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    METHOD AND APPARATUS FOR REIDENTIFICATION
    1.
    发明申请
    METHOD AND APPARATUS FOR REIDENTIFICATION 有权

    公开(公告)号：US20220261577A1

    公开(公告)日：2022-08-18

    申请号：US17518411

    申请日：2021-11-03

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Seung Woo NAM ,  Jang Woon BAEK ,  Joon-Goo LEE ,  Kil Taek LIM ,  Byung Gil HAN

    IPC: G06K9/00 ,  G06K9/20 ,  G06T7/292 ,  G06N20/00

    Abstract: A re-identification apparatus acquires a first image in which a tracking target entering an intersection is captured, and identifies the tracking target and targets having a predetermined positional relationship with the tracking target in the first image. The re-identification apparatus selects a camera to be used for re-identification of the tracking target based on a signal system of the intersection, and acquires a second image captured by the selected camera and one or more third images before or after the second image. The re-identification apparatus determines a target identified in the second image and the third images among the targets when identifying an object corresponding to the tracking target in the second image, and determines whether the re-identification of the tracking target is successful based on the targets identified in the first image and the target identified in the second image and the third images.

    METHOD AND SYSTEM FOR OPTIMIZING PARAMETER INTERVALS OF MANUFACTURING PROCESSES BASED ON PREDICTION INTERVALS
    4.
    发明申请
    METHOD AND SYSTEM FOR OPTIMIZING PARAMETER INTERVALS OF MANUFACTURING PROCESSES BASED ON PREDICTION INTERVALS 有权

    公开(公告)号：US20230140696A1

    公开(公告)日：2023-05-04

    申请号：US17902048

    申请日：2022-09-02

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Jung Won YU ,  Jin Hong KIM ,  Young Jae LEE ,  Kil Taek LIM

    IPC: G05B13/04 ,  G05B13/02

    Abstract: Provided is a method of optimizing parameter intervals of manufacturing processes based on prediction intervals. The method includes: collecting process data by applying an experiment design method to a target process; training a second-order polynomial regression model based on the collected process data; estimating importance values of each input variable with respect to each output variable using the second-order polynomial regression model; defining an objective function for process optimization based on the second-order polynomial regression model; optimizing each parameter value by applying an optimization algorithm to the defined objective function; and optimizing each parameter interval including the optimized parameter value in an input space using the prediction interval of the second-order polynomial regression model.

    METHOD AND APPARATUS FOR DETECTING AND RECOGNIZING OBJECT USING LOCAL BINARY PATTERNS
    5.
    发明申请
    METHOD AND APPARATUS FOR DETECTING AND RECOGNIZING OBJECT USING LOCAL BINARY PATTERNS 有权
    使用本地二进制格式检测和识别对象的方法和装置

    公开(公告)号：US20140193071A1

    公开(公告)日：2014-07-10

    申请号：US13899003

    申请日：2013-05-21

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Kyu Bo CHO ,  Yun Su CHUNG ,  Kil Taek LIM ,  Eun Chang CHOI ,  Soo In LEE

    IPC: G06K9/00

    CPC classification number: G06K9/00771 ,  G06K9/4642 ,  G06K2009/4666

    Abstract: A method and apparatus for detecting and recognizing an object using a vector histogram based on a local binary pattern are disclosed. The apparatus of detecting and recognizing an object using a local binary pattern includes: a feature map creator configured to extract an object area in which a moving object exists from an input image, to create a local binary pattern by designating a local area in the object area, and to create a vector component map including information about magnitude vector components and direction vector components using the local binary pattern; a feature map configuring unit configured to divide the object area into a plurality of blocks and to create a feature vector map through a histogram using the vector component map in a unit of the block; and an object detector configured to detect and classify the moving object based on the feature vector map.

    Abstract translation: 公开了一种使用基于局部二进制模式的向量直方图来检测和识别对象的方法和装置。 使用本地二值图案检测和识别对象的装置包括：特征图创建器，被配置为从输入图像中提取其中存在运动对象的对象区域，以通过指定对象中的局部区域来创建局部二进制图案 并且使用本地二进制模式创建包括关于幅度矢量分量和方向矢量分量的信息的矢量分量图; 特征图配置单元，被配置为将所述对象区域划分为多个块，并且以所述块为单位使用所述向量分量图，通过直方图创建特征向量图; 以及物体检测器，被配置为基于特征矢量图检测和分类移动物体。

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