METHOD FOR TOUCHLESS CONTROL OF A DEVICE
    1.
    发明申请
    METHOD FOR TOUCHLESS CONTROL OF A DEVICE 审中-公开
    无线控制设备的方法

    公开(公告)号:US20140240225A1

    公开(公告)日:2014-08-28

    申请号:US14190148

    申请日:2014-02-26

    Applicant: POINTGRAB LTD.

    Inventor: Eran Eilat

    CPC classification number: G06F3/017 G06F3/011

    Abstract: The invention relates to a system and method for computer vision based control of a device which includes, in one embodiment, obtaining a series of images of a field of view, the field of view including a user's hand; identifying a shape of the user's hand in an image from the series of images; identifying a location within the image of the user's hand in a pre-defined shape; and controlling the device based on an overlap of the location of the hand in the pre-defined and a location of an object in the image.

    Abstract translation: 本发明涉及一种用于设备的基于计算机视觉的控制的系统和方法,该系统和方法在一个实施例中包括获得视场的一系列图像,所述视场包括用户的手; 从所述一系列图像中识别所述用户的手的形状; 以预定义的形状识别用户的手的图像内的位置; 以及基于在预定义中的手的位置与图像中的对象的位置的重叠来控制设备。

    CONTROL OF A DEVICE BY MOVEMENT PATH OF A HAND
    2.
    发明申请
    CONTROL OF A DEVICE BY MOVEMENT PATH OF A HAND 审中-公开
    通过运动路径控制设备

    公开(公告)号:US20140118244A1

    公开(公告)日:2014-05-01

    申请号:US14061781

    申请日:2013-10-24

    Applicant: POINTGRAB LTD.

    CPC classification number: G06F3/017 G06F3/0304

    Abstract: In the invention two consecutive movement paths are detected and displayed content may be manipulated based on the detection of the first movement path of the hand but once a first movement and a second movement path are detected manipulation of the displayed content by the second movement is prevented. Thus, detection of a pair of movement paths prevents unintentional activation of a device.

    Abstract translation: 在本发明中,检测出两个连续的移动路径,并且可以基于对手的第一移动路径的检测来操纵显示的内容,但是一旦检测到第一移动和第二移动路径,则检测到通过第二移动对所显示的内容的操纵被阻止 。 因此,检测一对移动路径可防止设备的无意激活。

    COMPUTER VISION GESTURE BASED CONTROL OF A DEVICE

    公开(公告)号:US20140043234A1

    公开(公告)日:2014-02-13

    申请号:US13939055

    申请日:2013-07-10

    Applicant: POINTGRAB LTD.

    Abstract: A system and method are provided for controlling a device based on computer vision. Embodiments of the system and method of the invention are based on receiving a sequence of images of a field of view; detecting movement of at least one object in the images; applying a shape recognition algorithm on the at least one moving object; confirming that the object is a user hand by combining information from at least two images of the object; and tracking the object to control the device.

    Computer vision based tracking of a hand
    6.
    发明授权
    Computer vision based tracking of a hand 有权
    基于计算机视觉的追踪手

    公开(公告)号:US08938124B2

    公开(公告)日:2015-01-20

    申请号:US13926445

    申请日:2013-06-25

    Applicant: Pointgrab Ltd.

    CPC classification number: G06K9/00355

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

    Abstract translation: 用于基于用于基于计算机视觉的人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手形形状的对象。 从手形对象中跟踪第一个选定的特征。 形状识别算法应用于来自图像序列的图像中的手形对象的可疑位置,以检测图像中的手的形状,然后选择并跟踪所检测的手形状内的第二特征, 从而提供手形对象的位置的验证和更新。

    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.

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