公开(公告)号：US09842405B2

公开(公告)日：2017-12-12

申请号：US14061298

申请日：2013-10-23

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ryan M. Geiss

IPC: G06K9/00 ,  G06T7/20 ,  A63F13/833 ,  A63F13/42 ,  A63F13/213 ,  A63F13/219 ,  G06T7/246

CPC classification number: G06T7/251 ,  A63F13/04 ,  A63F13/213 ,  A63F13/42 ,  A63F13/833 ,  A63F2300/1012 ,  A63F2300/1093 ,  A63F2300/6045 ,  A63F2300/8029 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: A method of tracking a target includes classifying a pixel having a pixel address with one or more pixel cases. The pixel is classified based on one or more observed or synthesized values. An example of an observed value for a pixel address includes an observed depth value obtained from a depth camera. Examples of synthesized values for a pixel address include a synthesized depth value calculated by rasterizing a model of the target; one or more body-part indices estimating a body part corresponding to that pixel address; and one or more player indices estimating a target corresponding to that pixel address. One or more force vectors are calculated for the pixel based on the pixel case, and the force vector is mapped to one or more force-receiving locations of the model representing the target to adjust the model representing the target into an adjusted pose.

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

IPC: G06K9/00 ,  G06F3/033 ,  G06T19/00 ,  A63F13/428 ,  G06F3/01 ,  G06T17/10 ,  H04N7/18

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。