Image processing system, image processing method, and program

    公开(公告)号:US10554905B2

    公开(公告)日:2020-02-04

    申请号:US16274453

    申请日:2019-02-13

    Abstract: An image processing system, an image processing method, and a program capable of implementing an association of a person appearing in a video image through a simple operation are provided. The image processing system includes an input device which accepts input of video images captured by a plurality of video cameras, a display screen generating unit which causes a display device to display at least one video image among the video images inputted from the input device, and a tracked person registering unit which is capable of registering one or more persons appearing in the video image displayed by the display device. When a person appears in the video image displayed by the display device, the display screen generating unit selectably displays person images of one or more persons, which are associable with the person appearing in the video image and which are registered by the tracked person registering unit, in a vicinity of the video image.

    Information processing device and recognition support method

    公开(公告)号:US10248881B2

    公开(公告)日:2019-04-02

    申请号:US15506508

    申请日:2015-08-19

    Inventor: Hiroo Ikeda

    Abstract: In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.

    Training data generating device, method, and program, and crowd state recognition device, method, and program

    公开(公告)号:US10223620B2

    公开(公告)日:2019-03-05

    申请号:US15667937

    申请日:2017-08-03

    Inventor: Hiroo Ikeda

    Abstract: A rectangular region group storage unit stores a group of rectangular regions indicating portions to be recognized for a crowd state on an image. A crowd state recognition dictionary storage unit stores a dictionary of a discriminator acquired by machine learning by use of a plurality of pairs of crowd state image as an image which expresses a crowd state at a predetermined size and includes a person whose reference site is expressed as large as the size of the reference site of a person defined for the predetermined size, and training label for the crowd state image. A crowd state recognition unit extracts regions indicated in the group of rectangular regions stored in the rectangular region group storage unit from a given image, and recognizes states of the crowds shot in the extracted images based on the dictionary.

    Image processing system, image processing method, and program

    公开(公告)号:US12256176B2

    公开(公告)日:2025-03-18

    申请号:US17360169

    申请日:2021-06-28

    Abstract: An image processing system, an image processing method, and a program capable of implementing an association of a person appearing in a video image through a simple operation are provided. The image processing system includes an input device which accepts input of video images captured by a plurality of video cameras, a display screen generating unit which causes a display device to display at least one video image among the video images inputted from the input device, and a tracked person registering unit which is capable of registering one or more persons appearing in the video image displayed by the display device. When a person appears in the video image displayed by the display device, the display screen generating unit selectably displays person images of one or more persons, which are associable with the person appearing in the video image and which are registered by the tracked person registering unit, in a vicinity of the video image.

    Crowd type classification system, crowd type classification method and storage medium for storing crowd type classification program

    公开(公告)号:US12175683B2

    公开(公告)日:2024-12-24

    申请号:US18344542

    申请日:2023-06-29

    Inventor: Hiroo Ikeda

    Abstract: A crowd type classification system of an aspect of the present invention includes: a staying crowd detection unit that detects a local region indicating a crowd in staying from a plurality of local regions determined in an image acquired by an image acquisition device; a crowd direction estimation unit that estimates a direction of the crowd for an image of a part corresponding to the detected local region, and appends the direction of the crowd to the local region; and a crowd type classification unit that classifies a type of the crowd including a plurality of staying persons for the local region to which the direction is appended by using a relative vector indicating a relative positional relationship between two local regions and directions of crowds in the two local regions, and outputs the type and positions of the crowds.

    ESTIMATION APPARATUS, MODEL GENERATION APPARATUS, AND ESTIMATION METHOD

    公开(公告)号:US20240112437A1

    公开(公告)日:2024-04-04

    申请号:US18200338

    申请日:2023-05-22

    Inventor: Hiroo Ikeda

    CPC classification number: G06V10/25 G06V10/22

    Abstract: An estimation apparatus includes an acquisition unit and an estimation unit. The acquisition unit acquires an image. The estimation unit estimates the number of target objects included in a target region being at least part of the acquired image by using a learned model. Input data of the model are an image. Output data of the model include likelihood data and numerical data. The likelihood data indicate a likelihood of a one or more target objects being included in each of a plurality of partial regions acquired by dividing the image. The numerical data indicate an estimated number of target objects for a partial region estimated to include one or more target objects out of the plurality of partial regions. The estimation unit estimates the number of target objects included in a target region by using the likelihood data and the numerical data.

    Information processing device and recognition support method

    公开(公告)号:US11915516B2

    公开(公告)日:2024-02-27

    申请号:US18156616

    申请日:2023-01-19

    Inventor: Hiroo Ikeda

    Abstract: In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.

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

    公开(公告)号:US20230386243A1

    公开(公告)日:2023-11-30

    申请号:US18232215

    申请日:2023-08-09

    Inventor: Hiroo Ikeda

    CPC classification number: G06V40/10 G06V30/194

    Abstract: An information processing apparatus (2000) includes a recognizer (2020). An image (10) is input to the recognizer (2020). The recognizer (2020) outputs, for a crowd included in the input image (10), a label (30) describing a type of the crowd and structure information (40) describing a structure of the crowd. The structure information (40) indicates a location and a direction of an object included in the crowd. The information processing apparatus (2000) acquires training data (50) which includes a training image (52), a training label (54), and training structure information (56). The information processing apparatus (2000) performs training of the recognizer (2020) using the label (30) and the structure information (40), which are acquired by inputting the training image (52) with respect to the recognizer (2020, and the training label (54) and the training structure information (56).

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