公开(公告)号：US09158985B2

公开(公告)日：2015-10-13

申请号：US14195036

申请日：2014-03-03

Applicant: Xerox Corporation

Inventor： Qun Li ,  Edgar A. Bernal ,  Aaron Michael Burry ,  Peter Paul ,  Robert P. Loce

IPC: G06K9/00 ,  G06K9/32 ,  G06T7/00

CPC classification number: G06T7/194 ,  G06K9/00785 ,  G06K9/342 ,  G06K9/4652 ,  G06T7/11 ,  G06T7/174 ,  G06T2207/10016 ,  G06T2207/20112 ,  G06T2207/30232 ,  G06T2207/30236

Abstract: A method for processing an image of a scene of interest includes receiving an original target image of a scene of interest at an image processing device from an image source device, the original target image exhibiting shadowing effects associated with the scene of interest when the original target image was captured, the original target image comprising a plurality of elements and representing an instantaneous state for the scene of interest, pre-processing the original target image using a modification identification algorithm to identify elements of the original target image to be modified, and generating a copy mask with a mask region representing the elements to be modified and a non-mask region representing other elements of the original target image. An image processing device for processing an image of a scene of interest and a non-transitory computer-readable medium are also provided.

Abstract translation: 用于处理感兴趣场景的图像的方法包括：从图像源装置在图像处理装置处接收感兴趣场景的原始目标图像，原始目标图像在原始目标时显示与感兴趣场景相关联的阴影效果 拍摄图像，原始目标图像包括多个元素并表示感兴趣场景的瞬时状态，使用修改识别算法对原始目标图像进行预处理，以识别要修改的原始目标图像的元素，并且生成 具有表示要修改的元素的掩模区域的复制掩模和表示原始目标图像的其他元素的非掩模区域。 还提供了一种用于处理感兴趣场景的图像和非暂时性计算机可读介质的图像处理装置。

公开(公告)号：US20150265187A1

公开(公告)日：2015-09-24

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: A61B5/11 ,  A61B5/113

CPC classification number: A61B5/1128 ,  A61B5/113 ,  A61B5/4836 ,  A61B5/7246 ,  A61B5/7485 ,  A61B2576/00

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.

Abstract translation: 提出了系统和方法用于非接触监测包括呼吸肌，肺和隔膜的运动模式的时空力学。 深度能力传感器系统包括模块，包括深度估计模块，参考形状生成模块，感兴趣区域形状估计模块和形状比较模块。 可选地包括推荐器模块。 处理包含受试者的呼吸力学的空间依赖性表示的时变序列的时空呼吸机械数据的获取被用于识别受试者的实际呼吸力学和可改善受试者健康的所需力学之间的差异，或识别 特别的疾病。

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。

公开(公告)号：US20150070471A1

公开(公告)日：2015-03-12

申请号：US14022488

申请日：2013-09-10

Applicant: XEROX CORPORATION

Inventor： Robert P. Loce ,  Wencheng Wu ,  Thomas F. Wade ,  Daniel S. Hann ,  Peter Paul ,  Aaron M. Burry

IPC: H04N13/02 ,  G06Q20/38 ,  H04N7/18

CPC classification number: H04N13/239 ,  G06K9/00785 ,  G06Q20/145 ,  G06Q20/38 ,  G06T7/285 ,  G06T2207/30256 ,  H04N7/181

Abstract: Methods and devices acquire images using a stereo camera or camera network aimed at a first location. The first location comprises multiple parallel primary lanes merging into a reduced number of at least one secondary lane, and moving items within the primary lanes initiate transactions while in the primary lanes and complete the transactions while in the secondary lane. Such methods and devices calculate distances of the moving items from the camera to identify in which of the primary lanes each of the moving items was located before merging into the secondary lane. These methods and devices then order the transactions in a merge order corresponding to a sequence in which the moving items entered the secondary lane from the primary lanes. Also, the methods and devices output the transactions in the merge.

Abstract translation: 方法和设备使用瞄准在第一位置的立体相机或照相机网络获取图像。 第一位置包括合并到减少数量的至少一个次级车道中的多个并行主车道，并且主车道内的移动物品在主车道中启动交易，并且在次车道中完成交易。 这些方法和装置计算移动物品与照相机的距离，以识别在合并到次通道之前每个移动物品位于哪个主车道中。 这些方法和设备然后按照与从主车道进入辅助车道的移动物品的序列相对应的合并顺序来排序交易。 此外，方法和设备在合并中输出事务。

公开(公告)号：US20150048934A1

公开(公告)日：2015-02-19

申请号：US14451978

申请日：2014-08-05

Applicant: Xerox Corporation

Inventor： Robert P. Loce ,  Raja Bala ,  Michael R. Furst

IPC: G08G1/16

CPC classification number: G08G1/166

Abstract: Systems and methods are provided for real time dynamic triggering of a conspicuous signal for a vehicle on a path of travel. A sensor array detects environmental factors presenting a predetermined risk to the vehicle. A decision module assesses the environmental factors and the associated risks and determines if the conspicuousness signal is warranted and a type of signal to be made. An actuating module actuates the conspicuousness signal based on the determining of the decision module.

Abstract translation: 提供了系统和方法，用于在行进路径上的车辆的显着信号的实时动态触发。 传感器阵列检测向车辆呈现预定风险的环境因素。 决策模块评估环境因素和相关风险，并确定显着信号是否得到保证，并确定一种信号。 执行模块基于决定模块的确定来驱动显着信号。

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。

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。

公开(公告)号：US20140270381A1

公开(公告)日：2014-09-18

申请号：US13836310

申请日：2013-03-15

Applicant: XEROX CORPORATION

Inventor： Wencheng Wu ,  Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce

IPC: G08G1/14 ,  G06K9/00 ,  G06K9/62

CPC classification number: G08G1/14 ,  G06K9/00771 ,  G06K9/00785 ,  G06K9/6262 ,  G06K9/6267 ,  G08G1/04 ,  G08G1/146 ,  G08G1/147

Abstract: Disclosed are methods and systems for detecting one or more vehicles in video captured from a deployed video camera directed at a parking region. According to one exemplary embodiment, disclosed is a method of training a deployed classifier associated with the video camera, where a generic classifier is initially used to obtain high confidence training samples from the video camera, the high confidence training samples subsequently used to train the deployed classifier.

Abstract translation: 公开了用于检测从部署在停车区域的摄像机捕获的视频中的一个或多个车辆的方法和系统。 根据一个示例性实施例，公开了一种训练与摄像机相关联的已部署分类器的方法，其中最初使用通用分类器从摄像机获得高信度训练样本，随后用于训练所部署的高置信训练样本 分类器

公开(公告)号：US20140161307A1

公开(公告)日：2014-06-12

申请号：US13710974

申请日：2012-12-11

Applicant: XEROX CORPORATION

Inventor： Yi Liu ,  Beilei Xu ,  Robert P. Loce ,  Wencheng Wu ,  Lalit K. Mestha ,  Edgar A. Bernal

IPC: G06K9/32

CPC classification number: G06K9/3241 ,  G06K9/00006 ,  G06K2009/00932

Abstract: A system and method of localizing vascular patterns by receiving frames from a video camera, identifying and tracking an object within the frames, determining temporal features associated with the object; and localizing vascular patterns from the frames based on the temporal features associated with the object.

Abstract translation: 一种通过从摄像机接收帧来定位血管图案的系统和方法，识别和跟踪帧内的对象，确定与对象相关联的时间特征; 以及基于与对象相关联的时间特征来定位来自帧的血管图案。

公开(公告)号：US20140145862A1

公开(公告)日：2014-05-29

申请号：US13684817

申请日：2012-11-26

Applicant: XEROX CORPORATION

Inventor： Yao Rong Wang ,  Zhigang Fan ,  Robert P. Loce ,  Orhan Bulan ,  Norman W. Zeck ,  Graham Pennington

IPC: G08G1/14

CPC classification number: G08G1/04 ,  G08G1/065 ,  G08G1/141 ,  G08G1/142 ,  G08G1/147

Abstract: A method and structure for estimating parking occupancy within an area of interest can include the use of at least two image capture devices and a processor (e.g., a computer) which form at least part of a network. A method for estimating the parking occupancy within the area of interest can include the use of vehicle entry and exit data from the area of interest, as well as an estimated transit time for vehicles transiting through the area of interest without parking.

Abstract translation: 用于估计感兴趣区域内的停车占有率的方法和结构可以包括使用至少两个图像捕获装置和形成网络的至少一部分的处理器（例如，计算机）。 用于估计感兴趣区域内的停车占用的方法可以包括使用来自感兴趣区域的车辆入口和出口数据，以及在没有停车的情况下经过感兴趣区域的车辆的估计过境时间。