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公开(公告)号：US20180137649A1
公开(公告)日：2018-05-17
申请号：US15711214
申请日：2017-09-21
Applicant: NEC Laboratories America, Inc.
Inventor： Samuel Schulter , Wongun Choi , Bharat Singh , Manmohan Chandraker
CPC classification number: G06T7/74 , B60W30/09 , B60W30/0956 , G06F3/0482 , G06K9/00744 , G06K9/00771 , G06K9/00785 , G06K9/00791 , G06K9/00805 , G06K9/3241 , G06N3/02 , G06T7/20 , G06T7/246 , G06T7/292 , G06T9/002 , G06T2200/28 , G06T2207/10016 , G06T2207/20084 , G06T2207/30232 , G06T2210/12 , G08B21/02
Abstract: A system and method are provided. The system includes an image capture device configured to capture a video sequence formed from a set of input image frames and including a set of objects. The system further includes a processor configured to detect the objects to form object detections and track the object detections over the input frames to form tracked detections. The processor is also configured to generate for a current input frame, responsive to conditions, a set of sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous input frame; and (ii) detection proposals for the object derived from the current frame. The processor is additionally configured to provide a user perceptible indication of the current location of the object, based on the set of sparse object proposals.
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222.发明申请公开(公告)号：US20180129869A1
公开(公告)日：2018-05-10
申请号：US15803292
申请日：2017-11-03
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Kihyuk Sohn , Manmohan Chandraker , Xi Peng
CPC classification number: G06K9/00295 , G06K9/00241 , G06K9/00255 , G06K9/00275 , G06K9/00288 , G06K9/00771 , G06K9/62 , G06N3/04 , G06N3/0454 , G06N3/08 , G08B13/19617 , G08B13/19697
Abstract: A computer-implemented method, system, and computer program product is provided for pose-invariant facial recognition. The method includes generating, by a processor using a recognition neural network, a rich feature embedding for identity information and non-identity information for each of one or more images. The method also includes generating, by the processor using a Siamese reconstruction network, one or more pose-invariant features by employing the rich feature embedding for identity information and non-identity information. The method additionally includes identifying, by the processor, a user by employing the one or more pose-invariant features. The method further includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the identified user in the one or more images.
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公开(公告)号：US20180025243A1
公开(公告)日：2018-01-25
申请号：US15637644
申请日：2017-06-29
Applicant: NEC Laboratories America, Inc. , NEC Hong Kong Limited
Inventor： Manmohan Chandraker , Xiang Yu , Eric Lau , Elsa Wong
CPC classification number: G06F21/32 , G06F21/6218 , G06F2221/2133 , G06K9/00221 , G06K9/00228 , G06K9/00255 , G06K9/00281 , G06K9/00288 , G06K9/00624 , G06K9/00791 , G06K9/00906 , G06K9/4652 , G06K9/66 , G06N99/005 , G07C9/00158 , G07C9/00166 , H04L63/0861 , H04L63/1483
Abstract: A login access control system is provided. The login access control system includes a camera configured to capture an input image of a subject purported to be a person and attempting to login to a system to access secure data. The login access control system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The login access control system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image regarding being authorized for access to the secure data and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.
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公开(公告)号：US20180025217A1
公开(公告)日：2018-01-25
申请号：US15637264
申请日：2017-06-29
Applicant: NEC Laboratories America, Inc. , NEC Hong Kong Limited
Inventor： Manmohan Chandraker , Xiang Yu , Eric Lau , Elsa Wong
IPC: G06K9/00
CPC classification number: G06F21/32 , G06F21/6218 , G06F2221/2133 , G06K9/00221 , G06K9/00228 , G06K9/00255 , G06K9/00281 , G06K9/00288 , G06K9/00624 , G06K9/00791 , G06K9/00906 , G06K9/4652 , G06K9/66 , G06N99/005 , G07C9/00158 , G07C9/00166 , H04L63/0861 , H04L63/1483
Abstract: A face recognition system and corresponding method are provided. The face recognition system includes a camera configured to capture an input image of a subject purported to be a person. The face recognition system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The face recognition system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.
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公开(公告)号：US20180025141A1
公开(公告)日：2018-01-25
申请号：US15637569
申请日：2017-06-29
Applicant: NEC Laboratories America, Inc. , NEC Hong Kong Limited
Inventor： Manmohan Chandraker , Xiang Yu , Eric Lau , Elsa Wong
CPC classification number: G06F21/32 , G06F21/6218 , G06K9/00221 , G06K9/00228 , G06K9/00255 , G06K9/00281 , G06K9/00288 , G06K9/00624 , G06K9/00791 , G06K9/00906 , G06K9/4652 , G06K9/66 , G06N99/005 , G07C9/00158 , G07C9/00166 , H04L63/0861 , H04L63/1483
Abstract: A machine access control system and corresponding method are provided. The machine access control system includes a camera configured to capture an input image of a subject purported to be a person associated with operating a particular workplace machine. The machine access control system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The machine access control system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image regarding being authorized to use the particular workplace machine and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.
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Patent Agency Ranking
公开(公告)号：US09600897B2
公开(公告)日：2017-03-21
申请号：US14525262
申请日：2014-10-28
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker , Du Tran
CPC classification number: G06T7/269 , G06T7/215 , G06T2207/10016 , G06T2207/10024 , G06T2207/20016 , G06T2207/20076 , G06T2207/20081 , G06T2207/30241 , H04N5/145 , H04N5/147
Abstract: A method to perform hiearchical video segmentation includes: defining voxels over a spatio-temporal video; grouping into segments contiguous voxels that display similar characteristics including similar appearance or motion; determining a trajectory-based feature that complements color and optical flow cues, wherein trajectory cues are probabilistically meaningful histograms combinable for use in a graph-based framework; and applying a max-margin module for cue combination that learns a supervised distance metric for region dissimilarity that combines color, flow and trajectory features.
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227.发明申请公开(公告)号：US20160140400A1
公开(公告)日：2016-05-19
申请号：US14882794
申请日：2015-10-14
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker , Chao-Yeh Chen , Wongun Choi
CPC classification number: G06K9/00785 , G06K9/00134 , G06K9/0014 , G06K9/00147 , G06K9/52 , G06K2209/05 , G06T7/207 , G06T7/246 , G06T7/251 , G06T7/579 , G06T2200/04 , G06T2207/20016 , G06T2207/20081 , G06T2207/30236 , G06T2207/30241 , G06T2207/30244 , G06T2207/30252 , G08G1/16 , G08G1/166
Abstract: Systems and methods are disclosed to provide an Advanced Warning System (AWS) for a driver of a vehicle, by capturing traffic scene types from a single camera video; generating real-time monocular SFM and 2D object detection from the single camera video; detecting a ground plane from the real-time monocular SFM and the 2D object detection; performing dense 3D estimation from the real-time monocular SFM and the 2D object detection; generating a joint 3D object localization from the ground plane and dense 3D estimation; and communicating a situation that requires caution to the driver.
Abstract translation: 公开了通过从单个摄像机视频捕获交通场景类型来为车辆的驾驶员提供高级警告系统（AWS）的系统和方法; 从单个摄像机视频生成实时单目SFM和2D对象检测; 从实时单目SFM和2D物体检测中检测地平面; 从实时单目SFM和2D物体检测执行密集3D估计; 从地平面生成联合3D物体定位和密集3D估计; 并向驾驶员传达需要警惕的情况。
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公开(公告)号：US09336600B2
公开(公告)日：2016-05-10
申请号：US14073794
申请日：2013-11-06
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker
CPC classification number: G06T7/0055 , G06T7/514 , G06T7/55
Abstract: Systems and methods are disclosed for determining three dimensional (3D) shape by capturing with a camera a plurality of images of an object in differential motion; derive a general relation that relates spatial and temporal image derivatives to BRDF derivatives; exploiting rank deficiency to eliminate BRDF terms and recover depth or normal for directional lighting; and using depth-normal-BRDF relation to recover depth or normal for unknown arbitrary lightings.
Abstract translation: 公开了用于通过用相机捕获差分运动中的对象的多个图像来确定三维（3D）形状的系统和方法; 导出将空间和时间图像衍生物与BRDF衍生物相关联的一般关系; 利用职级缺陷消除BRDF术语，恢复定向照明的深度或正常; 并使用深度正常BRDF关系恢复未知任意照明的深度或正常。
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229.发明申请公开(公告)号：US20150117709A1
公开(公告)日：2015-04-30
申请号：US14451280
申请日：2014-08-04
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker , Shiyu Song
CPC classification number: G06K9/00791 , G06K9/46 , G06K2009/4666
Abstract: A method for performing three-dimensional (3D) localization requiring only a single camera including capturing images from only one camera; generating a cue combination from sparse features, dense stereo and object bounding boxes; correcting for scale in monocular structure from motion (SFM) using the cue combination for estimating a ground plane; and performing localization by combining SFM, ground plane and object bounding boxes to produce a 3D object localization.
Abstract translation: 一种用于执行三维（3D）定位的方法，其仅需要单个相机，包括仅从一个相机捕获图像; 从稀疏特征，密集的立体声和物体边界框中产生提示组合; 使用用于估计接地平面的提示组合来校正来自运动的单眼结构（SFM）中的尺度; 并通过组合SFM，地平面和对象边界框来执行定位，以产生3D对象定位。
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230.发明申请公开(公告)号：US20150116597A1
公开(公告)日：2015-04-30
申请号：US14525262
申请日：2014-10-28
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker , Du Tran
CPC classification number: G06T7/269 , G06T7/215 , G06T2207/10016 , G06T2207/10024 , G06T2207/20016 , G06T2207/20076 , G06T2207/20081 , G06T2207/30241 , H04N5/145 , H04N5/147
Abstract: A method to perform hiearchical video segmentation includes: defining voxels over a spatio-temporal video; grouping into segments contiguous voxels that display similar characteristics including similar appearance or motion; determining a trajectory-based feature that complements color and optical flow cues, wherein trajectory cues are probabilistically meaningful histograms combinable for use in a graph-based framework; and applying a max-margin module for cue combination that learns a supervised distance metric for region dissimilarity that combines color, flow and trajectory features.
Abstract translation: 执行搜索视频分割的方法包括：在时空视频上定义体素; 分组显示类似特征（包括类似的外观或运动）的连续体素; 确定补充颜色和光流线索的基于轨迹的特征，其中轨迹提示是可组合地用于基于图的框架中的概率有意义的直方图; 并应用用于提示组合的最大边距模块，该模块组合学习区域不相似的监督距离度量，其组合颜色，流和轨迹特征。
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