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    CAMERA PARAMETER ESTIMATION DEVICE, METHOD, AND PROGRAM
    11.
    发明申请
    CAMERA PARAMETER ESTIMATION DEVICE, METHOD, AND PROGRAM 审中-公开

    公开(公告)号：US20200021727A1

    公开(公告)日：2020-01-16

    申请号：US16497126

    申请日：2017-03-27

    Applicant: NEC CORPORATION

    Inventor： Hiroo IKEDA

    IPC: H04N5/232 ,  G06T3/00 ,  H04N7/18 ,  G06T3/20 ,  G01B11/26

    Abstract: A projection image generation unit 81 applies a plurality of projection schemes that use the radius of a visual field region of a fisheye-lens camera to an image in which an object including a straight line is imaged by the fisheye-lens camera, and generates a plurality of projection images. A projection scheme determination unit 82 selects one of the plurality of projection images on the basis of the linearity of each of the straight lines included in the projection images and determines a projection scheme on the basis of the selected projection image. An output unit 83 outputs an internal parameter of the fisheye-lens camera that corresponds to the determined projection scheme.

    TRAINING DATA GENERATING DEVICE, METHOD, AND PROGRAM, AND CROWD STATE RECOGNITION DEVICE, METHOD, AND PROGRAM
    14.
    发明申请
    TRAINING DATA GENERATING DEVICE, METHOD, AND PROGRAM, AND CROWD STATE RECOGNITION DEVICE, METHOD, AND PROGRAM 审中-公开

    公开(公告)号：US20190102660A1

    公开(公告)日：2019-04-04

    申请号：US16209277

    申请日：2018-12-04

    Applicant: NEC Corporation

    Inventor： Hiroo IKEDA

    IPC: G06K9/66 ,  G06N99/00 ,  G06K9/46 ,  G06K9/00

    Abstract: At least one processor determines a person state of a crowd according to a people state control designation as designation information on a person state of people and an individual person state control designation as designation information on a state of an individual person in the people. The at least one processor generates a crowd state image as an image in which a person image corresponding to the person state determined is synthesized with previously-prepared image at a predetermined size, specifies a training label for the crowd state image, and outputs a pair of crowd state image and training label.

    CROWD TYPE CLASSIFICATION SYSTEM, CROWD TYPE CLASSIFICATION METHOD AND STORAGE MEDIUM FOR STORING CROWD TYPE CLASSIFICATION PROGRAM
    16.
    发明申请
    CROWD TYPE CLASSIFICATION SYSTEM, CROWD TYPE CLASSIFICATION METHOD AND STORAGE MEDIUM FOR STORING CROWD TYPE CLASSIFICATION PROGRAM 有权

    公开(公告)号：US20250061589A1

    公开(公告)日：2025-02-20

    申请号：US18938464

    申请日：2024-11-06

    Applicant: NEC Corporation

    Inventor： Hiroo IKEDA

    IPC: G06T7/246 ,  G06F18/23 ,  G06F18/24 ,  G06T7/60 ,  G06T7/70 ,  G06V20/52

    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.

    INFORMATION PROCESSING DEVICE AND RECOGNITION SUPPORT METHOD
    17.
    发明公开
    INFORMATION PROCESSING DEVICE AND RECOGNITION SUPPORT METHOD 审中-公开

    公开(公告)号：US20240203159A1

    公开(公告)日：2024-06-20

    申请号：US18408698

    申请日：2024-01-10

    Applicant: NEC Corporation

    Inventor： Hiroo IKEDA

    IPC: G06V40/16 ,  G06F18/00 ,  G06T7/60 ,  G06V10/20 ,  G06V10/24 ,  G06V10/32 ,  G06V10/40

    CPC classification number: G06V40/166 ,  G06T7/60 ,  G06V10/20 ,  G06V10/32 ,  G06V10/40 ,  G06F18/00 ,  G06V10/245

    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.

    OBJECT POSITION ESTIMATION DEVICE, OBJECT POSITION ESTIMATION METHOD, AND RECORDING MEDIUM
    18.
    发明公开
    OBJECT POSITION ESTIMATION DEVICE, OBJECT POSITION ESTIMATION METHOD, AND RECORDING MEDIUM 审中-公开

    公开(公告)号：US20230230277A1

    公开(公告)日：2023-07-20

    申请号：US18010000

    申请日：2020-06-23

    Applicant: NEC Corporation

    Inventor： Hiroo IKEDA

    IPC: G06T7/73 ,  G06T7/60

    CPC classification number: G06T7/73 ,  G06T7/60 ,  G06T2207/20076 ,  G06T2207/30242 ,  G06T2207/20081

    Abstract: An object position estimation device (1) is provided with: a feature extraction unit (10) including a first feature extraction unit (21) which generates a first feature map by subjecting a target image to a convolution computation process, and a second feature extraction unit (22) which generates a second feature map by also subjecting the first feature map to the convolution computation process; and a likelihood map estimation unit (20) including a first position likelihood estimation unit (23) which, by using the first feature map, estimates a first likelihood map indicating the probability that first objects having a first size are present in the target image, and a second position likelihood estimation unit (24) which, by using the second feature map, estimates a second likelihood map indicating the probability that second objects having a second size, which is greater than the first size, are present in the target image.

    OBJECT NUMBER ESTIMATION DEVICE, CONTROL METHOD, AND PROGRAM
    19.
    发明申请
    OBJECT NUMBER ESTIMATION DEVICE, CONTROL METHOD, AND PROGRAM 有权

    公开(公告)号：US20220292706A1

    公开(公告)日：2022-09-15

    申请号：US17636431

    申请日：2019-08-30

    Applicant: NEC Corporation

    Inventor： Hiroo IKEDA

    IPC: G06T7/60 ,  G06V10/25 ,  G06N3/08 ,  G06N3/04

    Abstract: An object count estimation apparatus (2000) includes a first feature extraction network (2042), a first counting network (2044), a second feature extraction network (2062), and a second counting network (2064). The first feature extraction network (2042) generates a first feature map (20) by performing convolution processing on a target image (10). The first counting network (2044) estimates the number of target objects having a size included in a first predetermined range by performing processing on the first feature map (20). The second feature extraction network (2062) generates a second feature map (30) by performing convolution processing on the first feature map (20). The second existence estimation network (2064) estimates the number of target objects having a size included in a second predetermined range by performing processing on the second feature map (30). A size included in the first predetermined range is smaller than a size included in the second predetermined range.

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