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1. 发明申请

US20120005134A1 SPATIO-TEMPORAL LEARNING ALGORITHMS IN HIERARCHICAL TEMPORAL NETWORKS 有权
标题翻译：分层时域网络中的时空学习算法
公开(公告)号：US20120005134A1
公开(公告)日：2012-01-05
申请号：US13227355
申请日：2011-09-07
申请人： Robert G. Jaros , Jeffrey L. Edwards , Dileep George , Jeffrey C. Hawkins
发明人： Robert G. Jaros , Jeffrey L. Edwards , Dileep George , Jeffrey C. Hawkins
IPC分类号： G06F15/18
CPC分类号： G06N3/08 , G06N3/049
摘要： A spatio-temporal learning node is a type of HTM node which learns both spatial and temporal groups of sensed input patterns over time. Spatio-temporal learning nodes comprise spatial poolers which are used to determine spatial groups in a set of sensed input patterns. The spatio-temporal learning nodes further comprise temporal poolers which are used to determine groups of sensed input patterns that temporally co-occur. A spatio-temporal learning network is a hierarchical network including a plurality of spatio-temporal learning nodes.
摘要翻译：时空学习节点是一种HTM节点，可随时间学习感测输入模式的空间和时间组。空间学习节点包括用于确定一组感测输入模式中的空间组的空间分组器。时空学习节点还包括用于确定时间上共同发生的感测输入模式的组的时间分组器。时空学习网络是包括多个时空学习节点的分层网络。

2. 再颁专利

USRE42256E1 Method and apparatus for performing a clean background subtraction 失效
标题翻译：执行清洁背景减法的方法和装置
公开(公告)号：USRE42256E1
公开(公告)日：2011-03-29
申请号：US12351762
申请日：2009-01-09
申请人： Jeffrey L. Edwards
发明人： Jeffrey L. Edwards
IPC分类号： G06K9/34 , G06K9/46 , G06K9/20 , G06K9/32
CPC分类号： G06K9/00369 , G06T7/12 , G06T7/194 , G06T2207/20164
摘要： A background subtraction apparatus of the present invention includes a key point locator for locating key points on a known object type, a boundary point locator for locating boundary points of the known object that make up the edges of the known object, and an edge processor for processing the edges to provide a clean-edged extraction of the known object from a background image. Preferably, the key point locator includes an alignment detector for detecting alignment of an image of the known object type with a skeleton image. Still more preferably, the skeleton image is an exoskeleton image and the known object type is a human being.
摘要翻译：本发明的背景减法装置包括用于定位已知对象类型上的关键点的关键点定位器，用于定位构成已知对象的边缘的已知对象的边界点的边界点定位器，以及用于处理边缘以从背景图像提供已知对象的干净边缘提取。优选地，关键点定位器包括用于检测已知对象类型的图像与骨架图像的对准的对准检测器。更优选地，骨骼图像是外骨骼图像，已知的对象类型是人类。

3. 发明申请

US20090297115A1 Identification of blank segments in a set of visual recording data 审中-公开
公开(公告)号：US20090297115A1
公开(公告)日：2009-12-03
申请号：US12454548
申请日：2009-05-18
申请人： Michele M. Covell , Harold G. Sampson , Jeffrey L. Edwards
发明人： Michele M. Covell , Harold G. Sampson , Jeffrey L. Edwards
IPC分类号： H04N5/91
CPC分类号： G11B27/024 , G06F16/785 , G11B27/28
摘要： The invention identifies a blank segment (i.e., a segment that does not correspond to recorded visual content) in a set of visual recording data. The invention identifies a blank segment using a blank frame detector that is adapted to evaluate a frame of visual recording data to determine whether the frame of visual recording data is a blank frame, and a blank segment detector that is adapted to evaluate a characteristic of a group of frames of visual recording data to determine whether the group of frames of visual recording data is a blank segment comprising a plurality of blank frames. Identification of a blank segment can be used to, for example, decide whether to terminate digitization of a set of analog visual recording data.

4. 发明授权

US07162082B2 Method and apparatus for performing a clean background subtraction 有权
标题翻译：执行清洁背景减法的方法和装置
公开(公告)号：US07162082B2
公开(公告)日：2007-01-09
申请号：US10126479
申请日：2002-04-18
申请人： Jeffrey L. Edwards
发明人： Jeffrey L. Edwards
IPC分类号： G06K9/34 , G06K9/46 , G06K9/20 , G06K9/32
CPC分类号： G06K9/00369 , G06T7/12 , G06T7/194 , G06T2207/20164
摘要： A background subtraction apparatus of the present invention includes a key point locator for locating key points on a known object type, a boundary point locator for locating boundary points of the known object that make up the edges of the known object, and an edge processor for processing the edges to provide a clean-edged extraction of the known object from a background image. Preferably, the key point locator includes an alignment detector for detecting alignment of an image of the known object type with a skeleton image. Still more preferably, the skeleton image is an exoskeleton image and the known object type is a human being.
摘要翻译：本发明的背景减法装置包括用于定位已知对象类型上的关键点的关键点定位器，用于定位构成已知对象的边缘的已知对象的边界点的边界点定位器，以及用于处理边缘以从背景图像提供已知对象的干净边缘提取。优选地，关键点定位器包括用于检测已知对象类型的图像与骨架图像的对准的对准检测器。更优选地，骨骼图像是外骨骼图像，已知的对象类型是人类。

5. 发明授权

US06489989B1 System, method and article of manufacture for executing a video setup protocol 有权
标题翻译：用于执行视频设置协议的系统，方法和制品
公开(公告)号：US06489989B1
公开(公告)日：2002-12-03
申请号：US09397496
申请日：1999-09-15
申请人： Nella Shapiro , Jeffrey L. Edwards
发明人： Nella Shapiro , Jeffrey L. Edwards
IPC分类号： H04N1700
CPC分类号： H04N17/002 , H04N5/232
摘要： A system, method and article of manufacture are provided for executing a setup protocol. A camera and a visual display device are coupled to a computer. Images are generated by the camera upon activation of the camera. A series of setup tests are then conducted on the images generated by the camera to determine whether the camera and surrounding environmental elements satisfy predetermined criteria of an intended computer vision application for optimal running of the intended computer vision application on the computer. The series of setup tests comprises at least one setup test selected from a library of setup tests.
摘要翻译：提供了用于执行设置协议的系统，方法和制造。相机和视觉显示装置耦合到计算机。相机激活后，相机会产生图像。然后对由相机生成的图像进行一系列设置测试，以确定相机和周围环境元素是否满足预期的计算机视觉应用的预定标准，以在计算机上最佳运行预期的计算机视觉应用。一系列设置测试包括从设置测试库中选择的至少一个设置测试。

6. 发明授权

US08732098B2 Hierarchical temporal memory (HTM) system deployed as web service 有权
标题翻译：分层时间内存（HTM）系统部署为Web服务
公开(公告)号：US08732098B2
公开(公告)日：2014-05-20
申请号：US13415713
申请日：2012-03-08
申请人： Subutai Ahmad , Dileep George , Jeffrey L. Edwards , William C. Saphir , Frank Astier , Ronald Marianetti
发明人： Subutai Ahmad , Dileep George , Jeffrey L. Edwards , William C. Saphir , Frank Astier , Ronald Marianetti
IPC分类号： G06N3/04 , G06N3/08
CPC分类号： H04L67/42 , G06K9/00979 , G06K9/66 , G06N3/04 , G06N3/08 , H04L51/12 , H04L67/02 , H04L67/1017 , H04L67/1097
摘要： A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server.
摘要翻译：一种基于网络的分级时间存储器（HTM）系统，其中一个或多个客户端设备经由通信网络与远程服务器进行通信。远程服务器至少包括用于实现分级时间存储器（HTM）的HTM服务器。客户端设备生成包括模式和序列的输入数据，并将输入数据发送到远程服务器进行处理。远程服务器（特别是HTM服务器）执行处理以确定输入数据的原因，并将该处理的结果发送给客户端设备。客户端设备不需要具有用于运行HTM的处理和/或存储能力，但仍然可以通过向HTM服务器提交请求来利用HTM。

7. 发明授权

US06545706B1 System, method and article of manufacture for tracking a head of a camera-generated image of a person 有权
标题翻译：用于跟踪人的相机生成图像的头部的系统，方法和制品
公开(公告)号：US06545706B1
公开(公告)日：2003-04-08
申请号：US09364859
申请日：1999-07-30
申请人： Jeffrey L. Edwards , Katerina H. Nguyen
发明人： Jeffrey L. Edwards , Katerina H. Nguyen
IPC分类号： H04N718
CPC分类号： G06T7/246
摘要： A system, method and article of manufacture are provided for tracking a head portion of a person image in video images. Upon receiving video images, a first head tracking operation is executed for generating a first confidence value. Such first confidence value is representative of a confidence that a head portion of a person image in the video images is correctly located. Also executed is a second head tracking operation for generating a second confidence value representative of a confidence that the head portion of the person image in the video images is correctly located. The first confidence value and the second confidence value are then outputted. Subsequently, the depiction of the head portion of the person image in the video images is based on the first confidence value and the second confidence value.
摘要翻译：提供了一种用于跟踪视频图像中的人物图像的头部的系统，方法和制品。在接收到视频图像时，执行第一头跟踪操作以产生第一置信度值。这样的第一置信度值表示视频图像中的人物图像的头部正确定位的置信度。还执行第二头跟踪操作，用于产生代表视频图像中的人物图像的头部正确定位的置信度的第二置信度值。然后输出第一置信度值和第二置信度值。随后，视频图像中的人物图像的头部的描绘基于第一置信度值和第二置信度值。

8. 发明申请

US20120166364A1 Hierarchical Temporal Memory (HTM) System Deployed as Web Service 有权
标题翻译：分层时间内存（HTM）系统部署为Web服务
公开(公告)号：US20120166364A1
公开(公告)日：2012-06-28
申请号：US13415713
申请日：2012-03-08
申请人： Subutai Ahmad , Dileep George , Jeffrey L. Edwards , William C. Saphir , Frank Astier , Ronald Marianetti
发明人： Subutai Ahmad , Dileep George , Jeffrey L. Edwards , William C. Saphir , Frank Astier , Ronald Marianetti
IPC分类号： G06N5/04 , G06F15/16 , G06F15/18
CPC分类号： H04L67/42 , G06K9/00979 , G06K9/66 , G06N3/04 , G06N3/08 , H04L51/12 , H04L67/02 , H04L67/1017 , H04L67/1097
摘要： A web-based hierarchical temporal memory (HTM) system in which one or more client devices communicate with a remote server via a communication network. The remote server includes at least a HTM server for implementing a hierarchical temporal memory (HTM). The client devices generate input data including patterns and sequences, and send the input data to the remote server for processing. The remote server (specifically, the HTM server) performs processing in order to determine the causes of the input data, and sends the results of this processing to the client devices. The client devices need not have processing and/or storage capability for running the HTM but may nevertheless take advantage of the HTM by submitting a request to the HTM server.
摘要翻译：一种基于网络的分级时间存储器（HTM）系统，其中一个或多个客户端设备经由通信网络与远程服务器进行通信。远程服务器至少包括用于实现分级时间存储器（HTM）的HTM服务器。客户端设备生成包括模式和序列的输入数据，并将输入数据发送到远程服务器进行处理。远程服务器（特别是HTM服务器）执行处理以确定输入数据的原因，并将该处理的结果发送给客户端设备。客户端设备不需要具有用于运行HTM的处理和/或存储能力，但仍然可以通过向HTM服务器提交请求来利用HTM。

9. 发明授权

US07536078B2 Identification of blank segments in a set of visual recording data 失效
公开(公告)号：US07536078B2
公开(公告)日：2009-05-19
申请号：US10083676
申请日：2002-02-25
申请人： Michele M. Covell , Harold G. Sampson , Jeffrey L. Edwards
发明人： Michele M. Covell , Harold G. Sampson , Jeffrey L. Edwards
IPC分类号： H04N5/91 , H04N5/14
CPC分类号： G11B27/024 , G06F17/30802 , G11B27/28
摘要： The invention identifies a blank segment (i.e., a segment that does not correspond to recorded visual content) in a set of visual recording data. The invention identifies a blank segment using a blank frame detector that is adapted to evaluate a frame of visual recording data to determine whether the frame of visual recording data is a blank frame, and a blank segment detector that is adapted to evaluate a characteristic of a group of frames of visual recording data to determine whether the group of frames of visual recording data is a blank segment comprising a plurality of blank frames. Identification of a blank segment can be used to, for example, decide whether to terminate digitization of a set of analog visual recording data.

10. 发明授权

US06909455B1 System, method and article of manufacture for tracking a head of a camera-generated image of a person 有权
公开(公告)号：US06909455B1
公开(公告)日：2005-06-21
申请号：US10353858
申请日：2003-01-28
申请人： Jeffrey L. Edwards , Katerina H. Nguyen
发明人： Jeffrey L. Edwards , Katerina H. Nguyen
IPC分类号： G06T7/20 , H04N7/18
CPC分类号： G06T7/246
摘要： A system, method and article of manufacture are provided for tracking a head portion of a person image in video images. Upon receiving video images, a first head tracking operation is executed for generating a first confidence value. Such first confidence value is representative of a confidence that a head portion of a person image in the video images is correctly located. Also executed is a second head tracking operation for generating a second confidence value representative of a confidence that the head portion of the person image in the video images is correctly located. The first confidence value and the second confidence value are then outputted. Subsequently, the depiction of the head portion of the person image in the video images is based on the first confidence value and the second confidence value.

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