Method and system for determining occupancy from images

    公开(公告)号:US11281899B2

    公开(公告)日:2022-03-22

    申请号:US16609516

    申请日:2018-04-26

    Applicant: POINTGRAB LTD.

    Abstract: Embodiments of the invention relate to a method for determining that an object in a sequence of images is a human. The method may include the steps of detecting an object in a first image from the sequence of images and assigning a first score to the object. The object is tracked to a second image from the sequence of images and a second score is assigned to the object in the second image. The second score is compared to a threshold that is inversely related to the first score and a determination that the object in the second image is a human is made based on the comparison.

    SYSTEM AND METHOD FOR COMPUTER VISION BASED TRACKING OF AN OBJECT
    7.
    发明申请
    SYSTEM AND METHOD FOR COMPUTER VISION BASED TRACKING OF AN OBJECT 有权
    基于计算机视觉的跟踪对象的系统和方法

    公开(公告)号:US20150178556A1

    公开(公告)日:2015-06-25

    申请号:US14599670

    申请日:2015-01-19

    Applicant: POINTGRAB LTD.

    Abstract: A system and method for computer vision based tracking of a human form may include receiving a sequence of images, the images including at least one object having a shape of a human form. A first selected feature is tracked from within the human form shaped object. Shape recognition algorithms are applied at a suspected location of the human form shaped object in an image from the sequence of images to detect a shape of a human form in the image and a second feature from within the detected shape of the human form is then selected and tracked, thereby providing verification and updating of the location of the human form shaped object.

    Abstract translation: 用于人类形式的基于计算机视觉的跟踪的系统和方法可以包括接收图像序列,所述图像包括至少一个具有人形形状的对象。 第一个选定的特征是从人体形状的对象中追踪出来的。 形状识别算法被应用于来自图像序列的图像中的人形形状对象的可疑位置,以检测图像中人形的形状,并且然后从所检测到的人形形状中的第二特征被选择 并跟踪,从而提供对人形成形物体的位置的验证和更新。

    COMPUTER VISION BASED CONTROL OF A DEVICE USING MACHINE LEARNING
    8.
    发明申请
    COMPUTER VISION BASED CONTROL OF A DEVICE USING MACHINE LEARNING 审中-公开
    使用机器学习的设备的基于计算机视觉的控制

    公开(公告)号:US20150117712A1

    公开(公告)日:2015-04-30

    申请号:US14578436

    申请日:2014-12-21

    Applicant: POINTGRAB LTD.

    Inventor: ERAN EILAT

    CPC classification number: G06F3/017 G06F3/0304 G06K9/00355

    Abstract: A method for computer vision based control of a device, the method comprising: obtaining a first frame comprising an image of an object within a field of view; identifying the object by applying computer vision algorithms; storing image related shape information of the identified object; obtaining a second frame comprising an image of the object within a field of view and identifying the object in the second frame by using the image related shape information from the first frame; and controlling the device based on the identification of the object.

    Abstract translation: 一种用于基于计算机视觉的设备控制的方法,所述方法包括:获得包括视场内的对象的图像的第一帧; 通过应用计算机视觉算法识别对象; 存储所识别对象的图像相关形状信息; 通过使用来自第一帧的图像相关的形状信息来获得包括在视场内的对象的图像并识别第二帧中的对象的第二帧; 以及基于所述对象的识别来控制所述设备。

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