公开(公告)号：US08994652B2

公开(公告)日：2015-03-31

申请号：US13768835

申请日：2013-02-15

Applicant: Omek Interactive, Ltd. ,  Intel Corporation

Inventor： Shahar Fleischmann ,  Yotam Livny ,  Gideon Kleimer ,  Gershom Kutliroff

IPC: G09G5/00 ,  G06F3/01

CPC classification number: G06F3/017 ,  G06F3/011 ,  G06F3/0304 ,  G06K9/00335 ,  G06K9/6255 ,  G06T7/251 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: The present disclosure describes a target tracker that evaluates frames of data of one or more targets, such as a body part, body, and/or object, acquired by a depth camera. Positions of the joints of the target(s) in the previous frame and the data from a current frame are used to determine the positions of the joints of the target(s) in the current frame. To perform this task, the tracker proposes several hypotheses and then evaluates the data to validate the respective hypotheses. The hypothesis that best fits the data generated by the depth camera is selected, and the joints of the target(s) are mapped accordingly.

Abstract translation: 本公开描述了评估由深度相机获取的一个或多个目标（诸如身体部位，身体和/或物体）的数据帧的目标跟踪器。 使用前一帧中的目标的关节的位置和来自当前帧的数据来确定当前帧中的目标的关节的位置。 为了执行这个任务，跟踪器提出几个假设，然后评估数据以验证相应的假设。 选择最适合深度摄像机生成的数据的假设，并且相应地映射目标的关节。

公开(公告)号：US20140232631A1

公开(公告)日：2014-08-21

申请号：US13768835

申请日：2013-02-15

Applicant: Intel Corporation ,  OMEK INTERACTIVE, LTD.

Inventor： Shahar Fleischmann ,  Yotam Livny ,  Gideon Kleimer ,  Gershom Kutliroff

IPC: G06F3/01

CPC classification number: G06F3/017 ,  G06F3/011 ,  G06F3/0304 ,  G06K9/00335 ,  G06K9/6255 ,  G06T7/251 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: The present disclosure describes a target tracker that evaluates frames of data of one or more targets, such as a body part, body, and/or object, acquired by a depth camera. Positions of the joints of the target(s) in the previous frame and the data from a current frame are used to determine the positions of the joints of the target(s) in the current frame. To perform this task, the tracker proposes several hypotheses and then evaluates the data to validate the respective hypotheses. The hypothesis that best fits the data generated by the depth camera is selected, and the joints of the target(s) are mapped accordingly.

Abstract translation: 本公开描述了评估由深度相机获取的一个或多个目标（诸如身体部位，身体和/或物体）的数据帧的目标跟踪器。 使用前一帧中的目标的关节的位置和来自当前帧的数据来确定当前帧中的目标的关节的位置。 为了执行这个任务，跟踪器提出几个假设，然后评估数据以验证相应的假设。 选择最适合深度摄像机生成的数据的假设，并且相应地映射目标的关节。