SYSTEM AND METHOD FOR MATCHING AN OBJECT IN CAPTURED IMAGES

    公开(公告)号:US20180173940A1

    公开(公告)日:2018-06-21

    申请号:US15384154

    申请日:2016-12-19

    CPC classification number: G06K9/00369 G06K9/00295 G06K9/00771 G06K2009/4666

    Abstract: A method of matching a person in captured images comprises determining first feature vectors from a first image sequence of person(s), and determining second feature vectors from a second image sequence of person(s). The first and second feature vectors are determined based on properties of pixels located in the first and second image sequences respectively. The method further comprises, for a first feature vector corresponding to a first person in the first image sequence, determining a reference distance to one of the second feature vectors corresponding to a reference person in the second image sequence; determining a distance metric by constraining a distance between the first feature vector and a feature vector corresponding to the first person in the second image sequence, according to the determined reference distance; and matching a pair of images of the person in the captured images based on the distance metric.

    METHOD, SYSTEM AND APPARATUS FOR DETERMINING A PROPERTY OF AN IMAGE
    3.
    发明申请
    METHOD, SYSTEM AND APPARATUS FOR DETERMINING A PROPERTY OF AN IMAGE 有权
    用于确定图像属性的方法,系统和装置

    公开(公告)号:US20150063684A1

    公开(公告)日:2015-03-05

    申请号:US14470271

    申请日:2014-08-27

    Abstract: A method of determining a property of an image (176) captured by a camera (127), is disclosed. Vanishing points (320, 330, 340) in the image (176). Each pixel of the image (176) is associated with one or more of the vanishing points (320, 330, 340) based on an orientation of the image gradient at the pixel. The image is partitioned into a set of regions associated with a pair of the determined vanishing points based on the vanishing point associations for pixels in the image (176). Boundaries of the regions are aligned with the associated vanishing points. For at least one of the plurality of regions, a confidence value is determined for the property of the image based on pixels in the region. The property of the image is determined for one or more pixels within the image (176) based on the confidence value.

    Abstract translation: 公开了一种确定由相机(127)捕获的图像(176)的属性的方法。 图像中的消失点(320,330,340)(176)。 基于像素处的图像梯度的取向,图像(176)的每个像素与一个或多个消失点(320,330,340)相关联。 基于图像中的像素的消失点关联,将图像划分成与一组所确定的消失点相关联的一组区域(176)。 区域的边界与相关的消失点对齐。 对于多个区域中的至少一个,基于该区域中的像素来确定图像的属性的置信度值。 基于置信度值确定图像(176)内的一个或多个像素的图像的属性。

    Detection of an object in a distorted image

    公开(公告)号:US10255507B2

    公开(公告)日:2019-04-09

    申请号:US15384090

    申请日:2016-12-19

    Abstract: A system and method for determining an object in a distorted image. The method comprises detecting a location of a first part of the object on the distorted image; determining a corresponding location of the first part of the object on an undistorted image plane corresponding to the distorted image based on a plurality of calibration parameters; predicting a location of a second part of the object on the undistorted image plane based on the determined location of the first part on the undistorted image plane; determining a corresponding location of the second part of the object on the distorted image based on the predicted location of the second part of the object on the undistorted image plane and the calibration parameters; and determining the object based on the detected location of the first part of the object and the determined location of the second part in the distorted image.

    SYSTEM AND METHOD FOR OBJECT RE-IDENTIFICATION
    6.
    发明申请
    SYSTEM AND METHOD FOR OBJECT RE-IDENTIFICATION 有权
    用于对象重新识别的系统和方法

    公开(公告)号:US20160092736A1

    公开(公告)日:2016-03-31

    申请号:US14869791

    申请日:2015-09-29

    Abstract: A method of identifying, with a camera, an object in an image of a scene, by determining the distinctiveness of each of a number of attributes of an object of interest, independent of the camera viewpoint, determining the detectability of each of the attributes based on the relative orientation of a candidate object in the image of the scene, determining a camera setting for viewing the candidate object based on the distinctiveness of an attribute, so as to increase the detectability of the attribute, and capturing an image of the candidate object with the camera setting to determine the confidence that the candidate object is the object of interest.

    Abstract translation: 一种通过确定与摄像机视点无关的感兴趣对象的多个属性中的每一个的独特性来确定场景的图像中的对象的方法,确定每个属性的可检测性 根据场景图像中的候选对象的相对定向,基于属性的独特性确定用于观看候选对象的相机设置,以便增加属性的可检测性,并且捕获候选对象的图像 使用相机设置来确定候选对象是感兴趣对象的置信度。

    Alignment-free video change detection using deep blind image region prediction

    公开(公告)号:US10915755B2

    公开(公告)日:2021-02-09

    申请号:US16216868

    申请日:2018-12-11

    Abstract: A method of detecting a change in a scene between images that capture a scene at different times, the images comprising reference images and a query image, the method includes reconstructing the query image using a reconstruction model, the reconstruction model being based on the reference images and detecting a change in the scene by comparing the query image with the reconstructed query image.

    System and method for object re-identification

    公开(公告)号:US10248860B2

    公开(公告)日:2019-04-02

    申请号:US15814282

    申请日:2017-11-15

    Abstract: A method of identifying, with a camera, an object in an image of a scene, by determining the distinctiveness of each of a number of attributes of an object of interest, independent of the camera viewpoint, determining the detectability of each of the attributes based on the relative orientation of a candidate object in the image of the scene, determining a camera setting for viewing the candidate object based on the distinctiveness of an attribute, so as to increase the detectability of the attribute, and capturing an image of the candidate object with the camera setting to determine the confidence that the candidate object is the object of interest.

    Methods and systems for controlling a camera to perform a task

    公开(公告)号:US10110801B2

    公开(公告)日:2018-10-23

    申请号:US15190510

    申请日:2016-06-23

    Abstract: Methods, systems, and computer readable media are described for controlling a camera to perform a selected task from a set of tasks is provided. The method comprises determining a viewing condition of the camera to perform each task from the set of tasks, and determining a posterior probability of task success for each task from the set of tasks based on the determined viewing conditions and a prior probability of task success for each task. The method also includes determining a change in rate of information gain for task success for each task from the set of tasks based on the posterior probability, selecting the task to be performed based on the change in rate of information gain, and controlling the camera to perform the selected task.

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