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公开(公告)号：US09465997B2
公开(公告)日：2016-10-11
申请号：US13627629
申请日：2012-09-26
Applicant: General Electric Company
Inventor： Jilin Tu , Yi Xu , Ana Isabel Del Amo , Thomas Baby Sebastian
CPC classification number: G06K9/00771 , G06K9/00342 , G06K9/6292 , G06T7/187 , G06T7/254 , G06T2207/10016 , G06T2207/30236
Abstract: A method implemented using a processor based device is disclosed. The method includes receiving a video stream comprising a plurality of image frames having at least one moving object, determining a difference between at least two image frames among the plurality of image frames and generating a difference image comprising a plurality of image blobs corresponding to the at least one moving object. The method further includes generating a plurality of bounding boxes, each bounding box surrounding at least one corresponding image blob among the plurality of image blobs, and determining a subset of bounding boxes among the plurality of bounding boxes, associated with the corresponding moving object, using a fuzzy technique based on a perceptual characterization of the subset of bounding boxes. The method also includes merging the subset of bounding boxes to generate a merged bounding box enclosing the subset of bounding boxes to detect the moving object.
Abstract translation: 公开了一种使用基于处理器的设备实现的方法。 该方法包括接收包括具有至少一个运动对象的多个图像帧的视频流，确定多个图像帧中的至少两个图像帧之间的差异，并生成包括对应于该图像帧的多个图像斑点的差分图像 至少一个移动物体。 该方法还包括生成多个边界框，每个边界框围绕多个图像斑点中的至少一个相应的图像斑点，以及使用与相应的运动对象相关联的多个边界框中的边界框的子集，使用 基于对包围子集的感知表征的模糊技术。 该方法还包括合并边界框的子集以生成包围边界子集的合并边界框以检测移动对象。
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公开(公告)号：US11373069B2
公开(公告)日：2022-06-28
申请号：US16824917
申请日：2020-03-20
Applicant: General Electric Company
Inventor： Peter Henry Tu , Tao Gao , Alexander S-Ban Chen , Jilin Tu
Abstract: An analogy generating system includes one or more image databases that include a first set of images depicting a first symbolic class and a second set of images depicting a second symbolic class and an autoencoder that receive images from the first set of images and the second set of images; determines a first characteristic shared between the first symbolic class and the second symbolic class using a first node from multiple nodes on a neural network; determine a second characteristic shared between the first symbolic class and the second symbolic class using a second node from multiple nodes on the neural network; and exchange the first characteristic and the second characteristic between the first node and the second node to establish an analogy between the first symbolic class and the second symbolic class.
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公开(公告)号：US10970586B2
公开(公告)日：2021-04-06
申请号：US16022160
申请日：2018-06-28
Applicant: General Electric Company
Inventor： Huan Tan , Gyeong Woo Cheon , Jilin Tu , Li Zhang
IPC: G06K9/46 , B25J9/16 , G06K9/00 , G06F16/583 , G06T7/00
Abstract: A method and system, the method including receive image data representations of a set of images of a physical asset; receive a data model of at least one asset, the data model of each of the at least one assets including a semantic description of the respective modeled asset and at least one operation associated with the respective modeled asset; determine a match between the received image data and the data model of one of the at least one assets based on a correspondence therebetween; generate, for the data model determined to be a match with the received image data, an operation plan based on the at least one operation included in matched data model; execute, in response to the generation of the operation plan, the generated operation plan by the physical asset.
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Patent Agency Ranking
公开(公告)号：US10445565B2
公开(公告)日：2019-10-15
申请号：US15370746
申请日：2016-12-06
Applicant: General Electric Company
Inventor： Peter Henry Tu , Tao Gao , Jilin Tu
Abstract: Provided are techniques for assessing individual or crowd level behavior based on image data analysis. For example, in one embodiment, the techniques may include generating signatures representative of an observed behavior based on video data and performing pairwise matching by determining whether the first signature matches a second signature indicative of a query behavior.
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公开(公告)号：US20190139438A1
公开(公告)日：2019-05-09
申请号：US15807688
申请日：2017-11-09
Applicant: General Electric Company
Inventor： Peter Henry Tu , Tao Gao , Jilin Tu
Abstract: A social interaction system and of operation thereof for interpreting social cues and using such analysis to improve social interaction via the providing of a suggested response is provided. The social interaction system includes one or more sensors to obtain social indicator data of one or more individuals in an environment during a social interaction, the social indicator data related to a behavior of the one or more individuals. The social interaction system also includes a processing system configured to determine a social state of the one or more individuals using the social indicator data and determine an optimal social response of a person to the social interaction based on an analysis of the social state. The social interaction system further includes a feedback system to indicate the optimal social response to the person.
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公开(公告)号：US10216983B2
公开(公告)日：2019-02-26
申请号：US15370736
申请日：2016-12-06
Applicant: General Electric Company
Inventor： Peter Henry Tu , Tao Gao , Jilin Tu
Abstract: A security monitoring technique includes receiving data related to one or more individuals from one or more cameras in an environment. Based on the input data from the cameras, agent-based simulators are executed that each operate to generate a model of behavior of a respective individual, wherein an output of each model is symbolic sequences representative of internal experiences of the respective individual during simulation. Based on the symbolic sequences, a subsequent behavior for each of the respective individuals is predicted when the symbolic sequences match a query symbolic sequence for a query behavior.
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公开(公告)号：US20180157902A1
公开(公告)日：2018-06-07
申请号：US15370736
申请日：2016-12-06
Applicant: General Electric Company
Inventor： Peter Henry Tu , Tao Gao , Jilin Tu
CPC classification number: G06K9/00335 , A61B5/0013 , A61B5/0022 , A61B5/0077 , A61B5/165 , A61B5/742 , A61B5/746 , A61B5/747 , A61B2576/00 , G06K9/00281 , G06K9/00302 , G06K9/0055 , G06K9/0061 , G06K9/00718 , G06K9/00778 , G06K9/6277 , G06N3/0445 , G06N3/049 , G06N99/005 , G06T7/277
Abstract: A security monitoring technique includes receiving data related to one or more individuals from one or more cameras in an environment. Based on the input data from the cameras, agent-based simulators are executed that each operate to generate a model of behavior of a respective individual, wherein an output of each model is symbolic sequences representative of internal experiences of the respective individual during simulation. Based on the symbolic sequences, a subsequent behavior for each of the respective individuals is predicted when the symbolic sequences match a query symbolic sequence for a query behavior.
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公开(公告)号：US20150339810A1
公开(公告)日：2015-11-26
申请号：US14282296
申请日：2014-05-20
Applicant: General Electric Company
Inventor： Ser Nam Lim , Jilin Tu , Li Guan , Craig Ronald Hoffmann
CPC classification number: G06T7/001 , G06K9/46 , G06K9/4642 , G06K9/4671 , G06K9/52 , G06K9/62 , G06K9/6215 , G06K9/6218 , G06K9/6267 , G06K2209/19 , G06T2207/10016 , G06T2207/30164
Abstract: A method and system for detecting a damaged machine component during operation of the machine are provided. The damaged machine component detection system includes one or more processors, one or more memory devices communicatively coupled to the one or more processors, an image capture device configured to generate a stream of temporally-spaced images of a scene including a machine component of interest, the images generated in real-time, and a grouping model configured to compare features of a current image of the stream of images to features of previously captured images sorted into a plurality of groups of images having similar features, generate an alert if predetermined features of the current image deviate from corresponding features of the grouped images by a predetermined amount, and update the groups with the current image if the predetermined features of the current image are similar to corresponding features of the grouped images by a predetermined amount. The system also includes an output device configured to output at least one of the alert and the current image.
Abstract translation: 提供了一种用于在机器运行期间检测损坏的机器部件的方法和系统。 损坏的机器部件检测系统包括一个或多个处理器，通信地耦合到一个或多个处理器的一个或多个存储器设备，被配置为生成包括感兴趣的机器部件的场景的时间间隔图像的图像捕获设备， 实时生成的图像，以及分组模型，其被配置为将图像流的当前图像的特征与排列成具有相似特征的多组图像的先前拍摄图像的特征进行比较，如果预定特征 如果当前图像的预定特征与分组图像的对应特征类似于预定量，则当前图像与分组图像的相应特征偏离预定量，并且更新具有当前图像的组。 该系统还包括被配置为输出警报和当前图像中的至少一个的输出设备。
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