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1. 发明授权

EP2171598B1 FUZZY CLASSIFICATION APPROACH TO FAULT PATTERN MATCHING 有权转让
标题翻译： FUZZY-KLASSIFIZIERUNGSANSATZ ZUM ABGLEICHEN VON FEHLERMUSTERN
公开(公告)号：EP2171598B1
公开(公告)日：2017-01-11
申请号：EP08827018.6
申请日：2008-08-01
申请人： GE Intelligent Platforms, Inc.
发明人： WEGERICH, Stephan , STOECKER, Chad , MARCELL, Richard
IPC分类号： G05B23/02 , G06K9/62 , G06N5/02
CPC分类号： G05B23/0278 , G05B23/0254 , G06K9/626 , G06N5/025

2. 发明公开

EP3071340A1 VERFAHREN ZUM ZUORDNEN VON OBJEKTEN ZU OBJEKTKLASSEN UND VORRICHTUNG ZUM SORTIEREN VON OBJEKTEN 有权转让
标题翻译：一种用于识别对象的对象类和设备技术分选物体
公开(公告)号：EP3071340A1
公开(公告)日：2016-09-28
申请号：EP14801991.2
申请日：2014-11-17
申请人： Siemens Aktiengesellschaft
发明人： LI, Zhe , SCHULTE-AUSTUM, Matthias , KRECH, Dietmar , PAETSCH, Holger , RAUH, Ingolf , VON DER NÜLL, Stephan
IPC分类号： B07C5/342
CPC分类号： G06K9/6281 , B07C5/342 , G06K9/00201 , G06K9/6202 , G06K9/626 , G06Q10/087
摘要： The invention relates to a method for associating objects (4) with object classes. In order to render the association efficient, an object (4) is optically captured, object characteristics (36) describing the object (4) are created from the optical data obtained therefrom, and the object characteristics (36) are compared with a plurality of class characteristics (32), each of which is characteristic of one of a plurality of object classes, and the object (4) is associated with an object class in accordance with the result (E) of the comparison.

3. 发明公开

EP2804111A4 APPARATUS FOR RECOGNIZING OBJECTS, APPARATUS FOR LEARNING CLASSIFICATION TREES, AND METHOD FOR OPERATING SAME 有权
标题翻译： DEVICE FOR识别对象，设备为学习和分类层级操作方法
公开(公告)号：EP2804111A4
公开(公告)日：2016-03-23
申请号：EP13735721
申请日：2013-01-09
申请人： SAMSUNG ELECTRONICS CO LTD
发明人： YOO BYUNG IN , CHOI CHANG KYU , LEE CHANG KYO , HAN JAE JOON
IPC分类号： G06F17/00 , G06K9/00 , G06K9/46 , G06K9/62 , G06T7/00
CPC分类号： G06T7/0046 , G06K9/00201 , G06K9/00335 , G06K9/00362 , G06K9/469 , G06K9/6212 , G06K9/624 , G06K9/626 , G06K9/6282 , G06T7/75 , G06T15/06 , G06T15/08 , G06T15/20 , G06T15/40 , G06T17/005 , G06T2200/24 , G06T2207/10028 , G06T2207/20048 , G06T2207/20081 , G06T2207/30196
摘要： An object recognition apparatus, a classification tree learning apparatus, an operation method of the object recognition apparatus, and an operation method of the classification tree learning apparatus are provided. The object recognition apparatus may include an input unit to receive, as an input, a depth image representing an object to be analyzed, and a processing unit to recognize a visible object part and a hidden object part of the object, from the depth image, using a classification tree.

4. 发明授权

EP1661059B1 SYSTEMS AND METHODS FOR ASSESSING DISORDERS AFFECTING FINE MOTOR SKILLS USING HANDWRITING RECOGNITION 有权
标题翻译：系统并需要评价疾病与该精细运动能力手写识别过程中的作用
公开(公告)号：EP1661059B1
公开(公告)日：2010-10-06
申请号：EP04778942.5
申请日：2004-07-21
申请人： Gannon Technologies Group
发明人： FRANKE, William E. , WALCH, Mark A.
IPC分类号： G06K9/00 , G06K9/62 , A61B5/16
CPC分类号： A61B5/00 , A61B5/1101 , A61B5/4076 , A61B5/4082 , A61B5/4088 , G06K9/00402 , G06K9/6228 , G06K9/626 , Y10S128/922 , Y10S128/923

5. 发明授权

EP1785899B1 Methods for identifying discrete populations (e.g. clusters) of data within a flow cytometer multi-dimensional data set 有权
标题翻译：一种用于在多维流式细胞术数据集，标识离散数据（例如，簇）的群体的方法
公开(公告)号：EP1785899B1
公开(公告)日：2008-08-27
申请号：EP06255789.7
申请日：2006-11-10
申请人： IDEXX Laboratories Inc
发明人： Thayer, Edward
IPC分类号： G06F19/00
CPC分类号： G01N15/1459 , G01N2015/008 , G01N2015/1006 , G01N2015/1402 , G01N2015/1477 , G06F19/00 , G06K9/00147 , G06K9/6226 , G06K9/626 , G16H50/20 , G16H50/70
摘要： Systems and methods for identifying populations of events in a multi-dimensional data set, e.g., seven dimensional flow cytometry data of a blood sample. The populations may, for example, be sets or clusters of data representing different white blood cell components in the sample. The methods use a library consisting of one or more one finite mixture models, each model component comprising parameters representing multi-dimensional Gaussian probability density functions, one density for each population of events expected in the data set. The methods further use an expert knowledge set comprising one or more data transformations for operation on the multi-dimensional data set and one or more logical statements. The transformations and logical statements encode a priori expectations as to the relationships between different event populations in the data set. The methods further use program code comprising instructions by which a processing unit such as a computer may operate on the multi-dimensional data, a finite mixture model selected from the library, and the expert knowledge set to thereby identify populations of events in the multi-dimensional data set.

6. 发明公开

EP1262376A1 A rules-based occupant classification system for airbag deployment 审中-公开
标题翻译： Ein auf Regeln basiertes Fahrzeuginsassenklassifizierungssystem zumAuslöseneines安全气囊
公开(公告)号：EP1262376A1
公开(公告)日：2002-12-04
申请号：EP02011343.7
申请日：2002-05-23
申请人： EATON CORPORATION
发明人： Baloch, Aijaz Ahmed , Usman, Ahmed , Asif, Muhammad , Afridi, Khuram Khan
IPC分类号： B60R21/01
CPC分类号： B60R21/01538 , B60R21/01556 , G06K9/00362 , G06K9/626 , G06T7/215 , G06T7/254
摘要： An occupant classification system (10) utilizes a rules-based expert system (44) to automatically classify the occupant (18) of a seat (20) for the purposes of airbag deployment. The invention provides users with the ability to create, test, and modify the image attributes or features used by the expert system (44) to classify occupants into one of several predefined occupant-type categories (48). Users are also provided the ability to create, test, and modify the processes utilizing those chosen features. The user of the invention designs the features and the algorithms used by the expert system classifier (44). A feature extractor (40) is used to extract features from an image of the occupant (18) and surrounding seat area (21), and the values (104) relating to those features are sent in a vector of features (42) to the expert system classifier (44). The expert system classifier (44) classifies the image of the occupant (18) according to the internal rules for that classifier (44). The resulting occupant-type classification (48) is sent to the confidence factor extractor (50), along with the vector of features (42). The confidence factor extractor (46) generates a confidence factor (50) indicating the probable accuracy of the occupant-type classification (48). The occupant-type classification (48) and confidence factor (50) are then sent to the airbag controller (36) so the airbag deployment system (30) can take the appropriate action. For embodiments involving multiple expert system classifiers (44), one weighted occupant-type classification (56) and one weighted confidence factor (58) are sent to the airbag controller (30).
摘要翻译：乘员分类系统利用基于规则的专家系统为了安全气囊部署的目的而自动分类座椅乘员。本发明使用户能够创建，测试和修改由专家系统使用的图像属性或“特征”，以将乘客分类为若干预定义的乘员类型类别之一。用户还可以使用这些选定的功能创建，测试和修改流程。本发明的用户设计专家系统分类器使用的特征和算法。特征提取器用于从乘员和周围座位区域的图像中提取特征，并且将与这些特征相关的值以特征向量发送到专家系统分类器。专家系统分类器根据该分类器的内部规则对乘员的图像进行分类。所产生的乘员类型分类与特征向量一起发送到置信因子提取器。置信因子提取器产生表示乘员类型分类的可能精度的置信因子。然后将乘员类型分类和置信因子发送到安全气囊控制器，使安全气囊展开系统能够采取适当的动作。对于涉及多个专家系统分类器的实施例，将一个加权乘员类型分类和一个加权置信因子发送到安全气囊控制器。

7. 发明公开

EP3008666A1 IMAGE BASED OBJECT CLASSIFICATION 有权
标题翻译： BILDBASIERTE OBJEKTKLASSIFIZIERUNG
公开(公告)号：EP3008666A1
公开(公告)日：2016-04-20
申请号：EP13731313.6
申请日：2013-06-13
申请人： Sicpa Holding SA
发明人： HEUSCH, Guillaume , PICAN, Nicolas
IPC分类号： G06K9/62 , G06T7/00
CPC分类号： G06K9/6255 , G06K9/46 , G06K9/626 , G06K9/6265 , G06K9/6269 , G06K9/6277 , G06K9/628 , G06K9/6285 , G06T7/0004 , G06T2207/30164
摘要： A method for classifying an object in image data to one out of a set of classes using a classifier, said image data comprising an image of the object, each class indicating a property common to a group of objects, the method comprising the steps of obtaining said classifier used to estimate for an input feature vector a probability for each of the set of classes, one probability indicating whether the input feature vector belongs to one class; extracting a feature vector from said image data; using the obtained classifier to estimate the probabilities for the extracted feature vector; and evaluating the estimated probabilities for determining whether the object does not belong to any one of the set of classes based using a quality indicator.
摘要翻译：一种用于使用分类器将图像数据中的对象分类为一组中的对象的方法，所述图像数据包括所述对象的图像，每个类指示一组对象的共同属性，所述方法包括以下步骤：获得所述分类器用于为输入特征向量估计每组类别的概率，一个概率表示输入特征向量是否属于一个类; 从所述图像数据中提取特征向量; 使用获得的分类器来估计提取的特征向量的概率; 以及基于使用质量指标来评估用于确定所述对象是否不属于所述一组类别中的任何一个的估计概率。

8. 发明公开

EP2494496A1 SENSOR-BASED MOBILE SEARCH, RELATED METHODS AND SYSTEMS 有权
标题翻译：移动搜索SENSOR基及相关方法和系统
公开(公告)号：EP2494496A1
公开(公告)日：2012-09-05
申请号：EP10830466.8
申请日：2010-10-28
申请人： Digimarc Corporation
发明人： RHOADS, Geoffrey, B. , RODRIGUEZ, Tony, F. , SHAW, Gilbert, B. , DAVIS, Bruce, L. , CONWELL, William, Y.
IPC分类号： G06K9/00
CPC分类号： G01B11/14 , G01C21/3629 , G06F3/011 , G06F3/016 , G06K9/00523 , G06K9/00993 , G06K9/626 , G06Q30/02 , H04M2250/12 , H04M2250/52 , H04N5/225 , H04W4/02
摘要： A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.

9. 发明公开

EP2267658A3 Shape detection system 失效
标题翻译： Formerkennungssystem
公开(公告)号：EP2267658A3
公开(公告)日：2012-05-02
申请号：EP10166071.0
申请日：2010-06-15
申请人： Kabushiki Kaisha Yaskawa Denki
发明人： Handa, Hiroyuki , Ichimaru, Yuji , Arie, Takeshi
IPC分类号： G06T7/00
CPC分类号： G06K9/626 , G06T7/73 , G06T2207/10028 , G06T2207/30164
摘要： A shape detection system includes a distance image sensor that detects an image of a plurality of detection objects and distances to the detection objects, the detection objects being randomly arranged in a container, a sensor controller (3) that detects a position and an orientation of each of the detection objects in the container on the basis of the result of the detection performed by the distance image sensor and a preset algorithm, and a user controller (104) that selects the algorithm to be used by the sensor controller (3) and sets the algorithm for the sensor controller (3).
摘要翻译：一种形状检测系统，包括检测多个检测对象的图像和到检测对象的距离的距离图像传感器，检测对象随机地排列在容器中，传感器控制器（3），其检测位置和方位基于由距离图像传感器执行的检测结果和预设算法的容器中的每个检测对象，以及选择要由传感器控制器（3）使用的算法的用户控制器（104）和设置传感器控制器（3）的算法。

10. 发明公开

EP2171598A4 FUZZY CLASSIFICATION APPROACH TO FAULT PATTERN MATCHING 有权转让
标题翻译：模糊分类法修剪模式的错误
公开(公告)号：EP2171598A4
公开(公告)日：2012-01-11
申请号：EP08827018
申请日：2008-08-01
申请人： SMARTSIGNAL CORP
发明人： WEGERICH STEPHAN , STOECKER CHAD , MARCELL RICHARD
IPC分类号： G05B23/02 , G06K9/62 , G06N5/02
CPC分类号： G05B23/0278 , G05B23/0254 , G06K9/626 , G06N5/025

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