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    SYSTEM AND METHOD FOR DETECTING GESTURES
    1.
    发明申请
    SYSTEM AND METHOD FOR DETECTING GESTURES 审中-公开
    用于检测手势的系统和方法

    公开(公告)号：US20140157209A1

    公开(公告)日：2014-06-05

    申请号：US13796772

    申请日：2013-03-12

    Applicant: Google Inc.

    Inventor： Navneet Dalal ,  Mehul Nariyawala ,  Ankit Mohan ,  Varun Gulshan

    IPC: G06F3/01

    CPC classification number: G06F3/017 ,  G06F3/012 ,  G06F3/0482 ,  G06F2203/011 ,  G06K9/00355 ,  G06K9/2018 ,  G06K9/6807

    Abstract: A system and method that includes detecting an application change within a multi-application operating framework; updating an application hierarchy model for gesture-to-action responses with the detected application change; detecting a gesture; according to the hierarchy model, mapping the detected gesture to an action of an application; and triggering the action.

    Abstract translation: 一种包括检测多应用操作框架内的应用变化的系统和方法; 用检测到的应用改变来更新用于手势对动作响应的应用层级模型; 检测手势; 根据层次模型，将检测到的手势映射到应用的动作; 并触发动作。

    Gesture-initiated actions in videoconferences
    4.
    发明授权
    Gesture-initiated actions in videoconferences 有权
    视频会议中手势发起的动作

    公开(公告)号：US09445048B1

    公开(公告)日：2016-09-13

    申请号：US14445778

    申请日：2014-07-29

    Applicant: Google Inc.

    Inventor： Mehul Nariyawala ,  Rahul Garg ,  Navneet Dalal ,  Thor Carpenter ,  Greg Burgess ,  Tim Psiaki ,  Mark Chang ,  Antonio Bernardo Monteiro Costa ,  Christian Plagemann ,  Chee Chew

    IPC: H04N7/15 ,  G06F3/01

    CPC classification number: H04N7/15 ,  G06F3/017 ,  H04N7/152

    Abstract: Systems and methods are disclosed for gesture-initiated actions in videoconferences. In one implementation, a processing device receives one or more content streams as part of a communication session. The processing device identifies, within the one or more content streams, a request for feedback. The processing device processes, based on an identification of a request for feedback within the one of the plurality of content streams, the one or more content streams to identify a presence of one or more gestures within at least one of the one or more content streams. The processing device initiates, based on an identification of the presence of one or more gestures within at least one of the one or more content streams, an action with respect to the communication session.

    Abstract translation: 系统和方法被公开用于视频会议中的手势发起的动作。 在一个实现中，处理设备作为通信会话的一部分接收一个或多个内容流。 处理装置在一个或多个内容流中识别反馈请求。 处理设备基于对多个内容流中的一个内容流中的反馈请求的标识来处理一个或多个内容流，以识别一个或多个内容流中的至少一个内的一个或多个手势的存在 。 处理装置基于对一个或多个内容流中的至少一个内的一个或多个内容流中的一个或多个手势的存在的识别发起关于通信会话的动作。

    SYSTEM AND METHOD FOR GESTURE DETECTION THROUGH LOCAL PRODUCT MAP
    5.
    发明申请
    SYSTEM AND METHOD FOR GESTURE DETECTION THROUGH LOCAL PRODUCT MAP 审中-公开
    通过当地产品地图进行手势检测的系统和方法

    公开(公告)号：US20140254864A1

    公开(公告)日：2014-09-11

    申请号：US13788900

    申请日：2013-03-07

    Applicant: Google Inc.

    Inventor： Navneet Dalal ,  Rahul Garg ,  Varun Gulshan ,  Ankit Mohan

    IPC: G06K9/62 ,  G06K9/00

    CPC classification number: G06K9/00335 ,  G06K2009/4666

    Abstract: System and method for image detection that include collecting image data; at a processor, over a plurality of support regions of the image data, computing a dimensionality component of a support region of the image data, wherein the, non-nucleus pixels of a support region; calculating a normalizing factor of the dimensionality component; for at least one weighted pattern of a pattern set, applying a weighted pattern to the dimensionality component to create a gradient vector, mapping the gradient vector to a probabilistic model, and normalizing the gradient vector by the normalizing factor; condensing probabilistic models of the plurality of support regions into a probabilistic distribution feature for at least one cell of the image data; applying a classifier to at least the probabilistic distribution feature; and detecting an object in the image data according to a result of the applied classifier.

    Abstract translation: 包括收集图像数据的图像检测系统和方法; 在处理器处，在图像数据的多个支持区域上，计算图像数据的支持区域的维数分量，其中支持区域的非核心像素; 计算维度分量的归一化因子; 对于图案组的至少一个加权图案，将加权图案应用于所述维度分量以创建梯度向量，将所述梯度向量映射到概率模型，以及通过所述归一化因子归一化所述梯度向量; 将所述多个支持区域的概率模型缩放为所述图像数据的至少一个单元的概率分布特征; 将分类器应用于至少概率分布特征; 以及根据应用的分类器的结果检测图像数据中的对象。

    Methods and Systems for Presenting Image Data for Detected Regions of Interest
    6.
    发明申请
    Methods and Systems for Presenting Image Data for Detected Regions of Interest 审中-公开

    公开(公告)号：US20180349708A1

    公开(公告)日：2018-12-06

    申请号：US15608904

    申请日：2017-05-30

    Applicant: GOOGLE INC.

    Inventor： Joost van Hoof ,  Navneet Dalal ,  James Edward Stewart ,  Ting Yu ,  Maxime Veron ,  George Alban Heitz, III

    IPC: G06K9/00 ,  G08B13/196

    Abstract: A method includes obtaining from an image sensor of a video camera a primary real-time video stream comprising images of a field of view of the video camera; identifying from the primary video stream one or more regions of interest in the field of view of the video camera; while obtaining the primary video stream, creating a first video sub-stream comprising a first plurality of images for a first one of the one or more identified regions of interest, wherein: images of the first plurality of images include image data for portions of the field of the video camera that include the first identified region of interest, and the images of the first plurality of images have fields of view that are smaller than the field of view of the video camera; and providing the first video sub-stream for display at a client device.

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