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91. 发明申请

US20170068853A1 FAST AND ROBUST IDENTIFICATION OF EXTREMITIES OF AN OBJECT WITHIN A SCENE 有权
标题翻译：快速，可靠地识别场景中的对象
公开(公告)号：US20170068853A1
公开(公告)日：2017-03-09
申请号：US14844313
申请日：2015-09-03
申请人： gestigon GmbH
发明人： Sascha Klement , Florian Hartmann , Foti Coleca , Ibrahim Awada
IPC分类号： G06K9/00 , G06K9/62 , G06T7/60 , G06K9/46
CPC分类号： G06K9/00375 , G06K9/00 , G06K9/00201 , G06K9/00208 , G06K9/00335 , G06K9/00362 , G06K9/34 , G06K9/342 , G06K9/469 , G06K9/627 , G06K9/6296 , G06T7/66
摘要： Described herein are a system and method for identifying extremities of an object within a scene. The method comprises operating an image processing system to receive image data from a sensor. The image data represents an image of the scene with the object. The image data comprises a two-dimensional array of pixels and each pixel contains a depth value indicating distance from the sensor. The image processing system slices the image into slices. Each respective slice comprises those pixels with depth values that lie within a respective range of distances defined relative to a reference. For each of the slices, the method identifies one or more connected regions of pixels that are neighbors in the two-dimensional array of pixels. The method builds, based on the connected region of pixels that have been identified for the slices and depth information inherent to the respective slices, a graph consisting of interconnected nodes. The connected regions form the nodes of the graph and the nodes are interconnected in the graph based on their relative distance to the reference. Extremities of the object are determined based on the graph.
摘要翻译：这里描述了一种用于识别场景内的对象的四肢的系统和方法。该方法包括操作图像处理系统以从传感器接收图像数据。图像数据表示具有对象的场景的图像。图像数据包括像素的二维阵列，并且每个像素包含指示距离传感器的距离的深度值。图像处理系统将图像切片成切片。每个相应的切片包括深度值位于相对于基准定义的相应距离范围内的那些像素。对于每个切片，该方法识别在二维像素阵列中的邻近的像素的一个或多个连接的区域。该方法基于已经针对切片识别的像素的连接区域和相应切片固有的深度信息构建由互连节点组成的图形。连接的区域形成图的节点，并且节点在图中基于它们与参考的相对距离而互连。基于图形确定对象的四肢。

92. 发明申请

US20170061328A1 ENFORCED SPARSITY FOR CLASSIFICATION 审中-公开
标题翻译：执行分类的分类
公开(公告)号：US20170061328A1
公开(公告)日：2017-03-02
申请号：US15077873
申请日：2016-03-22
申请人： QUALCOMM Incorporated
发明人： Somdeb MAJUMDAR , Regan Blythe TOWAL
IPC分类号： G06N99/00 , G06N3/08
CPC分类号： G06N20/00 , G06K9/4628 , G06K9/6232 , G06K9/6267 , G06K9/627 , G06N3/08
摘要： An apparatus for classifying an input includes a classifier and a feature extractor. The feature extractor is configured to generate a feature vector based on the input. The feature vector is also configured to set a number of elements of the feature vector to zero to produce a sparse feature vector. The sparse feature vector has the same dimensions as the feature vector generated by the feature extractor. However, the sparse feature vector includes fewer non-zero elements than the feature vector generated by the feature extractor. The feature vector is further configured to forward the sparse feature vector to the classifier to classify the input.
摘要翻译：用于对输入进行分类的装置包括分类器和特征提取器。特征提取器被配置为基于输入生成特征向量。特征向量还被配置为将特征向量的多个元素设置为零以产生稀疏特征向量。稀疏特征向量与由特征提取器生成的特征向量具有相同的维度。然而，稀疏特征向量包括比由特征提取器生成的特征向量更少的非零元素。特征向量还被配置为将稀疏特征向量转发到分类器以对输入进行分类。

93. 发明授权

US09582729B2 Image-based detection of the boundary between a first part and a second part 有权
标题翻译：基于图像的检测第一部分和第二部分之间的边界
公开(公告)号：US09582729B2
公开(公告)日：2017-02-28
申请号：US14443203
申请日：2013-11-04
申请人： GE MEDICAL SYSTEMS GLOBAL TECHNOLOGY COMPANY, LLC
发明人： Takao Goto
IPC分类号： G06K9/00 , G06K9/46 , G01R33/54 , G01R33/56 , G06T7/00 , G06K9/62 , G01R33/565 , G01R33/567
CPC分类号： G06K9/4604 , G01R33/543 , G01R33/5608 , G01R33/56509 , G01R33/5676 , G06K9/46 , G06K9/627 , G06K2009/4666 , G06T7/0012 , G06T7/12 , G06T2207/10088 , G06T2207/30056 , G06T2207/30061
摘要： A detection apparatus for detecting the position of a boundary between a first part and a second part of a subject, includes a pixel extraction unit for extracting a plurality of candidate pixels acting as candidates for a pixel situated on the boundary on the basis of image data of a first section crossing the first part and the second part, and a pixel specification unit for specifying the pixel situated on the boundary from within the plurality of candidate pixels by using an identifier which has been prepared by using an algorithm of machine learning.
摘要翻译：用于检测被摄体的第一部分和第二部分之间的边界的位置的检测装置包括：像素提取单元，用于基于图像数据提取用作位于边界上的像素的候选的多个候选像素第一部分与第一部分和第二部分相交，以及像素指定单元，用于通过使用通过使用机器学习算法准备的标识符来指定位于多个候选像素内的边界上的像素。

94. 发明申请

US20170046568A1 SYSTEMS AND METHODS OF IDENTIFYING A GESTURE USING GESTURE DATA COMPRESSED BY PRINCIPAL JOINT VARIABLE ANALYSIS 审中-公开
标题翻译：使用主要联合可变分析压缩的数据数据识别手段的系统和方法
公开(公告)号：US20170046568A1
公开(公告)日：2017-02-16
申请号：US15240073
申请日：2016-08-18
申请人： ARB LABS INC.
发明人： Adrian BULZACKI
IPC分类号： G06K9/00 , A63F13/213 , A63F13/847 , G06K9/62
CPC分类号： G06K9/00342 , A63F13/213 , A63F13/847 , A63F2300/1087 , G06F3/011 , G06F3/017 , G06F3/0304 , G06K9/00335 , G06K9/00355 , G06K9/00711 , G06K9/46 , G06K9/6247 , G06K9/627
摘要： Systems and method described herein present techniques for identifying a gesture using gesture data compressed by principal joint variable analysis. A classifier of a gesture recognition system may receive a frame comprising a set of gesture data points identifying locations of body parts of a subject. The classifier may determining that a subset of the set of gesture data points is sufficient to recognize a first gesture. The subset may be stored into a database in reference to the first gesture. A recognizer may receive a new frame of new gesture data points identifying locations of body parts of a new subject. The recognizer may recognize that the gesture of the new subject corresponds to the first gesture responsive to comparing at least one new gesture data point from the new frame to at least one gesture data point of the subset.
摘要翻译：本文描述的系统和方法提供了使用通过主关节变量分析压缩的手势数据来识别手势的技术。手势识别系统的分类器可以接收包括识别被摄体的身体部位的位置的一组手势数据点的帧。分类器可以确定该组手势数据点的子集足以识别第一手势。该子集可以参照第一个手势存储到数据库中。识别器可以接收新的姿势数据点的新帧，以识别新对象的身体部位的位置。识别器可以认识到，响应于将来自新帧的至少一个新手势数据点与该子集的至少一个手势数据点进行比较，新对象的手势对应于第一手势。

95. 发明申请

US20170046567A1 Systems and Methods for Behavior Detection Using 3D Tracking and Machine Learning 审中-公开
标题翻译：使用3D跟踪和机器学习的行为检测系统和方法
公开(公告)号：US20170046567A1
公开(公告)日：2017-02-16
申请号：US15183747
申请日：2016-06-15
申请人： California Institute of Technology
发明人： Weizhe Hong , David J. Anderson , Pietro Perona
IPC分类号： G06K9/00 , G06K9/62 , A61B5/16 , A61B5/11 , A61B5/00 , G06T7/00 , H04N13/02
CPC分类号： G06K9/00335 , A61B5/0476 , A61B5/11 , A61B5/1114 , A61B5/1116 , A61B5/1123 , A61B5/1128 , A61B5/16 , A61B5/167 , A61B5/40 , A61B5/4848 , A61B5/7267 , A61B2503/40 , A61B2503/42 , G06F19/00 , G06F19/30 , G06K9/00369 , G06K9/46 , G06K9/6269 , G06K9/627 , G06T7/0004 , G06T7/174 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , H04N13/25 , H04N2013/0081
摘要： Systems and methods for performing behavioral detection using three-dimensional tracking and machine learning in accordance with various embodiments of the invention are disclosed. One embodiment of the invention involves a the classification application that directs a microprocessor to: identify at least a primary subject interacting with a secondary subject within a sequence of frames of image data including depth information; determine poses of the subjects; extract a set of parameters describing the poses and movement of at least the primary and secondary subjects; and detect a social behavior performed by at least the primary subject and involving at least the second subject using a classifier trained to discriminate between a plurality of social behaviors based upon the set of parameters describing poses and movement.
摘要翻译：公开了根据本发明的各种实施例的使用三维跟踪和机器学习来执行行为检测的系统和方法。本发明的一个实施例涉及一种分类应用，其指导微处理器：在包括深度信息的图像数据的帧序列内识别与次要对象交互的至少一个主要对象; 确定受试者的姿势; 提取描述至少主要和次要科目的姿势和运动的一组参数; 并且基于描述姿势和运动的参数集合来检测由至少主要受试者执行的社交行为并且使用被训练来区分多个社交行为的分类器至少涉及第二受试者。

96. 发明申请

US20160364630A1 Methods and Systems for Automatically Mapping Biopsy Locations to Pathology Results 审中-公开
标题翻译：用于自动映射活检位置到病理学结果的方法和系统
公开(公告)号：US20160364630A1
公开(公告)日：2016-12-15
申请号：US15179501
申请日：2016-06-10
申请人： Merge Healthcare Incorporated
发明人： Murray A. Reicher , Jon T. DeVries , Michael W. Ferro , Marwan Sati
IPC分类号： G06K9/62 , A61B10/02 , G06T11/00 , G06F19/00
CPC分类号： G06T7/0012 , A61B5/0033 , A61B5/0077 , A61B5/015 , A61B5/0402 , A61B5/055 , A61B5/4312 , A61B5/441 , A61B5/7267 , A61B10/02 , A61B34/10 , A61B2034/108 , A61B2090/373 , A61B2090/374 , A61B2090/3762 , A61B2090/378 , G06F3/0482 , G06F3/0488 , G06F17/241 , G06F17/2705 , G06F19/00 , G06F19/321 , G06F19/36 , G06K9/6227 , G06K9/6232 , G06K9/6256 , G06K9/6262 , G06K9/6269 , G06K9/627 , G06K9/66 , G06K2209/051 , G06N20/00 , G06T7/0014 , G06T11/008 , G06T2200/24 , G06T2207/10088 , G06T2207/20081 , G06T2207/30004 , G06T2207/30008 , G06T2207/30016 , G06T2207/30052 , G06T2207/30061 , G06T2207/30068 , G06T2207/30088 , G16H10/20 , G16H15/00 , G16H20/10 , G16H30/20 , G16H50/20 , G16H50/50
摘要： Methods and systems for automatically mapping biopsy locations to pathology results. One system includes a server including an electronic processor and an interface for communicating with at least one data source and at least one pathology result source. The electronic processor is configured to receive an image from the at least one data source over the interface. The electronic processor is also configured to receive a biopsy location. The biopsy location includes a three-dimensional position mapped to a position within the image. The electronic processor is also configured to automatically locate an electronic pathology result for the biopsy location within the at least one pathology result source over the interface. The electronic processor is also configured to generate an electronic correlation between the biopsy location and the electronic pathology result. The electronic processor is also configured to display the image with the biopsy location marked within the image.
摘要翻译：将活检位置自动映射到病理结果的方法和系统。一个系统包括包括电子处理器和用于与至少一个数据源和至少一个病理结果源通信的接口的服务器。电子处理器被配置为通过接口从所述至少一个数据源接收图像。电子处理器还被配置为接收活检位置。活检位置包括映射到图像内的位置的三维位置。电子处理器还被配置为通过界面自动定位至少一个病理结果源内的活检位置的电子病理学结果。电子处理器还被配置为在活检位置和电子病理学结果之间产生电子相关性。电子处理器还被配置为用标记在图像内的活检位置显示图像。

97. 发明授权

US09508026B2 System and a method for camera motion analysis and understanding from a video sequence 有权
标题翻译：系统和相机运动分析和视频序列的理解方法
公开(公告)号：US09508026B2
公开(公告)日：2016-11-29
申请号：US14321424
申请日：2014-07-01
申请人： IRIDA LABS S.A.
发明人： Ilias Theodorakopoulos , Nikos Fragoulis
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/627 , G06K9/00335 , G06K9/6272 , G06K9/6277 , G06K9/6286 , G06T7/2033 , G06T7/246 , G06T2207/10016
摘要： In the event that a moving body (e.g. a person, a car, etc.) is outfitted with a video camera or with a camera-equipped device (e.g. a tablet or a mobile phone), the system described in one aspect is able to understand the motion of the moving by analyzing the video frame sequence captured by the camera. This means that the system can categorize the motion of the body-carrying camera to one of several types (e.g., is this a person walking? is this a person running? etc.), understand the nature of the moving body holding the camera-equipped device (e.g. Is this a car?, Is this a person? etc.) and even to identify the moving body (which car?, which person? etc.).
摘要翻译：如果移动体（例如，人，汽车等）配备有摄像机或配备有相机的设备（例如，平板电脑或移动电话），则一方面描述的系统能够通过分析摄像机拍摄的视频帧序列来了解移动的动作。这意味着系统可以将身体携带摄像机的运动分类为几种类型之一（例如，这个人是走路的，这是一个人在跑吗？等等），了解保持相机的移动体的性质 - 装备的装置（例如这是一辆车，这是一个人吗？等等），甚至识别移动体（哪个车，哪个人？等）。

98. 发明申请

US20160342828A1 METHOD AND APPARATUS FOR RECOGNISING EXPRESSION USING EXPRESSION-GESTURE DICTIONARY 审中-公开
标题翻译：使用表达语言词典识别表达的方法和装置
公开(公告)号：US20160342828A1
公开(公告)日：2016-11-24
申请号：US15114445
申请日：2014-01-29
申请人： INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YEUNGNAM UNIVERSITY
发明人： Chan Su LEE , Ja Soon JANG
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00315 , G06K9/00288 , G06K9/6255 , G06K9/627
摘要： An apparatus for recognizing expression using an expression-gesture dictionary, includes a learning image acquisitor to obtain data from a learning expression, perform a normalization based on the data, track a change of a dense motion from a reference frame, and generate expression learning data, an expression-gesture dictionary and expression-gesture dictionary learner to represent and store a numerical value for expression recognition for each expression using a local support map in an image coordinate space for a motion flow with respect to a set of changes of the dense motion, an expression classifier learner to learn an expression classification for each expression based on a weight of data on the expression-gesture dictionary, a recognition image acquisitor to obtain data from a recognition target, and generate recognition data, and an expression recognizer to analyze an expression weight on the recognition data, and recognize an expression by the expression classifier learner.
摘要翻译：一种使用表情手势词典识别表达的装置，包括从学习表达获得数据的学习图像获取器，基于该数据执行归一化，跟踪来自参考帧的密集运动的改变，并且生成表达式学习数据表达手势字典和表情手势字典学习者，用于表示和存储用于每个表达式的表达式识别的数值，所述数值用于相对于密集运动的一组变化的运动流的图像坐标空间中的局部支持图表达式分类器学习者，基于表达式手势字典上的数据的权重，从识别目标获取数据的识别图像获取器，以及生成识别数据，以及表达识别器，分析每个表达式的表达分类表达权重对识别数据，并通过表达式分类器学习者识别表达式。

99. 发明申请

US20160307347A1 Pairing Fonts for Presentation 审中-公开
标题翻译：配对字体进行演示
公开(公告)号：US20160307347A1
公开(公告)日：2016-10-20
申请号：US14690260
申请日：2015-04-17
申请人： Monotype Imaging Inc.
发明人： Steve Matteson , Sampo Juhani Kaasila , Evan Scronce , Anand Vijay , Jitendra Kumar Bansal
IPC分类号： G06T11/60 , G06T1/20 , G06K9/62
CPC分类号： G06T11/60 , G06F17/214 , G06K9/6215 , G06K9/6267 , G06K9/627 , G06K9/6828 , G06N99/005 , G06T1/20
摘要： A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include attaining data representing features of a font capable of representing one or more glyphs. Operations also include determining a rating for pairing the font and at least one other font using machine learning, the features of the font, and one or more rules included in a set of rules.
摘要翻译：系统包括计算设备，其包括被配置为存储指令的存储器。该系统还包括执行指令以执行包括获得表示能够表示一个或多个字形的字体的特征的数据的指令的处理器。操作还包括使用机器学习，字体的特征以及包含在一组规则中的一个或多个规则来确定用于配对字体和至少一个其它字体的评级。

100. 发明授权

US09459626B2 Learning signs from vehicle probes 有权
标题翻译：从车辆探测器学习标志
公开(公告)号：US09459626B2
公开(公告)日：2016-10-04
申请号：US14567343
申请日：2014-12-11
申请人： HERE Global B.V.
发明人： Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vlad Zhukov , Xiaotao Zou
IPC分类号： G01C21/00 , G05D1/02 , G05D1/00 , G01C21/34
CPC分类号： G05D1/0221 , G01C21/32 , G01C21/3407 , G05D1/0088 , G05D2201/0212 , G06K9/00818 , G06K9/627 , G06K9/6287 , G08G1/0112 , G08G1/0129 , G08G1/0141 , G08G1/09623 , G08G1/096716 , G08G1/096725 , G08G1/096758 , G08G1/096791
摘要： Systems, methods, and apparatuses are disclosed for identifying road signs along a roadway segment from vehicle probe data. Probe data is received from vehicle sensors at a road segment, wherein the probe data includes observed static objects along the road segment. Road signs are identified within the observed static objects of the probe data using a logistic regression algorithm. The geographic location of the identified road signs are determined using a linear regression algorithm.
摘要翻译：公开了用于从车辆探测数据识别沿道路段的道路标志的系统，方法和装置。从路段的车辆传感器接收探测数据，其中探测数据包括沿着路段的观察到的静态物体。使用逻辑回归算法，在观察到的探测数据的静态对象内识别路标。使用线性回归算法确定所识别的路标的地理位置。

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