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公开(公告)号：US11315363B2
公开(公告)日：2022-04-26
申请号：US17155350
申请日：2021-01-22
Inventor： Xiaoming Liu , Jian Wan , Kwaku Prakah-Asante , Mike Blommer , Ziyuan Zhang , Luan Tran , Xi Yin , Yousef Atoum
Abstract: Gait, the walking pattern of individuals, is one of the most important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body models as the gait features. These methods suffer from degraded recognition performance when handling confounding variables, such as clothing, carrying and view angle. To remedy this issue, a novel AutoEncoder framework is presented to explicitly disentangle pose and appearance features from RGB imagery and a long short-term memory integration of pose features over time produces the gait feature.
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公开(公告)号：US11137462B2
公开(公告)日：2021-10-05
申请号：US15620545
申请日：2017-06-12
Inventor： Erik Shapiro , Muhammad Jamal Afridi , Arun Ross , Xiaoming Liu
Abstract: A system and method are provided for tracking magnetically-labeled substances, such as transplanted cells, in subjects using magnetic resonance imaging (MRI). The method includes obtaining a quantity of a substance that comprises an MRI contrast compound or is otherwise magnetically-labeled for purposes of an MRI scan, administering the substance into a region of interest of a subject, performing an imaging scan of a portion of the subject comprising the region of interest, obtaining an imaging data set from the scan, reducing the dataset into pixel groupings based on intensity profiles, where the pixel groupings have a pixel size larger than the expected pixel size of a unit of the MRI contrast compound or magnetically-labeled substance, extracting candidate pixel matrices from the imaging data, training a machine learning (ML) module by using the candidate pixel matrices, quantifying the presence, number and/or location of units of the substance within the subject by using the ML module, and displaying a visual representation of an identification of the substances within the subject as a result of using the ML module.
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公开(公告)号：US10332002B2
公开(公告)日：2019-06-25
申请号：US15470159
申请日：2017-03-27
Inventor： Michael Bliss , Yunfei Zhang , Xiaoming Liu , Yousef Atoum , Joseph Roth
Abstract: A method and apparatus for providing trailer information are provided. The method includes detecting a p coupler of the trailer in the image of the rear-facing camera; detecting a position of the coupler in the received image; and determining a distance between the detected position of the coupler of the trailer and a hitch of vehicle. The method may be use to display information about a trailer coupler or guide a vehicle to line up a vehicle hitch to a trailer coupler.
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公开(公告)号：US20170356976A1
公开(公告)日：2017-12-14
申请号：US15620545
申请日：2017-06-12
Inventor： Erik Shapiro , Muhammad Jamal Afridi , Arun Ross , Xiaoming Liu
CPC classification number: G01R33/5601 , A61B5/055 , A61B5/7267 , A61B5/742 , A61B5/7475 , A61B2576/00 , A61K49/1896 , G01R33/546 , G01R33/5608 , G06K9/0014 , G06K9/00147 , G06K9/6273
Abstract: A system and method are provided for tracking magnetically-labeled substances, such as transplanted cells, in subjects using magnetic resonance imaging (MRI). The method includes obtaining a quantity of a substance that comprises an MRI contrast compound or is otherwise magnetically-labeled for purposes of an MRI scan, administering the substance into a region of interest of a subject, performing an imaging scan of a portion of the subject comprising the region of interest, obtaining an imaging data set from the scan, reducing the dataset into pixel groupings based on intensity profiles, where the pixel groupings have a pixel size larger than the expected pixel size of a unit of the MRI contrast compound or magnetically-labeled substance, extracting candidate pixel matrices from the imaging data, training a machine learning (ML) module by using the candidate pixel matrices, quantifying the presence, number and/or location of units of the substance within the subject by using the ML module, and displaying a visual representation of an identification of the substances within the subject as a result of using the ML module.
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公开(公告)号：US20140240507A1
公开(公告)日：2014-08-28
申请号：US13775363
申请日：2013-02-25
Inventor： Stephen Hsu , Xiaoming Liu , Xiangyang Alexander Liu
IPC: H04N7/18
CPC classification number: H04N7/185 , G06Q10/10 , G06Q50/205 , G09B5/00 , G09B7/00
Abstract: The system to proctor an examination includes a first camera worn by the examination taking subject and directed to capture images in subject's field of vision. A second camera is positioned to record an image of the subject's face during the examination. A microphone captures sounds within the room, which are analyzed to detect speech utterances. The computer system is programmed to store captured images from said first camera. The computer is also programmed to issue prompting events instructing the subject to look in a direction specified by the computer at event intervals not disclosed to subject in advance and to index for analysis the captured images in association with indicia corresponding to the prompting events.
Abstract translation: 考试的系统包括由考试所拍摄的第一台相机，并针对拍摄主体视野中的图像进行拍摄。 第二台摄像机被定位成在检查期间记录被摄体脸部的图像。 麦克风捕获房间内的声音，进行分析以检测语音话语。 计算机系统被编程为存储来自所述第一相机的拍摄图像。 计算机还被编程为发出提示事件，指示对象以事先未被披露的事件间隔在计算机指定的方向上查看，并且与用于与提示事件相对应的标记相关联地分析所捕获的图像进行索引。
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Patent Agency Ranking
公开(公告)号：US20240264276A1
公开(公告)日：2024-08-08
申请号：US18423694
申请日：2024-01-26
Inventor： Yunfei Long , Daniel Morris , Abhinav Kumar , Xiaoming Liu , Marcos Paul Gerardo Castro , Punarjay Chakravarty , Praveen Narayanan
IPC: G01S7/41 , G01S13/86 , G01S13/89 , G01S13/931
CPC classification number: G01S7/417 , G01S13/867 , G01S13/89 , G01S2013/9318 , G01S2013/93185 , G01S2013/9319
Abstract: A computer that includes a processor and a memory, the memory including instructions executable by the processor to generate radar data by projecting radar returns of objects within a scene onto an image plane of camera data of the scene based on extrinsic and intrinsic parameters of a camera and extrinsic parameters of a radar sensor to generate the radar data. The image data can be received at an image channel of an image/radar convolutional neural network (CNN) and receive the radar data at a radar channel of the image/radar CNN, wherein features are transferred from the image channel to the radar channel at multiple stages Image object features and image confidence scores can be determined by the image channel, and radar object features and radar confidences by the radar channel. The image object features can be combined with the radar object features using a weighted sum.
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公开(公告)号：US11734955B2
公开(公告)日：2023-08-22
申请号：US16648202
申请日：2018-09-18
Inventor： Xiaoming Liu , Luan Quoc Tran , Xi Yin
IPC: G06V40/16 , G06N20/00 , G06F18/214 , G06V10/24
CPC classification number: G06V40/172 , G06F18/214 , G06N20/00 , G06V10/242 , G06V40/165 , G06V40/168
Abstract: A system and method for identifying a subject using imaging are provided. In some aspects, the method includes receiving an image depicting a subject to be identified, and applying a trained Disentangled Representation learning-Generative Adversarial Network (DR-GAN) to the image to generate an identity representation of the subject, wherein the DR-GAN comprises a discriminator and a generator having at least one of an encoder and a decoder. The method also includes identifying the subject using the identity representation, and generating a report indicative of the subject identified.
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公开(公告)号：US20230023347A1
公开(公告)日：2023-01-26
申请号：US17384010
申请日：2021-07-23
Inventor： Xiaoming Liu , Daniel Morris , Yunfei Long , Marcos Paul Gerardo Castro , Punarjay Chakravarty , Praveen Narayanan
Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive radar data including a radar pixel having a radial velocity from a radar; receive camera data including an image frame including camera pixels from a camera; map the radar pixel to the image frame; generate a region of the image frame surrounding the radar pixel; determine association scores for the respective camera pixels in the region; select a first camera pixel of the camera pixels from the region, the first camera pixel having a greatest association score of the association scores; and calculate a full velocity of the radar pixel using the radial velocity of the radar pixel and a first optical flow at the first camera pixel. The association scores indicate a likelihood that the respective camera pixels correspond to a same point in an environment as the radar pixel.
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公开(公告)号：US20180272941A1
公开(公告)日：2018-09-27
申请号：US15470159
申请日：2017-03-27
Inventor： Michael Bliss , Yunfei Zhang , Xiaoming Liu , Yousef Atoum , Joseph Roth
CPC classification number: G06N3/08 , B60D1/36 , B60D1/62 , B60R2300/808 , B62D15/0295 , G06K9/00791 , G06K9/4604 , G06K9/4628 , G06N3/0454 , G06T7/73 , G06T2207/20084 , G06T2207/30252
Abstract: A method and apparatus for providing trailer information are provided. The method includes detecting a p coupler of the trailer in the image of the rear-facing camera; detecting a positon of the coupler in the received image; and determining a distance between the detected position of the coupler of the trailer and a hitch of vehicle. The method may be use to display information about a trailer coupler or guide a vehicle to line up a vehicle hitch to a trailer coupler.
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公开(公告)号：US12061253B2
公开(公告)日：2024-08-13
申请号：US17337664
申请日：2021-06-03
Inventor： Yunfei Long , Daniel Morris , Xiaoming Liu , Marcos Paul Gerardo Castro , Praveen Narayanan , Punarjay Chakravarty
IPC: G06T7/00 , G01B15/00 , G01S13/89 , G01S13/931 , G06T7/579
CPC classification number: G01S13/89 , G01B15/00 , G01S13/931 , G06T7/579 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive radar data from a radar, the radar data including radar pixels having respective measured depths; receive camera data from a camera, the camera data including an image frame including camera pixels; map the radar pixels to the image frame; generate respective regions of the image frame surrounding the respective radar pixels; for each region, determine confidence scores for the respective camera pixels in that region; output a depth map of projected depths for the respective camera pixels based on the confidence scores; and operate a vehicle including the radar and the camera based on the depth map. The confidence scores indicate confidence in applying the measured depth of the radar pixel for that region to the respective camera pixels.
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