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公开(公告)号：US09821226B2
公开(公告)日：2017-11-21
申请号：US14602333
申请日：2015-01-22
Applicant: Microsoft Technology Licensing, LLC
Inventor： Tommer Leyvand , Johnny Lee , Craig Peeper , Szymon Stachniak , Shao Liu
IPC: G06K9/00 , A63F13/52 , G06F3/01 , A63F13/213 , A63F13/20 , A63F13/40 , G06T7/73 , G06T7/194 , A63F13/428 , G06K9/44 , G06K9/46
CPC classification number: A63F13/52 , A63F13/06 , A63F13/10 , A63F13/213 , A63F13/428 , A63F2300/1075 , A63F2300/6045 , G06F3/017 , G06K9/00342 , G06K9/00362 , G06K9/00711 , G06K9/44 , G06K9/469 , G06T7/194 , G06T7/75 , G06T2207/10028 , G06T2207/30196
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may be determined and a model may be adjusted based on the location or position of the one or more extremities.
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公开(公告)号：US09823764B2
公开(公告)日：2017-11-21
申请号：US14559870
申请日：2014-12-03
Applicant: Microsoft Technology Licensing, LLC
Inventor： Mark Schwesinger , Tommer Leyvand , Szymon Stachniak
IPC: A63F13/213 , G06F3/041 , G06F3/01 , G02B27/01 , G06F3/00 , G06F3/0481 , G06F3/0488 , G06F3/16 , H04N13/02 , G06F3/03
CPC classification number: G06F3/0412 , G02B27/017 , G02B2027/0178 , G06F3/005 , G06F3/011 , G06F3/012 , G06F3/013 , G06F3/017 , G06F3/0304 , G06F3/04815 , G06F3/0488 , G06F3/167 , G06F2203/012 , G06F2203/04101 , G06F2203/04106 , G06F2203/04808 , G06F2206/20 , H04N13/271
Abstract: A method to identify a targeted object based on eye tracking and gesture recognition. The method is enacted in a compute system controlled by a user and operatively coupled to a machine vision system. In this method, the compute system receives, from the machine vision system, video imaging a head and pointer of the user. Based on the video, the compute system computes a geometric line of sight of the user, which is partly occluded by the pointer. Then, with reference to position data for one or more objects, the compute system identifies the targeted object, situated along the geometric line of sight.
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公开(公告)号：US20170287139A1
公开(公告)日：2017-10-05
申请号：US15494273
申请日：2017-04-21
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor： Johnny Chung Lee , Tommer Leyvand , Szymon Piotr Stachniak , Craig Peeper , Shao Liu
IPC: G06T7/11
CPC classification number: G06F3/011 , G06F3/012 , G06F3/017 , G06K9/00201 , G06K9/00355 , G06T7/246 , G06T2200/04 , G06T2207/10028 , G06T2207/20021 , G06T2207/30196 , G06T2210/12 , G06T2219/2004
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may then be determined.
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公开(公告)号：US20170278251A1
公开(公告)日：2017-09-28
申请号：US15589827
申请日：2017-05-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Craig Peeper , Johnny Lee , Tommer Leyvand , Szymon Stachniak
CPC classification number: G06T7/194 , G06T7/11 , G06T7/215 , G06T7/254 , G06T15/00 , G06T19/00 , G06T2207/10028
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may then be discarded to isolate one or more voxels associated with a foreground object such as a human target and the isolated voxels associated with the foreground object may be processed.
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公开(公告)号：US09465980B2
公开(公告)日：2016-10-11
申请号：US14478778
申请日：2014-09-05
Applicant: Microsoft Technology Licensing, LLC
Inventor： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momin M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
CPC classification number: G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
Abstract: A method of tracking a subject includes receiving from a source a depth image of a scene including the subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that image the subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the subject as a model including a plurality of shapes.
Abstract translation: 跟踪对象的方法包括从源接收包括对象的场景的深度图像。 深度图像包括用于多个像素中的每一个的深度。 所述方法还包括识别图像所述对象的所述深度图像的像素，以及从所识别的所述深度图像的像素中导出表示所述对象的一个或多个机器可读数据结构作为包括多个形状的模型。
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Patent Agency Ranking
公开(公告)号：US20160162082A1
公开(公告)日：2016-06-09
申请号：US14559870
申请日：2014-12-03
Applicant: Microsoft Technology Licensing, LLC
Inventor： Mark Schwesinger , Tommer Leyvand , Szymon Stachniak
IPC: G06F3/041 , G06F3/16 , H04N13/02 , G06F3/0488 , G06F3/0481 , G02B27/01 , G06F3/01 , G06F3/00
CPC classification number: G06F3/0412 , G02B27/017 , G02B2027/0178 , G06F3/005 , G06F3/011 , G06F3/012 , G06F3/013 , G06F3/017 , G06F3/0304 , G06F3/04815 , G06F3/0488 , G06F3/167 , G06F2203/012 , G06F2203/04101 , G06F2203/04106 , G06F2203/04808 , G06F2206/20 , H04N13/271
Abstract: A method to identify a targeted object based on eye tracking and gesture recognition. The method is enacted in a compute system controlled by a user and operatively coupled to a machine vision system. In this method, the compute system receives, from the machine vision system, video imaging a head and pointer of the user. Based on the video, the compute system computes a geometric line of sight of the user, which is partly occluded by the pointer. Then, with reference to position data for one or more objects, the compute system identifies the targeted object, situated along the geometric line of sight.
Abstract translation: 基于眼睛跟踪和手势识别来识别目标对象的方法。 该方法在由用户控制并且可操作地耦合到机器视觉系统的计算系统中实现。 在该方法中，计算系统从机器视觉系统接收用户的头部和指针的视频成像。 基于视频，计算系统计算用户的几何视线，其被指针部分遮挡。 然后，参考一个或多个对象的位置数据，计算系统识别沿着几何视线位于的目标对象。
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公开(公告)号：US10147194B2
公开(公告)日：2018-12-04
申请号：US15589827
申请日：2017-05-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Craig Peeper , Johnny Lee , Tommer Leyvand , Szymon Stachniak
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may then be discarded to isolate one or more voxels associated with a foreground object such as a human target and the isolated voxels associated with the foreground object may be processed.
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公开(公告)号：US10048747B2
公开(公告)日：2018-08-14
申请号：US15494273
申请日：2017-04-21
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor： Johnny Chung Lee , Tommer Leyvand , Szymon Piotr Stachniak , Craig Peeper , Shao Liu
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may then be determined.
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公开(公告)号：US09659377B2
公开(公告)日：2017-05-23
申请号：US14570005
申请日：2014-12-15
Applicant: Microsoft Technology Licensing, LLC
Inventor： Johnny Chung Lee , Tommer Leyvand , Szymon Piotr Stachniak , Craig Peeper , Shao Liu
CPC classification number: G06F3/011 , G06F3/012 , G06F3/017 , G06K9/00201 , G06K9/00355 , G06T7/246 , G06T2200/04 , G06T2207/10028 , G06T2207/20021 , G06T2207/30196 , G06T2210/12 , G06T2219/2004
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may then be determined.
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公开(公告)号：US09582717B2
公开(公告)日：2017-02-28
申请号：US14524277
申请日：2014-10-27
Applicant: Microsoft Technology Licensing, LLC
Inventor： Johnny Chung Lee , Tommer Leyvand , Szymon Piotr Stachniak , Craig C. Peeper
CPC classification number: G06K9/00624 , G06F3/017 , G06K9/00362 , G06T7/251 , G06T7/579 , G06T15/00 , G06T2200/04 , G06T2207/10016 , G06T2207/10028 , G06T2207/30196 , H04N13/20
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A model may be adjusted based on a location or position of one or more extremities estimated or determined for a human target in the grid of voxels. The model may also be adjusted based on a default location or position of the model in a default pose such as a T-pose, a DaVinci pose, and/or a natural pose.
Abstract translation: 可以由设备接收，观察或捕获诸如场景的深度图像的图像。 然后可以基于深度图像生成体素的网格，使得可以对深度图像进行下采样。 可以基于在体素网格中为人类目标估计或确定的一个或多个末端的位置或位置来调整模型。 模型还可以基于默认位置或模型在诸如T姿势，达芬奇姿态和/或自然姿势之类的默认姿势中的位置来调整。
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