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公开(公告)号：US09928424B2
公开(公告)日：2018-03-27
申请号：US15049568
申请日：2016-02-22
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Beilei Xu , Peter Paul
CPC classification number: G06K9/00771 , G06K9/00785 , G06K9/00832 , G06K9/00838 , G06K9/4609 , G06K9/627 , G06K2209/23 , G06T2207/30248 , G06T2207/30268
Abstract: Methods, systems, and processor-readable media for detecting the side window of a vehicle. A spatial probability map can be calculated, which includes data indicative of likely side window locations of a vehicle in an image. A side window detector can be run with respect to the image of the vehicle to determine detection scores. The detection scores can be weighted based on the spatial probability map. A detected region of interest can be extracted from the image as extracted image patch. An image classification can then be performed with respect to the extracted patch to provide a classification that indicates whether or not a passenger is in the vehicle or no-passenger is in the vehicle.
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公开(公告)号：US09864931B2
公开(公告)日：2018-01-09
申请号：US15097791
申请日：2016-04-13
Applicant: Xerox Corporation
Inventor： Jayant Kumar , Beilei Xu , Peter Paul
IPC: G06K9/62
CPC classification number: G06K9/6245 , G06K9/6259 , G06K9/6269
Abstract: Methods, systems, and processor-readable media for training data augmentation. A source domain and a target domain are provided, and thereafter an operation is performed to augment data in the source domain with transformations utilizing characteristics learned from the target domain. The augmented data is then used to improve image classification accuracy in a new domain.
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公开(公告)号：US20170300783A1
公开(公告)日：2017-10-19
申请号：US15097791
申请日：2016-04-13
Applicant: Xerox Corporation
Inventor： Jayant Kumar , Beilei Xu , Peter Paul
IPC: G06K9/62
CPC classification number: G06K9/6245 , G06K9/6259 , G06K9/6269
Abstract: Methods, systems, and processor-readable media for training data augmentation. A source domain and a target domain are provided, and thereafter an operation is performed to augment data in the source domain with transformations utilizing characteristics learned from the target domain. The augmented data is then used to improve image classification accuracy in a new domain.
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公开(公告)号：US20170238846A1
公开(公告)日：2017-08-24
申请号：US15283629
申请日：2016-10-03
Applicant: Xerox Corporation
Inventor： Beilei Xu , Hao Wu , Wencheng Wu , Robert P. Loce
CPC classification number: G06K9/00348 , A61B5/112 , A61B5/1128 , A61B5/117 , A61B5/7235 , A61B5/7275 , G06K9/00342 , G06K9/00362 , G06K9/00885 , G06K9/4604 , G06K9/6202 , G06T7/11 , G06T7/20 , G06T7/246 , G06T7/285 , G06T2207/10004 , G06T2207/20164 , G06T2207/30196
Abstract: A method for gait analysis of a subject performed periodically over time to detect changes in one or more gait characteristics. The method includes detecting and identifying a subject and analyzing the gait of the subject on a plurality of occasions. Analyzing the gait of the subject includes, a detecting body parts, generating a joint model depicting the location of the at least one joint in each of the at least two frames, using the joint model to segment a gait cycle for the at least one joint, and comparing the gait cycle to a threshold value to detect abnormal gait.
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公开(公告)号：US09633267B2
公开(公告)日：2017-04-25
申请号：US14245319
申请日：2014-04-04
Applicant: Xerox Corporation
Inventor： Beilei Xu , Yusuf O. Artan , Peter Paul
CPC classification number: G06K9/00832 , G06K9/00228 , G06K9/00785 , G06K9/00838 , G06K9/4638 , G06K9/6202 , G06K9/6206 , G06K9/6267 , G06T2207/10004 , G06T2207/20076 , G06T2207/20132 , G06T2207/30268 , G08G1/0175 , G08G1/04 , H04N5/33
Abstract: A system and method that includes training a classifier using uniquely defined landmark points along the windshield region based on an elastic deformation model. The deformation model uses mixtures of trees with a shared pool of parts and can be globally optimized with dynamic programming and still capture much relevant global elastic structure. Once a candidate area is identified in the scene, a learned threshold is applied to the classification score of the candidate area to determine if the candidate area is a windshield. The identified area is then cropped out for further downstream process.
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6.发明授权Video acquisition system for monitoring a subject for a desired physiological function 有权视频采集系统，用于监测受试者的所需生理功能
公开(公告)号：US09521954B2
公开(公告)日：2016-12-20
申请号：US13921939
申请日：2013-06-19
Applicant: Xerox Corporation
Inventor： Beilei Xu , Lalit Keshav Mestha , Survi Kyal , Himanshu J. Madhu
IPC: A61B5/00 , A61B5/0205
CPC classification number: A61B5/0077 , A61B5/0205 , A61B5/7221 , A61B5/7278 , A61B2562/04 , A61B2576/00
Abstract: What is disclosed is a video system and method that accounts for differences in imaging characteristics of differing video systems used to acquire video of respective regions of interest of a subject being monitored for a desired physiological function. In one embodiment, video is captured using N video imaging devices, where N≧2, of respective regions of interest of a subject being monitored for a desired physiological function (i.e., a respiratory or cardiac function). Each video imaging device is different but has complimentary imaging characteristics. A reliability factor f is determined for each of the devices in a manner more fully disclosed herein. A time-series signal is generated from each of the videos. Each time-series signal is weighted by each respective reliability factor and combined to obtain a composite signal. A physiological signal can be then extracted from the composite signal. The processed physiological signal corresponds to the desired physiological function.
Abstract translation: 公开的是一种视频系统和方法，其考虑了用于获取正在被监视的期望生理功能的被摄体的感兴趣区域的视频的不同视频系统的成像特征的差异。 在一个实施例中，使用N个视频成像装置捕获视频，其中N≥2个被监测的对象的各个感兴趣区域用于期望的生理功能（即，呼吸或心脏功能）。 每个视频成像设备是不同的，但具有互补的成像特征。 以这里更全面地公开的方式为每个设备确定可靠性因子f。 从每个视频产生时间序列信号。 每个时间序列信号由每个相应的可靠性因子加权并组合以获得复合信号。 然后可以从复合信号中提取生理信号。 经处理的生理信号对应于所需的生理功能。
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7.发明授权Compensating for motion induced artifacts in a physiological signal extracted from a single video 有权补偿从单个视频提取的生理信号中的运动诱发伪像
公开(公告)号：US09436984B2
公开(公告)日：2016-09-06
申请号：US13923588
申请日：2013-06-21
Applicant: Xerox Corporation
Inventor： Beilei Xu , Lalit Keshav Mestha , Survi Kyal , Himanshu J. Madhu
CPC classification number: G06T5/50 , G06T5/003 , G06T2207/10016 , G06T2207/10024 , G06T2207/20201 , G06T2207/30088
Abstract: What is disclosed is a system and method for compensating for motion induce artifacts in a physiological signal obtained from a video. In one embodiment, a video of a first and second region of interest of a subject being monitored for a desired physiological function is captured by a video device. The first region is an area of exposed skin wherein a desired signal corresponding to the physiological function can be registered. The second region is an area where movement is likely to induce motion artifacts into that signal. The video is processed to isolate pixels in the image frames associated with these regions. Pixels of the first region are processed to obtain a time-series signal. A physiological signal is extracted from the time-series signal. Pixels of the second region are analyzed to identify motion. The physiological signal is processed to compensate for the identified motion.
Abstract translation: 所公开的是用于补偿从视频获得的生理信号中的运动诱发伪影的系统和方法。 在一个实施例中，由视频设备捕获被监视用于期望生理功能的被摄体的第一和第二感兴趣区域的视频。 第一区域是暴露皮肤的区域，其中可以登记对应于生理功能的期望信号。 第二区域是运动可能引起运动伪影成该信号的区域。 处理视频以隔离与这些区域相关联的图像帧中的像素。 处理第一区域的像素以获得时间序列信号。 从时间序列信号中提取生理信号。 分析第二区域的像素以识别运动。 处理生理信号以补偿所识别的运动。
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8.发明申请AUTOMATIC VISUAL REMOTE ASSESSMENT OF MOVEMENT SYMPTOMS IN PEOPLE WITH PARKINSON'S DISEASE FOR MDS-UPDRS FINGER TAPPING TASK 有权自动视觉远程评估携带帕金森病的人体运动症状，用于MDS-UPDRS手指切割任务
公开(公告)号：US20160089073A1
公开(公告)日：2016-03-31
申请号：US14707153
申请日：2015-05-08
Applicant: Xerox Corporation
Inventor： Faezeh Tafazzoli , Beilei Xu , Hao Wu , Robert P Loce
CPC classification number: A61B5/4082 , A61B5/1128 , A61B5/7264 , G06F19/00 , G06K9/00355 , G06K9/00744 , G06K9/3233
Abstract: A system and method for assessing patient movement for Parkinson's disease includes capturing a video of a subject performing a finger tapping sequence comprising a predetermined number of open and close periods. According to an exemplary embodiment, a system and method includes extracting a region of interest for each frame of the video and generating a projection of the region of interest for each frame of the video using perpendicular vector projections in a direction or plurality of directions.
Abstract translation: 用于评估患者运动的帕金森病的系统和方法包括捕获执行包括预定数量的开放和关闭周期的手指敲击序列的对象的视频。 根据示例性实施例，系统和方法包括提取视频的每个帧的感兴趣区域，并且使用垂直向量投影在方向或多个方向上生成视频的每个帧的感兴趣区域的投影。
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9.发明授权Increasing accuracy of a physiological signal obtained from a video of a subject 有权从对象的视频获得的生理信号的精度提高
公开(公告)号：US09245338B2
公开(公告)日：2016-01-26
申请号：US14281072
申请日：2014-05-19
Applicant: Xerox Corporation
Inventor： Lalit Keshav Mestha , Survi Kyal , Beilei Xu
CPC classification number: G06T7/0016 , A61B5/0077 , G06K9/00362 , G06K9/0053 , G06K9/0055 , G06K9/2018 , G06K2009/00939 , G06T7/254 , G06T2207/10016 , G06T2207/10024 , G06T2207/10048 , G06T2207/30004 , G06T2207/30076
Abstract: What is disclosed is a system and method for increasing the accuracy of physiological signals obtained from video of a subject being monitored for a desired physiological function. In one embodiment, image frames of a video are received. Successive batches of image frames are processed. For each batch, pixels associated with an exposed body region of the subject are isolated and processed to obtain a time-series signal. If movement occurred during capture of these image frames that is below a pre-defined threshold level then parameters of a predictive model are updated using this batch's time-series signal. Otherwise, the last updated predictive model is used to generate a predicted time-series signal for this batch. The time-series signal is fused with the predicted time-series signal to obtain a fused time-series signal. The time-series signal for each batch is processed to obtain a physiological signal for the subject corresponding to the physiological function.
Abstract translation: 所公开的是用于增加从所监视的受试者的视频获得的生理信号的准确性的系统和方法，用于期望的生理功能。 在一个实施例中，接收视频的图像帧。 处理连续批量的图像帧。 对于每个批次，与对象的暴露的身体区域相关联的像素被隔离并被处理以获得时间序列信号。 如果在捕获低于预定阈值水平的图像帧的情况下发生移动，则使用该批次的时间序列信号来更新预测模型的参数。 否则，最后更新的预测模型用于生成该批次的预测时间序列信号。 时间序列信号与预测的时间序列信号融合以获得融合的时间序列信号。 处理每个批次的时间序列信号以获得与生理功能相对应的对象的生理信号。
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公开(公告)号：US08971579B2
公开(公告)日：2015-03-03
申请号：US13859047
申请日：2013-04-09
Applicant: Xerox Corporation
Inventor： Beilei Xu , Peter Paul
CPC classification number: G06K9/00832 , G06K9/00785
Abstract: A system and method to capture an image of an oncoming target vehicle and localize the windshield of the target vehicle. Upon capturing an image, it is then analyzed to detect certain features of the target vehicle. Based on geometrical relationships of the detected features, the area of the image containing the windshield of the vehicle can then be identified and localized for downstream processing.
Abstract translation: 捕获迎面而来的目标车辆的图像并定位目标车辆的挡风玻璃的系统和方法。 在捕获图像时，然后对其进行分析以检测目标车辆的某些特征。 基于检测到的特征的几何关系，可以识别包含车辆挡风玻璃的图像的区域，以便进行下游处理。
