METHOD AND SYSTEM FOR ESTIMATING MOTION OF REAL-TIME IMAGE TARGET BETWEEN SUCCESSIVE FRAMES

    公开(公告)号:US20230162376A1

    公开(公告)日:2023-05-25

    申请号:US17992902

    申请日:2022-11-22

    Applicant: VIRNECT inc.

    CPC classification number: G06T7/248 G06T3/40 G06T7/13 G06T7/337

    Abstract: A method of estimating a motion of a real-time image target between successive frames according to an embodiment of the present invention is a method of estimating a motion of a real-time image target between successive frames by a motion estimation application executed by at least one processor of a terminal, including detecting a target object in a first frame image, generating a first frame-down image by downscaling the first frame image, setting a plurality of tracking points TP for the target object in the first frame-down image, obtaining a second frame image consecutive to the first frame image after a predetermined time, generating a second frame-down image by downscaling the second frame image, and tracking the target object in the second frame-down image based on the plurality of tracking points TP.

    METHOD AND SYSTEM FOR SETTING DYNAMIC IMAGE THRESHOLD FOR TWO-DIMENSIONAL IDENTIFICATION CODE DETECTION

    公开(公告)号:US20230161989A1

    公开(公告)日:2023-05-25

    申请号:US17993645

    申请日:2022-11-23

    Applicant: VIRNECT inc.

    CPC classification number: G06K7/1417

    Abstract: A method of setting a dynamic image threshold for two-dimensional identification code detection by a threshold setting application 111 executed by at least one processor of a terminal 100, comprises: acquiring an identification code image I obtained by photographing a two-dimensional identification code; converting the acquired identification code image I into a binarized image BI; detecting a two-dimensional identification code in the converted binarized image BI; and providing a predetermined application service based on the detected two-dimensional identification code. The converting of the identification code image I into a binarized image BI includes: dividing the identification code image I into a plurality of regions; calculating a binarization reference threshold BT for each of the plurality of divided regions; performing binary thresholding on each of the plurality of divided regions based on the calculated binarization reference threshold BT; generating a plurality of binarized divided images BDI based on the performed binary thresholding; and generating the binarized image BI by combining the plurality of generated binarized divided images BDI.

    METHODS FOR SELECTING KEY-POINTS FOR REAL-TIME TRACKING IN A MOBILE ENVIRONMENT

    公开(公告)号:US20230206467A1

    公开(公告)日:2023-06-29

    申请号:US18146731

    申请日:2022-12-27

    Applicant: VIRNECT Inc.

    CPC classification number: G06T7/215 G06T7/248 G06V10/764

    Abstract: Provided is a method for selecting key points for real-time tracking in a mobile environment, which is used by a key point application executed by at least one processor of a computing device to select key points for real-time tracking in a mobile environment. The method comprises obtaining a target object image capturing a target object; extracting a plurality of temporary key points from the obtained target object image; determining confirmed key points by filtering the plurality of extracted temporary key points according to a predetermined distribution criterion; setting the confirmed key points as final key points for the target object image; storing target object tracking information including the final key points set for the target object image; and providing the target object tracking information to an application executing a predetermined function through the target object tracking in a mobile environment.

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