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公开(公告)号：US09626581B2
公开(公告)日：2017-04-18
申请号：US14493044
申请日：2014-09-22
Applicant: General Electric Company
Inventor： Dashan Gao , Ting Yu , Li Guan , Yi Yao , Kedar Anil Patwardhan , Peter Henry Tu
CPC classification number: G06K9/46 , G06K9/00711 , G06K9/00771 , G06K9/00785 , G06K9/629 , G06T7/155 , G06T7/246 , G06T2207/10016
Abstract: A method for detecting and tracking a target includes detecting the target using a plurality of feature cues, fusing the plurality of feature cues to form a set of target hypotheses, tracking the target based on the set of target hypotheses and a scene context analysis, and updating the tracking of the target based on a target motion model.
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公开(公告)号：US20170076563A1
公开(公告)日：2017-03-16
申请号：US14854828
申请日：2015-09-15
Applicant: General Electric Company
Inventor： Marco Guerriero , Frederick Wilson Wheeler , Glen Peter Koste , Sachin Narahari Dekate , Peter Henry Tu
CPC classification number: G06F17/30424 , F17D5/06 , G01M3/002 , G01M3/243 , G01M3/2807
Abstract: According to some embodiments, a signal processing unit may receive distributed acoustic sensing data associated with a first set of a plurality of pipeline locations. The signal processing unit may also receive collected physical data representing a physical characteristic of a second set of a plurality of pipeline locations. The signal processing unit may then utilize a pipeline model having the distributed acoustic sensing data and collected physical data as inputs to automatically generate at least one alert indicating an increased probability of damage to the pipeline.
Abstract translation: 根据一些实施例，信号处理单元可以接收与多个管道位置的第一组相关联的分布式声学感测数据。 信号处理单元还可以接收表示多个管道位置的第二组的物理特性的收集的物理数据。 信号处理单元然后可以利用具有分布式声学感测数据和收集的物理数据作为输入的流水线模型，以自动生成至少一个警告，指示对管道的损害可能性增加。
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公开(公告)号：US09477905B2
公开(公告)日：2016-10-25
申请号：US14798160
申请日：2015-07-13
Applicant: General Electric Company
Inventor： Xiaoming Liu , Peter Henry Tu , Ya Xue
CPC classification number: G06K9/6206 , G06K9/00281 , G06K9/6224 , G06K9/623 , G06K9/6263
Abstract: A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.
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公开(公告)号：US11727125B2
公开(公告)日：2023-08-15
申请号：US16835683
申请日：2020-03-31
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Alberto Santamaria-Pang , Peter Henry Tu , Naresh Sundaram Iyer , Varish Mulwad , Guangliang Zhao
CPC classification number: G06F21/602 , G06F40/30 , G06F40/58 , G06N3/045
Abstract: Briefly, embodiments are directed to a system, method, and article for acquiring a symbol comprising a representation of input data. The symbol may be converted into an emergent language expression in an emergent language via processing of a first neural network. Transmission of the emergent language expression may be initiated over a communications network, where the emergent language comprises a language based on and specific to the input data. The emergent language expression may be translated back into the representation of the input data via processing of a second neural network.
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公开(公告)号：US20200175703A1
公开(公告)日：2020-06-04
申请号：US16783923
申请日：2020-02-06
Applicant: General Electric Company
Inventor： Ming-Ching Chang , Junli Ping , Eric Michael Gros , Arpit Jain , Peter Henry Tu
IPC: G06T7/55 , G01C11/02 , G05D1/00 , G06T17/00 , G06T7/521 , G05D1/10 , G06T5/00 , G06T7/00 , G08G5/00
Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
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Patent Agency Ranking
公开(公告)号：US20190066283A1
公开(公告)日：2019-02-28
申请号：US15684695
申请日：2017-08-23
Applicant: General Electric Company
Inventor： Eric Michael Gros , Junli Ping , Arpit Jain , Ming-Ching Chang , Peter Henry Tu
Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
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公开(公告)号：US09934358B2
公开(公告)日：2018-04-03
申请号：US15692182
申请日：2017-08-31
Applicant: General Electric Company
Inventor： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, Jr. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
CPC classification number: G16H40/20 , G06F19/00 , G06F19/321 , G06F19/3418 , G06Q10/00 , G08B21/245 , G16H10/60 , G16H30/20 , G16H80/00
Abstract: The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.
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公开(公告)号：US09830710B2
公开(公告)日：2017-11-28
申请号：US14970580
申请日：2015-12-16
Applicant: General Electric Company
Inventor： Peter Henry Tu , Jixu Chen , Yang Yu
CPC classification number: G06T7/13 , G06K9/00234 , G06K9/00268 , G06K9/4604 , G06K9/50 , G06K9/52 , G06K9/6267 , G06K2009/4666 , G06T7/0085 , G06T7/60 , G06T2207/20012 , G06T2207/20144 , G06T2207/30201
Abstract: A method includes receiving an image comprising a human head from an imaging device. Further, the method includes grouping one or more pixels of the image into one or more super pixels. Furthermore, the method includes generating a polar coordinate grid for the image, wherein the polar coordinate grid comprises one or more grid points. Additionally, the method includes labeling the one or more grid points as one of a face region, a hair region, and a background region based on tiered structure constraint. The method also includes labeling the one or more super pixels as one of the face region, the hair region, and the background region based on the one or more labels of the one or more grid points. Further, the method includes transmitting a notification comprising the one or more labels of the one or more super pixels.
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公开(公告)号：US20160140386A1
公开(公告)日：2016-05-19
申请号：US15002672
申请日：2016-01-21
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Ting Yu , Peter Henry Tu , Dashan Gao , Kunter Seref Akbay , Yi Yao
CPC classification number: G06K9/00362 , G06K9/00771 , G06K9/6218 , G06K9/6232 , G06K9/66 , G06T7/70
Abstract: A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.
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公开(公告)号：US09251421B2
公开(公告)日：2016-02-02
申请号：US13918905
申请日：2013-06-15
Applicant: General Electric Company
Inventor： Peter Henry Tu , Jens Rittscher , Li Guan
CPC classification number: G06K9/00671 , G06F17/30781 , G06K9/00718 , G06K9/00771 , G06K9/62 , G06K9/6224 , G06K9/6288
Abstract: In accordance with one aspect of the present technique, a method is disclosed. The method includes receiving a new video from one or more sensors and generating a new content graph (CG) based on the new video. The method also includes comparing the new CG with a plurality of prior CGs. The method further includes identifying a first portion of the new CG matching a portion of a first prior CG and a second portion of the new CG matching a portion of the second prior CG. The method further includes analyzing a first set of semantic annotations (SAs) associated with the portion of the first prior CG and a second set of SAs associated with the portion of the second prior CG. The method further includes generating a sequence of SAs for the new video based on the analysis of the first and the second set of SAs.
Abstract translation: 根据本技术的一个方面，公开了一种方法。 该方法包括从一个或多个传感器接收新的视频，并且基于新的视频生成新的内容图形（CG）。 该方法还包括将新的CG与多个先前的CG进行比较。 该方法还包括识别新CG匹配的第一部分，匹配第一先前CG的一部分和新CG匹配第二先前CG的一部分的第二部分。 该方法还包括分析与第一先前CG的部分相关联的第一组语义注释（SA）和与第二先前CG的部分相关联的第二组SA。 该方法还包括基于对第一和第二组SA的分析来生成用于新视频的SA序列。
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