METHOD, APPARATUS AND SYSTEM FOR PASSIVE INFRARED SENSOR FRAMEWORK

    公开(公告)号:US20180231419A1

    公开(公告)日:2018-08-16

    申请号:US15430256

    申请日:2017-02-10

    Applicant: Google Inc.

    CPC classification number: G01J5/0025 G01J5/025 G01J5/10 G08B13/191 G08B13/193

    Abstract: A method includes detecting, with a passive infrared sensor (PIR), a level of infrared radiation in a field of view (FOV) of the PIR, generating a signal based on detected levels over a period of time, the signal having values that exhibit a change in the detected levels, extracting a local feature from a sample of the signal, wherein the local feature indicates a probability that a human in the FOV caused the change in the detected levels, extracting a global feature from the sample of the signal, wherein the global feature indicates a probability that an environmental radiation source caused the change in the detected levels, determining a score based on the local feature and the global feature, and determining that a human motion has been detected in the FOV based on the score.

    Using depth maps of a scene to identify movement of a video camera
    12.
    发明授权
    Using depth maps of a scene to identify movement of a video camera 有权
    使用场景的深度图来识别摄像机的移动

    公开(公告)号:US09418441B1

    公开(公告)日:2016-08-16

    申请号:US14738825

    申请日:2015-06-12

    Applicant: GOOGLE INC.

    Abstract: A process recomputes zones for a scene. The process is performed at a computing device having one or more processors and memory. The memory stores one or more programs configured for execution by the one or more processors. The process receives a first image of a scene taken by an array of image sensors of a camera system at a first time and receives designation from a user of a zone within the first image. The process also receives a second image of the scene taken by the array of image sensors at a second time that is after the first time. The process compares the first and second images to identify movement of the camera and notifies the user about a change to the zone when the camera has moved.

    Abstract translation: 一个进程重新计算场景的区域。 该处理在具有一个或多个处理器和存储器的计算设备上执行。 存储器存储配置为由一个或多个处理器执行的一个或多个程序。 该过程在第一次接收由相机系统的图像传感器阵列拍摄的场景的第一图像,并且从第一图像内的区域的用户接收指定。 该过程还在第一次之后的第二时间接收由图像传感器阵列拍摄的场景的第二图像。 该过程比较第一和第二图像以识别摄像机的移动,并且当相机移动时通知用户关于区域的改变。

    Using a depth map of a monitored scene to identify floors, walls, and ceilings
    14.
    发明授权
    Using a depth map of a monitored scene to identify floors, walls, and ceilings 有权
    使用受监视场景的深度图识别楼层,墙壁和天花板

    公开(公告)号:US09554064B2

    公开(公告)日:2017-01-24

    申请号:US14745259

    申请日:2015-06-19

    Applicant: GOOGLE INC.

    Abstract: A camera system includes memory, a lens assembly to direct light from a scene onto an image sensing element, an image sensing element configured to receive light from the scene via the lens assembly, at least one infrared illuminator configured to transmit infrared light, and a processor, coupled to the image sensing element and the at least one infrared illuminator. The processor is configured to operate the illuminators and the image sensing element in a first mode whereby infrared light transmitted by the illuminators and reflected from the scene is used to generate a two-dimensional image of the scene. The processor is also configured to operate the illuminators and the image sensing element in a second mode whereby infrared light transmitted by the illuminators and reflected from the scene is used to identify a planar surface in the scene.

    Abstract translation: 相机系统包括存储器,用于将来自场景的光引导到图像感测元件上的透镜组件,被配置为经由透镜组件从场景接收光的图像感测元件,被配置为透射红外光的至少一个红外照明器,以及 处理器,耦合到图像感测元件和至少一个红外照明器。 处理器被配置为以第一模式操作照明器和图像感测元件,由此使用由照明器透射并从场景反射的红外光来生成场景的二维图像。 处理器还被配置为以第二模式操作照明器和图像感测元件,由此由照明器透射并从场景反射的红外光用于识别场景中的平面表面。

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