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1. 发明申请

US20120162065A1 SKELETAL JOINT RECOGNITION AND TRACKING SYSTEM 审中-公开
标题翻译： SKELETAL JOINT识别和跟踪系统
公开(公告)号：US20120162065A1
公开(公告)日：2012-06-28
申请号：US13410681
申请日：2012-03-02
申请人： Philip Tossell , Andrew Wilson , Alex Aben-Athar Kipman , Johnny Chung Lee , Alex Balan , Jamie Shotton , Richard Moore , Oliver Williams , Ryan Geiss , Mark Finocchio , Kathryn Stone Perez , Aaron Kornblum , John Clavin
发明人： Philip Tossell , Andrew Wilson , Alex Aben-Athar Kipman , Johnny Chung Lee , Alex Balan , Jamie Shotton , Richard Moore , Oliver Williams , Ryan Geiss , Mark Finocchio , Kathryn Stone Perez , Aaron Kornblum , John Clavin
IPC分类号： G06F3/01
CPC分类号： G06K9/00342 , G06K9/00369
摘要： A system and method are disclosed for recognizing and tracking a user's skeletal joints with a NUI system and further, for recognizing and tracking only some skeletal joints, such as for example a user's upper body. The system may include a limb identification engine which may use various methods to evaluate, identify and track positions of body parts of one or more users in a scene. In examples, further processing efficiency may be achieved by segmenting the field of view in smaller zones, and focusing on one zone at a time. Moreover, each zone may have its own set of predefined gestures which are recognized.
摘要翻译：公开了一种用于识别和跟踪用户与NUI系统的骨骼关节的系统和方法，并且还用于仅识别和跟踪某些骨骼关节，例如用户的上身。系统可以包括肢体识别引擎，其可以使用各种方法来评估，识别和跟踪场景中的一个或多个用户的身体部位的位置。在示例中，可以通过在较小区域中分割视野并且一次聚焦于一个区域来实现进一步的处理效率。此外，每个区域可以具有自己识别的一组预定义的手势。

2. 发明申请

US20110317871A1 SKELETAL JOINT RECOGNITION AND TRACKING SYSTEM 审中-公开
标题翻译： SKELETAL JOINT识别和跟踪系统
公开(公告)号：US20110317871A1
公开(公告)日：2011-12-29
申请号：US12825657
申请日：2010-06-29
申请人： Philip Tossell , Andrew Wilson , Alex Aben-Athar Kipman , Johnny Chung Lee , Alex Balan , Jamie Shotton , Richard Moore , Oliver Williams , Ryan Geiss , Kathryn Stone Perez , Aaron Kornblum , John Clavin
发明人： Philip Tossell , Andrew Wilson , Alex Aben-Athar Kipman , Johnny Chung Lee , Alex Balan , Jamie Shotton , Richard Moore , Oliver Williams , Ryan Geiss , Kathryn Stone Perez , Aaron Kornblum , John Clavin
IPC分类号： G06K9/00
CPC分类号： G06K9/00342 , G06K9/00369
摘要： A system and method are disclosed for recognizing and tracking a user's skeletal joints with a NUI system and further, for recognizing and tracking only some skeletal joints, such as for example a user's upper body. The system may include a limb identification engine which may use various methods to evaluate, identify and track positions of body parts of one or more users in a scene. In examples, further processing efficiency may be achieved by segmenting the field of view in smaller zones, and focusing on one zone at a time. Moreover, each zone may have its own set of predefined gestures which are recognized.
摘要翻译：公开了一种用于识别和跟踪用户与NUI系统的骨骼关节的系统和方法，并且还用于仅识别和跟踪某些骨骼关节，例如用户的上身。系统可以包括肢体识别引擎，其可以使用各种方法来评估，识别和跟踪场景中的一个或多个用户的身体部位的位置。在示例中，可以通过在较小区域中分割视野并且一次聚焦于一个区域来实现进一步的处理效率。此外，每个区域可以具有自己识别的一组预定义的手势。

3. 发明授权

US08379919B2 Multiple centroid condensation of probability distribution clouds 有权
标题翻译：概率分布云的多重中心凝聚
公开(公告)号：US08379919B2
公开(公告)日：2013-02-19
申请号：US12770394
申请日：2010-04-29
申请人： Matthew Bronder , Oliver Williams , Ryan Geiss , Andrew Fitzgibbon , Jamie Shotton
发明人： Matthew Bronder , Oliver Williams , Ryan Geiss , Andrew Fitzgibbon , Jamie Shotton
IPC分类号： G06K9/00
CPC分类号： G06K9/00375 , G06F3/017 , G06K9/342 , G06K9/6219 , H04N19/436
摘要： Systems and methods are disclosed for identifying objects captured by a depth camera by condensing classified image data into centroids of probability that captured objects are correctly identified entities. Output exemplars are processed to detect spatially localized clusters of non-zero probability pixels. For each cluster, a centroid is generated, generally resulting in multiple centroids for each differentiated object. Each centroid may be assigned a confidence value, indicating the likelihood that it corresponds to a true object, based on the size and shape of the cluster, as well as the probabilities of its constituent pixels.
摘要翻译：公开了系统和方法，用于通过将分类的图像数据聚焦成捕获的对象被正确识别的实体的概率的质心来识别由深度相机捕获的对象。处理输出样本以检测非零概率像素的空间局部集群。对于每个聚类，生成质心，通常会为每个不同对象产生多个质心。可以根据群集的大小和形状以及其组成像素的概率为每个质心分配置信度值，指示其对应于真实对象的可能性。

4. 发明申请

US20110268316A1 MULTIPLE CENTROID CONDENSATION OF PROBABILITY DISTRIBUTION CLOUDS 有权
标题翻译：概率分布云的多中心简化
公开(公告)号：US20110268316A1
公开(公告)日：2011-11-03
申请号：US12770394
申请日：2010-04-29
申请人： Matthew Bronder , Oliver Williams , Ryan Geiss , Andrew Fitzgibbon , Jamie Shotton
发明人： Matthew Bronder , Oliver Williams , Ryan Geiss , Andrew Fitzgibbon , Jamie Shotton
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00375 , G06F3/017 , G06K9/342 , G06K9/6219 , H04N19/436
摘要： Systems and methods are disclosed for identifying objects captured by a depth camera by condensing classified image data into centroids of probability that captured objects are correctly identified entities. Output exemplars are processed to detect spatially localized clusters of non-zero probability pixels. For each cluster, a centroid is generated, generally resulting in multiple centroids for each differentiated object. Each centroid may be assigned a confidence value, indicating the likelihood that it corresponds to a true object, based on the size and shape of the cluster, as well as the probabilities of its constituent pixels.
摘要翻译：公开了系统和方法，用于通过将分类的图像数据聚焦成捕获的对象被正确识别的实体的概率的质心来识别由深度相机捕获的对象。处理输出样本以检测非零概率像素的空间局部集群。对于每个聚类，生成质心，通常会为每个不同对象产生多个质心。可以根据群集的大小和形状以及其组成像素的概率为每个质心分配置信度值，指示其对应于真实对象的可能性。

5. 发明申请

US20120056800A1 SYSTEM FOR FAST, PROBABILISTIC SKELETAL TRACKING 有权
标题翻译：快速，可靠的跟踪跟踪系统
公开(公告)号：US20120056800A1
公开(公告)日：2012-03-08
申请号：US12876418
申请日：2010-09-07
申请人： Oliver Williams , Ryan Geiss
发明人： Oliver Williams , Ryan Geiss
IPC分类号： G09G5/00
CPC分类号： G06F3/011 , A63F13/10 , A63F13/213 , A63F13/428 , A63F2300/1093 , A63F2300/6027 , A63F2300/6045 , A63F2300/6607 , G06F3/0304 , G06K9/00369 , G06T7/251 , G06T2207/10021 , G06T2207/10028 , G06T2207/20076 , G06T2207/30196
摘要： A system and method are disclosed for recognizing and tracking a user's skeletal joints with a NUI system. The system includes one or more experts for proposing one or more skeletal hypotheses each representing a user pose within a given frame. Each expert is generally computationally inexpensive. The system further includes an arbiter for resolving the skeletal hypotheses from the experts into a best state estimate for a given frame. The arbiter may score the various skeletal hypotheses based on different methodologies. The one or more skeletal hypotheses resulting in the highest score may be returned as the state estimate for a given frame. It may happen that the experts and arbiter are unable to resolve a single state estimate with a high degree of confidence for a given frame. It is a further goal of the present system to capture any such uncertainty as a factor in how a state estimate is to be used.
摘要翻译：公开了一种用于识别和跟踪用户与NUI系统的骨骼关节的系统和方法。该系统包括一个或多个专家，用于提出一个或多个骨骼假设，每个骨骼假设表示给定帧内的用户姿态。每个专家通常在计算上是廉价的。该系统还包括仲裁器，用于将来自专家的骨骼假设解析成给定帧的最佳状态估计。仲裁者可以根据不同的方法对各种骨骼假设进行评分。导致最高分数的一个或多个骨骼假设可以作为给定帧的状态估计返回。可能发生专家和仲裁者无法以特定框架的高度置信度来解决单一状态估计。本系统的另一个目标是捕获任何这样的不确定性，因为如何使用状态估计。

6. 发明授权

US08437506B2 System for fast, probabilistic skeletal tracking 有权
公开(公告)号：US08437506B2
公开(公告)日：2013-05-07
申请号：US12876418
申请日：2010-09-07
申请人： Oliver Williams , Ryan Geiss
发明人： Oliver Williams , Ryan Geiss
IPC分类号： G06K9/00 , H04N15/00
CPC分类号： G06F3/011 , A63F13/10 , A63F13/213 , A63F13/428 , A63F2300/1093 , A63F2300/6027 , A63F2300/6045 , A63F2300/6607 , G06F3/0304 , G06K9/00369 , G06T7/251 , G06T2207/10021 , G06T2207/10028 , G06T2207/20076 , G06T2207/30196
摘要： A system and method are disclosed for recognizing and tracking a user's skeletal joints with a NUI system. The system includes one or more experts for proposing one or more skeletal hypotheses each representing a user pose within a given frame. Each expert is generally computationally inexpensive. The system further includes an arbiter for resolving the skeletal hypotheses from the experts into a best state estimate for a given frame. The arbiter may score the various skeletal hypotheses based on different methodologies. The one or more skeletal hypotheses resulting in the highest score may be returned as the state estimate for a given frame. It may happen that the experts and arbiter are unable to resolve a single state estimate with a high degree of confidence for a given frame. It is a further goal of the present system to capture any such uncertainty as a factor in how a state estimate is to be used.

7. 发明授权

US08565485B2 Pose tracking pipeline 有权
公开(公告)号：US08565485B2
公开(公告)日：2013-10-22
申请号：US13615269
申请日：2012-09-13
申请人： 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
发明人： 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分类号： G06K9/00 , H04N11/02
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source a depth image of a scene including the human 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 belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.

8. 发明授权

US08553939B2 Pose tracking pipeline 有权
公开(公告)号：US08553939B2
公开(公告)日：2013-10-08
申请号：US13408775
申请日：2012-02-29
申请人： 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
发明人： 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分类号： G06K9/00 , H04N11/02
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source a depth image of a scene including the human 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 belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.

9. 发明授权

US08295546B2 Pose tracking pipeline 有权
标题翻译：姿势跟踪管道
公开(公告)号：US08295546B2
公开(公告)日：2012-10-23
申请号：US12603437
申请日：2009-10-21
申请人： 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
发明人： 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分类号： G06K9/00 , H04N11/02
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source an observed depth image of a scene including the target. Each pixel of the observed depth image is labeled as either a foreground pixel belonging to the target or a background pixel not belonging to the target. Each foreground pixel is labeled with body part information indicating a likelihood that that foreground pixel belongs to one or more body parts of the target. The target is modeled with a skeleton including a plurality of skeletal points, each skeletal point including a three dimensional position derived from body part information of one or more foreground pixels.
摘要翻译：跟踪目标的方法包括从源接收包括目标的场景的观测深度图像。观察到的深度图像的每个像素被标记为属于目标的前景像素或不属于目标的背景像素。每个前景像素用身体部分信息标记，指示该前景像素属于目标的一个或多个身体部位的可能性。目标用包括多个骨骼点的骨架建模，每个骨骼点包括从一个或多个前景像素的身体部位信息导出的三维位置。

10. 发明申请

US20100197390A1 POSE TRACKING PIPELINE 有权
标题翻译： POSE跟踪管道
公开(公告)号：US20100197390A1
公开(公告)日：2010-08-05
申请号：US12603437
申请日：2009-10-21
申请人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momim M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
发明人： Robert Matthew Craig , Tommer Leyvand , Craig Peeper , Momim M. Al-Ghosien , Matt Bronder , Oliver Williams , Ryan M. Geiss , Jamie Daniel Joseph Shotton , Johnny Lee , Mark Finocchio
IPC分类号： A63F13/00
CPC分类号： G06K9/00335 , A63F13/428 , A63F2300/1006 , A63F2300/1093 , G06F3/011 , G06F3/033 , G06K9/00369 , G06T17/10 , G06T19/00
摘要： A method of tracking a target includes receiving from a source an observed depth image of a scene including the target. Each pixel of the observed depth image is labeled as either a foreground pixel belonging to the target or a background pixel not belonging to the target. Each foreground pixel is labeled with body part information indicating a likelihood that that foreground pixel belongs to one or more body parts of the target. The target is modeled with a skeleton including a plurality of skeletal points, each skeletal point including a three dimensional position derived from body part information of one or more foreground pixels.
摘要翻译：跟踪目标的方法包括从源接收包括目标的场景的观测深度图像。观察到的深度图像的每个像素被标记为属于目标的前景像素或不属于目标的背景像素。每个前景像素用身体部分信息标记，指示该前景像素属于目标的一个或多个身体部位的可能性。目标用包括多个骨骼点的骨架建模，每个骨骼点包括从一个或多个前景像素的身体部位信息导出的三维位置。

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