Computer-implemented method of alerting driver of vehicle, apparatus for alerting driver of vehicle, vehicle, and computer-program product

    公开(公告)号:US11321952B2

    公开(公告)日:2022-05-03

    申请号:US16494559

    申请日:2019-04-24

    发明人: Jibo Zhao

    摘要: A computer-implemented method of alerting a driver of a vehicle is provided. The computer-implemented method includes obtaining a plurality of consecutive input images during a time interval using a three-dimensional depth camera, a respective one of the plurality of consecutive input images comprising a user sub-image and an object sub-image; deriving three-dimensional coordinates of user feature points in the user sub-image of the respective one of the plurality of consecutive input images using a first classifier; deriving three-dimensional coordinates of object feature points in the object sub-image of the respective one of the plurality of consecutive input images using the first classifier; and classifying user posture in the respective one of the plurality of consecutive input images by analyzing the three-dimensional coordinates of user feature points and the three-dimensional coordinates of object feature points using a second classifier.

    Recognizing and tracking gestures

    公开(公告)号:US11609638B2

    公开(公告)日:2023-03-21

    申请号:US17275543

    申请日:2020-06-03

    发明人: Jibo Zhao

    摘要: A gesture control method comprises: acquiring an image; performing a gesture detection on the image to recognize a gesture from the image; determining, if no gesture is recognized from the image, whether a time interval from a last gesture detection, in which a gesture was recognized, to the gesture detection is less than a preset time period; tracking, if the time interval is less than the preset time period, the gesture in the image based on a comparative gesture which is a gesture recognized last time or tracked last time; and updating the comparative gesture with a currently recognized gesture or a currently tracked gesture. A gesture control method is provided that comprises: identifying an image acquisition device for acquiring image, to determine whether the image acquisition device is a depth-of-field image acquisition device, and performing gesture control based on the identification.

    THREE-DIMENSIONAL RECONSTRUCTION METHOD, APPARATUS AND SYSTEM, MODEL TRAINING METHOD AND STORAGE MEDIUM

    公开(公告)号:US20210375036A1

    公开(公告)日:2021-12-02

    申请号:US17043061

    申请日:2020-03-04

    发明人: Jibo Zhao

    摘要: A three-dimensional reconstruction method includes: acquiring first images captured by a first camera, each of the first images being an image containing a target object; determining a shooting angle of the each of the first images, the shooting angle being configured to characterize a shooting direction relative to the target object when the first camera shoots the first images; determining an angle interval corresponding to the each of the first images from a plurality of angle intervals included in an angle range [0, 360°) based on the shooting angle, and setting the first image as a target image in the angle interval; and three-dimensionally reconstructing the target object based on the target images in the respective angle intervals to obtain a three-dimensional image of the target object.

    COMPUTER-IMPLEMENTED METHOD OF ALERTING DRIVER OF VEHICLE, APPARATUS FOR ALERTING DRIVER OF VEHICLE, VEHICLE, AND COMPUTER-PROGRAM PRODUCT

    公开(公告)号:US20210326614A1

    公开(公告)日:2021-10-21

    申请号:US16494559

    申请日:2019-04-24

    发明人: Jibo Zhao

    摘要: A computer-implemented method of alerting a driver of a vehicle is provided. The computer-implemented method includes obtaining a plurality of consecutive input images during a time interval using a three-dimensional depth camera, a respective one of the plurality of consecutive input images comprising a user sub-image and an object sub-image; deriving three-dimensional coordinates of user feature points in the user sub-image of the respective one of the plurality of consecutive input images using a first classifier; deriving three-dimensional coordinates of object feature points in the object sub-image of the respective one of the plurality of consecutive input images using the first classifier; and classifying user posture in the respective one of the plurality of consecutive input images by analyzing the three-dimensional coordinates of user feature points and the three-dimensional coordinates of object feature points using a second classifier.