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公开(公告)号：US20160283816A1
公开(公告)日：2016-09-29
申请号：US14669212
申请日：2015-03-26
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Foram Manish PARADKAR , Yongmian ZHANG , Haisong GU
CPC classification number: H04N7/15 , G06F17/30516 , G06F17/3053 , G06F17/30598 , G06K9/00315 , G06K9/00335 , G06K9/00342 , G06K9/44 , G06K9/4604 , G06K9/469 , G06K9/6202 , G06K9/6267 , G06K9/6277
Abstract: A method, computer readable storage medium, and system are disclosed for improving communication productivity, comprising: capturing at least one three-dimensional (3D) stream of data on two or more subjects; extracting a time-series of skeletal data from the at least one 3D stream of data on the two or more subjects; and determining an engagement index between the two or more subjects by comparing the time-series of skeletal data on each of the two or more subjects over a time window.
Abstract translation: 公开了一种用于提高通信生产力的方法，计算机可读存储介质和系统，包括：捕获两个或多个主体上的至少一个三维（3D）数据流; 从所述两个或更多个对象上的所述至少一个3D数据流中提取时间序列的骨骼数据; 以及通过在时间窗上比较两个或多个被摄体中的每一个上的骨骼数据的时间序列来确定两个或更多个被摄体之间的接合索引。
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公开(公告)号：US20140145936A1
公开(公告)日：2014-05-29
申请号：US14090207
申请日：2013-11-26
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Haisong GU , Yongmian ZHANG
IPC: G06F3/01
CPC classification number: G06F3/017 , G06F3/005 , G06F3/011 , G06F3/0304 , G06K9/00342 , G06K9/6277
Abstract: A method for 3D gesture behavior recognition is disclosed, which includes detecting a behavior change of one or more attendees at a meeting and/or conference; classifying the behavior change; and performing an action based on the behavior change of the one or more attendees. Another method, system and computer readable medium for 3D gesture behavior recognition as disclosed, includes obtaining temporal segmentation of human motion sequences for one or more attendees; determining a probability density function of the temporal segmentations of the human motion sequences using a Parzen window density estimation model; computing a bandwidth for determination of a median absolute deviation; updating the Parzen window to adapt for changes in the motion sequences for the one or more attendees; and detecting actions based.
Abstract translation: 公开了一种用于3D手势行为识别的方法，其包括在会议和/或会议中检测一个或多个与会者的行为变化; 分类行为变化; 并且基于一个或多个参加者的行为改变来执行动作。 如所公开的用于3D手势行为识别的另一种方法，系统和计算机可读介质包括获得一个或多个与会者的人运动序列的时间分割; 使用Parzen窗口密度估计模型确定人类运动序列的时间分段的概率密度函数; 计算用于确定中值绝对偏差的带宽; 更新Parzen窗口以适应一个或多个与会者的运动顺序的变化; 并基于检测动作。
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公开(公告)号：US20170286760A1
公开(公告)日：2017-10-05
申请号：US15507735
申请日：2015-08-27
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Quentin AUGE , Yongmian ZHANG , Haisong GU
IPC: G06K9/00
CPC classification number: G06K9/00342 , G06K9/00201 , G06K9/00765
Abstract: A method, system and non-transitory computer readable medium are disclosed for recognizing gestures, the method includes capturing at least one three-dimensional (3D) video stream of data on a subject; extracting a time-series of skeletal data from the at least one 3D video stream of data; isolating a plurality of points of abrupt content change called temporal cuts, the plurality of temporal cuts defining a set of non-overlapping adjacent segments partitioning the time-series of skeletal data; identifying among the plurality of temporal cuts, temporal cuts of the time-series of skeletal data having a positive acceleration; and classifying each of the one or more pair of consecutive cuts with the positive acceleration as a gesture boundary.
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4.发明申请公开(公告)号：US20160252976A1
公开(公告)日：2016-09-01
申请号：US14632661
申请日：2015-02-26
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Yongmian ZHANG , Jingwen ZHU , Toshiki OHINATA , Haisong GU
CPC classification number: G06F3/0317 , G06F3/011 , G06F3/038 , G06K9/00375
Abstract: A method and system are disclosed for recognizing an object, the method including emitting one or more arranged patterns of infrared rays (IR) from an infrared emitter towards a projection region, the one or more arranged patterns of infrared rays forming unique dot patterns; mapping the one or more arranged patterns of infrared rays on the operation region to generate a reference image; capturing an IR image and a RGB image of an object with a wearable device, the wearable device including an infrared (IR) camera and a RGB camera; extracting IR dots from the IR image and determining a match between the extracted IR dots and the reference image; determining a position of the RGB image on the reference image; and mapping the position of the RGB image to a coordinate on the projection region.
Abstract translation: 公开了一种用于识别物体的方法和系统，该方法包括从红外发射器朝向投影区域发射一个或多个布置的红外线（IR）图案，所述一个或多个排列的红外线图案形成唯一的点图案; 将所述一个或多个布置的红外线图案映射在所述操作区域上以生成参考图像; 使用可穿戴装置拍摄对象的IR图像和RGB图像，所述可佩戴装置包括红外（IR）相机和RGB相机; 从IR图像提取IR点并确定提取的IR点和参考图像之间的匹配; 确定参考图像上的RGB图像的位置; 并将RGB图像的位置映射到投影区域上的坐标。
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公开(公告)号：US20150186713A1
公开(公告)日：2015-07-02
申请号：US14145132
申请日：2013-12-31
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Chen CAO , Yongmian ZHANG , Haisong GU
CPC classification number: G06K9/00342 , G06K9/00369 , G06K9/00718 , G06K9/00771 , G06K9/3241 , G06K9/4642 , G06K9/469 , G06K9/6212 , G06T7/20 , G06T2207/10016 , G06T2207/20076 , G06T2207/30196
Abstract: A method and system for recognizing behavior is disclosed, the method includes: capturing at least one video stream of data on one or more subjects; extracting body skeleton data from the at least one video stream of data; computing feature extractions on the extracted body skeleton data to generate a plurality of 3 dimensional delta units for each frame of the extracted body skeleton data; generating a plurality of histogram sequences for each frame by projecting the plurality of 3 dimensional delta units for each frame to a spherical coordinate system having a plurality of spherical bins; generating an energy map for each of the plurality of histogram sequences by mapping the plurality of spherical bins versus time; applying a Histogram of Oriented Gradients (HOG) algorithm on the plurality of energy maps to generate a single column vector; and classifying the single column vector as a behavior and/or emotion.
Abstract translation: 公开了一种用于识别行为的方法和系统，所述方法包括：在一个或多个主题上捕获至少一个视频数据流; 从所述至少一个视频数据流中提取身体骨骼数据; 对所提取的身体骨骼数据进行计算特征提取，以生成所提取的身体骨骼数据的每个帧的多个3维增量单位; 通过将每个帧的多个三维三角洲单元投影到具有多个球形仓的球面坐标系统来为每个帧生成多个直方图序列; 通过将所述多个球形仓相对于时间映射来生成所述多个直方图序列中的每一个的能量图; 在多个能量图上应用定向梯度（HOG）直方图以产生单列向量; 并将单列向量分类为行为和/或情感。
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Patent Agency Ranking
公开(公告)号：US20170318264A1
公开(公告)日：2017-11-02
申请号：US15472915
申请日：2017-03-29
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Ghassem TOFIGHI , Haisong GU
CPC classification number: H04N7/181 , G06K9/00771 , G06K9/209 , G06T7/292 , G06T2207/10021 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241 , H04N5/23238
Abstract: A method, a non-transitory computer readable medium, and a system are disclosed for observing one or more subjects. The method includes monitoring a space with at least one master sensor, wherein a plurality of secondary sensors are installed in the space, and wherein a number of the at least one master sensor is less than a number of the plurality of secondary sensors; detecting regions of interest based on input from the at least one master sensor; identifying one or more secondary sensors from the plurality of secondary sensors in the detected regions of interest; and recognizing activities in the detected regions of interest from the one or more secondary sensors.
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公开(公告)号：US20170091907A1
公开(公告)日：2017-03-30
申请号：US15252903
申请日：2016-08-31
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Jingwen ZHU , Yongmian ZHANG , Foram Manish PARADKAR , Haisong GU
CPC classification number: G06T5/002 , G06K9/0014 , G06T5/00 , G06T5/50 , G06T7/11 , G06T2207/10064 , G06T2207/20081 , G06T2207/20182 , G06T2207/20221 , G06T2207/30024
Abstract: A method, computer readable medium, and system are disclosed of enhancing cell images for analysis. The method includes performing a multi-thresholding process on a cell image to generate a plurality of images of the cell image; smoothing each component within each of the plurality of images; merging the smoothed components into a merger layer; classifying each of the components of the merged layer into convex cell regions and concave cell regions; combining the concave cell regions with a cell boundary for each of the corresponding concave cell regions to generate a smoothed shape profile for each of the concave cell regions; and generating an output image by combining the convex cell regions with the concave cell regions with smoothed shape profiles.
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公开(公告)号：US20170201717A1
公开(公告)日：2017-07-13
申请号：US15471386
申请日：2017-03-28
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Foram Manish PARADKAR , Yongmian ZHANG , Haisong GU
CPC classification number: H04N7/15 , G06F17/30516 , G06F17/3053 , G06F17/30598 , G06K9/00315 , G06K9/00335 , G06K9/00342 , G06K9/44 , G06K9/4604 , G06K9/469 , G06K9/6202 , G06K9/6267 , G06K9/6277
Abstract: A method, computer readable storage medium, and system are disclosed for improving communication productivity in a conference between two or more subjects, wherein at least one of the two or more subjects participates in the conference from a first location and one or more of the two or more subjects participate in the meeting from a second location. The method includes capturing, at least one first three-dimensional (3D) stream of data and at least one second three-dimensional (3D) stream of data on each of the two or more subjects participating in the conference; generating a synchrony score for the two or more subjects, wherein the synchrony score is calculated by comparing time series of skeletal data of each of the two or more subjects to one another for a defined period of time; and using the synchrony score to generate an engagement index between the two or more subjects.
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公开(公告)号：US20170127021A1
公开(公告)日：2017-05-04
申请号：US15339613
申请日：2016-10-31
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Maria FRANK , Ghassem TOFIGHI , Nandita NAYAK , Haisong GU
CPC classification number: H04N7/15 , G06K9/00302 , G06K9/00335 , G06K9/00375 , G06K9/00382 , G06K9/00389 , G06K9/6293 , G08B6/00 , G08B7/00 , G10L25/57 , H04N13/204 , H04N2013/0074
Abstract: A method is disclosed for detecting interaction between two or more participants in a meeting, which includes capturing at least one three-dimensional stream of data on the two or more participants; extracting a time-series of skeletal data from the at least one three-dimensional stream of data on the two or more participants; classifying the time-series of skeletal data for each of the two or more participants based on a plurality of body position classifiers; and calculating an engagement score for each of the two or more participants. In addition, a method is disclosed for improving a group interaction in a meeting, which includes calculating, for each of the two or more participants, an individual engagement state based on attitudes of the participant, wherein the individual engagement state is an engagement state of the participant to the meeting including an engaged state and a disengaged state.
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公开(公告)号：US20170091948A1
公开(公告)日：2017-03-30
申请号：US15253324
申请日：2016-08-31
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Foram Manish PARADKAR , Yongmian ZHANG , Jingwen ZHU , Haisong GU
CPC classification number: G06K9/4604 , G06K9/4671 , G06K9/52 , G06K9/6267 , G06K9/66 , G06K2009/4666 , G06T7/0002 , G06T7/11 , G06T7/13 , G06T7/194 , G06T7/60 , G06T7/73 , G06T2207/30024
Abstract: A method, a computer readable medium, and a system are disclosed for cell segmentation. The method including generating a binary mask from an input image of a plurality of cells, wherein the binary mask separates foreground cells from a background; classifying each of the cell regions of the binary mask into single cell regions, small cluster regions, and large cluster regions; performing, on each of the small cluster regions, a segmentation based on a contour shape of the small cluster region; performing, on each of the large cluster regions, a segmentation based on a texture in the large cluster regions; and outputting an image with cell boundaries.
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