the sample images in the first image; a determination unit (15) that determines whether an estimation result of the relative positional relationship is correct; and a correction unit (16) that corrects a value of a parameter of the estimation model when the estimation result of the relative positional relationship is determined to be incorrect.

    ANALYSIS APPARATUS, ANALYSIS METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20190244341A1

    公开(公告)日:2019-08-08

    申请号:US16382268

    申请日:2019-04-12

    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.

    Abnormality detection apparatus, control method, and program

    公开(公告)号:US10255114B2

    公开(公告)日:2019-04-09

    申请号:US14900718

    申请日:2014-03-06

    Abstract: An abnormality detection apparatus (2000) handles tasks allocated to a plurality of processing servers (3200) as processing targets in a distribution system (3000) having the processing servers (3200). A history acquisition unit (2020) acquires progress history information which is information regarding progress of the plurality of tasks at a plurality of time point of recording. A target range determination unit (2040) determines a target range. A distribution calculation unit (2060) calculates a task speed distribution which is a probability distribution of processing speeds of the tasks using the progress history information regarding the plurality of tasks. An abnormality determination unit (2080) compares a processing speed of a task to be determined with the task speed distribution to thereby determine whether or not the processing speed of the task to be determined is abnormal.

    Image processing apparatus, and image processing method

    公开(公告)号:US12277165B2

    公开(公告)日:2025-04-15

    申请号:US18275765

    申请日:2021-05-26

    Abstract: A query acquisition unit (109) acquires a first query moving image having a plurality of time-series first frame images and at least one second query moving image having a plurality of time-series second frame images. A feature value computing unit (103) computes a feature value of a keypoint detected from an object being included in each of the first frame images and the second frame images. A correspondence relationship determination unit (114) determines a second frame image associated with each of the plurality of first frame images. An integration unit (113) performs, for a plurality of combinations of the first frame image and the second frame image associated with each other, processing of integrating the feature values computed from each of the first frame image and the second frame image, and thereby generates an integrated query in which the integrated feature values are arranged in time series.

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