LEARNING DEVICE, LEARNING METHOD, RECORDING MEDIUM, AND RADAR DEVICE

    公开(公告)号:US20230110788A1

    公开(公告)日:2023-04-13

    申请号:US17797600

    申请日:2020-02-14

    Abstract: The learning device learns a tracking model used for a radar device. A first acquisition unit acquires, from a radar device, a target detection information indicating a position of a target detected based on a received wave, and a track of the target calculated based on the target detection information. A second acquisition unit acquires a target position information indicating a position of the target. A learning data generation unit generates learning data using the target detection information, the track, and the target position information. A learning processing unit learns a tracking model for performing tracking processing of the target based on the target detection information, using the learning data.

    IRIS AUTHENTICATION DEVICE, IRIS AUTHENTICATION METHOD AND RECORDING MEDIUM

    公开(公告)号:US20220254193A1

    公开(公告)日:2022-08-11

    申请号:US17680698

    申请日:2022-02-25

    Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

    OBJECT DETECTION DEVICE, OBJECT DETECTION SYSTEM, OBJECT DETECTION METHOD, AND RECORDING MEDIUM HAVING PROGRAM RECORDED THEREON

    公开(公告)号:US20210201007A1

    公开(公告)日:2021-07-01

    申请号:US17058796

    申请日:2018-05-29

    Abstract: The purpose of the present invention is to detect an object in images accurately by means of image recognition without using a special device for removing the influence of the parallax between a plurality of images. An image transformation unit (401) transforms a plurality of images acquired by an image acquisition unit (407). A reliability level calculation unit (402) calculates a level of reliability representing how small the misalignment between images is. A score calculation unit (405) calculates a total score taking into account both an object detection score based on a feature quantity calculated by a feature extraction unit (404), and the level of reliability calculated by the reliability level calculation unit (402). An object detection unit (406) detects an object in the images on the basis of the total score.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20200219241A1

    公开(公告)日:2020-07-09

    申请号:US16637560

    申请日:2018-08-22

    Inventor: Takashi SHIBATA

    Abstract: An information processing device according to the present invention includes: a memory; and a processor. The processor performs operations. The operations includes: calculating an index for selecting a predetermined region in a pixel of an image; calculating a position difference amount between a first image at a first time among moving images having different properties, and a first synthetic image at a second time being a time previous to the first time; generating a second synthetic image by deforming the first synthetic image, based on the position difference amount; generating first information indicating a first region where a first index in the first image satisfies a predetermined condition, and a second region where a second index in the second synthetic image satisfies a predetermined condition; and synthesizing a third synthetic image at the first time, based on the first image, the second synthetic image, and the first information.

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