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    BREATHING PATTERN IDENTIFICATION FOR RESPIRATORY FUNCTION ASSESSMENT
    31.
    发明申请
    BREATHING PATTERN IDENTIFICATION FOR RESPIRATORY FUNCTION ASSESSMENT 审中-公开
    呼吸模式识别呼吸功能评估

    公开(公告)号：US20150094597A1

    公开(公告)日：2015-04-02

    申请号：US14553659

    申请日：2014-11-25

    Applicant: Xerox Corporation

    Inventor： Lalit K. Mestha ,  Eribaweimon Shilla ,  Edgar A. Bernal ,  Graham Stephen Pennington ,  Himanshu Jayantkumar Madhu

    IPC: A61B5/00 ,  A61B5/113 ,  A61B5/11

    CPC classification number: A61B5/4818 ,  A61B5/0013 ,  A61B5/0022 ,  A61B5/0075 ,  A61B5/0077 ,  A61B5/1073 ,  A61B5/1128 ,  A61B5/113 ,  A61B5/6898 ,  A61B5/7203 ,  A61B5/7246 ,  A61B5/7264 ,  A61B5/7282 ,  A61B5/742 ,  A61B5/746 ,  A61B5/747 ,  A61B2576/00

    Abstract: What is disclosed is a system and method for identifying a patient's breathing pattern for respiratory function assessment without contact and with a depth-capable imaging system. In one embodiment, a time-varying sequence of depth maps are received of a target region of a subject of interest over a period of inspiration and expiration. Once received, the depth maps are processed to obtain a breathing signal for the subject. The subject's breathing signal comprises a temporal sequence of instantaneous volumes. One or more segments of the subject's breathing signal are then compared against one or more reference breathing signals each associated with a known pattern of breathing. As a result of the comparison, a breathing pattern for the subject is identified. The identified breathing pattern is then used to assess the subject's respiratory function. The teachings hereof find their uses in an array of diverse medical applications. Various embodiments are disclosed.

    Abstract translation: 所公开的是用于识别患者呼吸模式以用于呼吸功能评估而不接触和具有深度的成像系统的系统和方法。 在一个实施例中，在吸气和呼气期间，接收感兴趣对象的目标区域的时间变化的深度图序列。 一旦接收到，深度图被处理以获得对象的呼吸信号。 受试者的呼吸信号包括瞬时体积的时间序列。 然后将受试者呼吸信号的一个或多个部分与一个或多个与已知呼吸模式相关联的参考呼吸信号进行比较。 作为比较的结果，识别对象的呼吸模式。 然后使用识别的呼吸模式来评估受试者的呼吸功能。 这些教导在各种各样的医疗应用中发现其用途。 公开了各种实施例。

    METHODS AND SYSTEMS FOR EFFICIENTLY MONITORING PARKING OCCUPANCY
    32.
    发明申请
    METHODS AND SYSTEMS FOR EFFICIENTLY MONITORING PARKING OCCUPANCY 审中-公开
    有效监测停车场的方法和系统

    公开(公告)号：US20150086071A1

    公开(公告)日：2015-03-26

    申请号：US14033059

    申请日：2013-09-20

    Applicant: XEROX CORPORATION

    Inventor： Wencheng Wu ,  Robert P. Loce ,  Edgar A. Bernal

    IPC: G06K9/00 ,  G06T15/08 ,  G06T7/00

    CPC classification number: G06T15/08 ,  G06K9/00812 ,  G06T7/0008 ,  G06T15/205 ,  G06T19/00 ,  G06T2207/10016 ,  G06T2207/30232 ,  G06T2207/30264

    Abstract: A system and method for determining parking occupancy by constructing a parking area model based on a parking area, receiving image frames from at least one video camera, selecting at least one region of interest from the image frames, performing vehicle detection on the region(s) of interest, determining that there is a change in parking status for a parking space model associated with the region of interest, and updating parking status information for a parking space associated with the parking space model.

    Abstract translation: 一种通过基于停车区域构建停车区域模型来确定停车占地的系统和方法，从至少一个摄像机接收图像帧，从所述图像帧中选择至少一个感兴趣区域，对所述区域进行车辆检测 ），确定与感兴趣区域相关联的停车位模型的停车状态有变化，并且更新与停车位模型相关联的停车位的停车状态信息。

    AUTOMATED VISION-BASED CLUTTER DETECTOR AND NOTIFIER
    33.
    发明申请
    AUTOMATED VISION-BASED CLUTTER DETECTOR AND NOTIFIER 有权
    基于视觉的自动检测器和通知器

    公开(公告)号：US20140363043A1

    公开(公告)日：2014-12-11

    申请号：US13911105

    申请日：2013-06-06

    Applicant: Xerox Corporation

    Inventor： Edgar A. Bernal ,  Robert P. Loce ,  Wencheng Wu

    IPC: G06K9/00

    CPC classification number: G06K9/00771

    Abstract: A system and method of monitoring a customer space including obtaining visual data comprising image frames of the customer space over a period of time, defining a region of interest within the customer space, the region of interest corresponding to a portion of the customer space in which customers relocate objects, monitoring the region of interest for at least one predefined clutter condition, and generating a notification when the at least one predefined clutter condition is detected.

    Abstract translation: 一种监测客户空间的系统和方法，包括获得包括客户空间的图像帧的视觉数据，所述可视数据在一段时间内定义所述客户空间内的感兴趣区域，所述感兴趣区域与所述客户空间的一部分相对应， 客户重新定位对象，监视感兴趣区域至少一个预定义的杂波条件，以及当检测到至少一个预定义杂波条件时产生通知。

    METHOD AND SYSTEMS OF CLASSIFYING A VEHICLE USING MOTION VECTORS
    34.
    发明申请
    METHOD AND SYSTEMS OF CLASSIFYING A VEHICLE USING MOTION VECTORS 有权
    使用运动矢量分类车辆的方法和系统

    公开(公告)号：US20140362230A1

    公开(公告)日：2014-12-11

    申请号：US13914752

    申请日：2013-06-11

    Applicant: Xerox Corporation

    Inventor： Orhan Bulan ,  Edgar A. Bernal ,  Robert P. Loce

    IPC: G06K9/00 ,  H04N5/232

    CPC classification number: G06K9/00624 ,  G06K9/00785 ,  G06K9/3241 ,  G06K2209/23

    Abstract: This disclosure provides methods and systems of classifying a vehicle using motion vectors associated with captured images including a vehicle. According to an exemplary method, a cluster of motion vectors representative of a vehicle within a target region is analyzed to determine geometric attributes of the cluster and/or measure a length of a detected vehicle, which provides a basis for classifying the detected vehicle.

    Abstract translation: 本公开提供了使用与包括车辆的捕获图像相关联的运动矢量对车辆进行分类的方法和系统。 根据示例性方法，分析表示目标区域内的车辆的运动矢量的群集，以确定群集的几何属性和/或测量检测到的车辆的长度，这为检测到的车辆进行分类提供了依据。

    Respiratory function estimation from a 2D monocular video
    35.
    发明授权
    Respiratory function estimation from a 2D monocular video 有权
    来自2D单眼视频的呼吸功能估计

    公开(公告)号：US08792969B2

    公开(公告)日：2014-07-29

    申请号：US13680838

    申请日：2012-11-19

    Applicant: Xerox Corporation

    Inventor： Edgar A. Bernal ,  Lalit Keshav Mestha

    IPC: A61B6/00

    CPC classification number: A61B5/091 ,  A61B5/0077 ,  A61B5/08 ,  A61B5/0816 ,  A61B5/1127 ,  A61B5/113 ,  A61B5/1135

    Abstract: What is disclosed is a system and method for processing a video acquired using a 2D monocular video camera system to assess respiratory function of a subject of interest. In various embodiments hereof, respiration-related video signals are obtained from a temporal sequence of 3D surface maps that have been reconstructed based on an amount of distortion detected in a pattern placed over the subject's thoracic region (chest area) during video acquisition relative to known spatial characteristics of an undistorted reference pattern. Volume data and frequency information are obtained from the processed video signals to estimate chest volume and respiration rate. Other respiratory function estimations of the subject in the video can also be derived. The obtained estimations are communicated to a medical professional for assessment. The teachings hereof find their uses in settings where it is desirable to assess patient respiratory function in a non-contact, remote sensing environment.

    Abstract translation: 公开的是用于处理使用2D单眼摄像机系统获取的视频来评估感兴趣的对象的呼吸功能的系统和方法。 在本发明的各种实施例中，呼吸相关视频信号是根据在视频采集期间相对于已知的对象的胸部区域（胸部区域）放置的图案中检测到的失真量已被重建的3D表面贴图的时间序列获得的。 未失真的参考模式的空间特征。 从处理的视频信号中获得体数据和频率信息，以估计胸部体积和呼吸速率。 还可以推导出视频中对象的其他呼吸功能估计。 获得的估计被传达给医疗专业人员进行评估。 本文的教导在需要在非接触式遥感环境中评估患者呼吸功能的设置中找到其用途。

    Non-contact monitoring of spatio-temporal respiratory mechanics via depth sensing
    37.
    发明授权
    Non-contact monitoring of spatio-temporal respiratory mechanics via depth sensing 有权

    公开(公告)号：US10201293B2

    公开(公告)日：2019-02-12

    申请号：US14223402

    申请日：2014-03-24

    Applicant: Xerox Corporation

    Inventor： Edgar A. Bernal ,  Eribaweimon Shilla ,  Himanshu Madhu ,  Lalit K. Mestha ,  Robert P Loce

    IPC: A61B5/00 ,  A61B5/11 ,  A61B5/113

    Abstract: Systems and methods are proposed for non-contact monitoring of spatio-temporal mechanics comprising motion patterns of respiratory muscles, lungs and diaphragm. The depth capable sensors system is comprised of modules, including a depth estimation module, a reference shape generation module, a region of interest shape estimation module, and a shape comparison module. A recommender module is optionally included. The acquisition of spatio-temporal respiratory mechanic data comprising a time varying sequence of spatially dependent representations of the respiratory mechanics of the subject are processed for identifying differences between the subject's actual respiratory mechanics and desired mechanics that can improve the health of the subject, or identify particular maladies.

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