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    System and method for dynamically generated uniform color objects
    1.
    发明授权
    System and method for dynamically generated uniform color objects 有权
    用于动态生成均匀颜色对象的系统和方法

    公开(公告)号：US08699103B2

    公开(公告)日：2014-04-15

    申请号：US11170946

    申请日：2005-06-30

    申请人： Lalit K. Mestha ,  Yao Rong Wang ,  Zhigang Fan

    发明人： Lalit K. Mestha ,  Yao Rong Wang ,  Zhigang Fan

    IPC分类号： H04N1/60

    CPC分类号： H04N1/6022 ,  H04N1/6041 ,  H04N1/62 ,  H04N1/628

    摘要： The present disclosure is directed to a system and method to render spatially uniform memory colors when images printed with CMYK primaries are not rendered uniformly due to output device quality errors. The disclosed method uses an array of sensors to scan a test image. Colors of interest are printed at the desired location first and then adjusted (iterated) to achieve a desired output quality. Iterations are carried out on the image on desired memory colors at the spatial resolution available in the measurement system. Colors of pixels are modified based on position where the pixels will be rendered, thereby compensating for any position/process related differences. Also disclosed is a process for incorporating modified memory colors before rendering, and the extension of memory color concepts to adjust colors for the uniform blocks (not edges), with uniformity defined by user definable thresholds.

    摘要翻译： 本公开涉及一种用于在由CMYK原色打印的图像由于输出设备质量错误而不均匀地呈现空间均匀的存储器颜色的系统和方法。 所公开的方法使用传感器阵列来扫描测试图像。 感兴趣的颜色首先打印在所需位置，然后进行调整（迭代）以获得所需的输出质量。 在测量系统中可用的空间分辨率下，对所需存储器颜色的图像进行迭代。 基于像素将被渲染的位置修改像素的颜色，从而补偿任何位置/过程相关差异。 还公开了一种用于在渲染之前并入改进的存储器颜色的过程，以及扩展存储器颜色概念以调整用于统一块（而不是边缘）的颜色，具有由用户可定义阈值定义的均匀性。

    Determining a number of objects in an IR image
    3.
    发明授权
    Determining a number of objects in an IR image 有权
    确定IR图像中的一些对象

    公开(公告)号：US08587657B2

    公开(公告)日：2013-11-19

    申请号：US13086006

    申请日：2011-04-13

    申请人： Yao Rong Wang ,  Zhigang Fan ,  Lalit Keshav Mestha

    发明人： Yao Rong Wang ,  Zhigang Fan ,  Lalit Keshav Mestha

    IPC分类号： H04N7/18 ,  H04N5/33 ,  G06K9/00

    CPC分类号： G06K9/00369 ,  G06K2009/4657 ,  G06T7/11 ,  G06T2207/10048 ,  G06T2207/30242

    摘要： What is disclosed is a novel system and method for determining the number of objects in an IR image obtained using an IR imaging system. In one embodiment, a total of N intensity values are collected for each pixel in an IR image using a IR imaging system comprising an IR detection device and an IR Illuminator. Intensity values are retrieved from a database which have been estimated for a plurality of known materials, such as skin and hair. A classification is determined for each pixel in the IR image using either a best fitting method of a reflectance, or a correlation method. Upon classification, a total number of objects in the IR image can be determined. The present system and method finds its intended uses in of real world applications such as, determining the number of occupants in a vehicle traveling in a HOV/HOT lane.

    摘要翻译： 所公开的是用于确定使用IR成像系统获得的IR图像中的对象数量的新颖系统和方法。 在一个实施例中，使用包括IR检测装置和IR照明器的IR成像系统对IR图​​像中的每个像素收集总共N个强度值。 从已经为多种已知材料（例如皮肤和头发）估计的数据库检索强度值。 使用反射率的最佳拟合方法或相关方法来确定IR图像中的每个像素的分类。 在分类时，可以确定IR图像中的对象的总数。 本系统和方法在现实应用中找到其预期用途，例如确定在HOV / HOT车道中行驶的车辆中的乘客人数。

    VIDEO-BASED SYSTEM AND METHOD FOR DETECTING EXCLUSION ZONE INFRACTIONS
    4.
    发明申请
    VIDEO-BASED SYSTEM AND METHOD FOR DETECTING EXCLUSION ZONE INFRACTIONS 有权
    基于视频的系统和检测排除区域的方法

    公开(公告)号：US20130266185A1

    公开(公告)日：2013-10-10

    申请号：US13441253

    申请日：2012-04-06

    申请人： Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce ,  Edgar A. Bernal ,  Zhigang Fan ,  Graham S. Pennington ,  David P. Cummins

    发明人： Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce ,  Edgar A. Bernal ,  Zhigang Fan ,  Graham S. Pennington ,  David P. Cummins

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00771 ,  G06K9/3233

    摘要： A method for determining a parking violation includes receiving video data as a sequence of frames provided by a camera. The method includes defining a location of an exclusion zone in the video data. The method includes detecting a vehicle located in the defined exclusion zone. The detecting includes determining a background in an initial frame of the video data and determining a background in a select frame by applying a predetermined updating process. The detecting includes subtracting the background of the select frame from the initial frame to obtain an image difference. The detecting includes classifying the pixels in the image difference as foreground or background pixels and classifying the pixels in the foreground image as vehicle or non-vehicle pixels. The method includes determining a duration that the detected vehicle is in the exclusion zone based on a number of the sequence of frames including the detected vehicle.

    摘要翻译： 用于确定停车违规的方法包括接收视频数据作为由相机提供的帧序列。 该方法包括在视频数据中定义排除区的位置。 该方法包括检测位于限定的禁区中的车辆。 检测包括确定视频数据的初始帧中的背景，并通过应用预定的更新过程来确定选择帧中的背景。 检测包括从初始帧中减去选择帧的背景以获得图像差异。 检测包括将图像差异中的像素分类为前景或背景像素，并将前景图像中的像素分类为车辆或非车辆像素。 该方法包括基于包括检测到的车辆的帧序列的数量来确定检测到的车辆在排除区域中的持续时间。

    Method and system for identifying optimal media for calibration and control
    5.
    发明授权
    Method and system for identifying optimal media for calibration and control 失效
    用于识别用于校准和控制的最佳介质的方法和系统

    公开(公告)号：US07969624B2

    公开(公告)日：2011-06-28

    申请号：US11636747

    申请日：2006-12-11

    申请人： Lalit Keshav Mestha ,  Yao Rong Wang ,  Zhigang Fan ,  Alvaro Enrique Gil

    发明人： Lalit Keshav Mestha ,  Yao Rong Wang ,  Zhigang Fan ,  Alvaro Enrique Gil

    IPC分类号： H04N1/46 ,  H04N1/00

    CPC分类号： H04N1/6033 ,  H04N1/6097

    摘要： Disclosed herein are optimal or near optimal algorithms implemented as software tools that will allow the user/machine to identify optimal media out of the job set automatically. There are at least two main process steps to the exemplary embodiment. The first step involves the off-line characterization of the printing/image rendering system that will be used to extract the principal basis vectors from the experimental data. The second step involves the run-time mode, in which the pre-characterized basis vectors are used in conjunction with an optimal algorithm that will identify the media for re-calibration/re-characterization from the group of media set that the customer is interested to print. The optimal algorithm performs the combinatorial search every time the customer wishes to select the media. Once the optimal media is selected, the customer or the machine can print color patches (which are also optimal set) and execute the rest of the processing to reconstruct the best color management LUTs.

    摘要翻译： 这里公开的是作为软件工具实现的最佳或近似最优算法，其将允许用户/机器自动地识别作业集合中的最佳媒体。 至于示例性实施例的至少两个主要处理步骤。 第一步涉及打印/图像渲染系统的离线表征，该系统将用于从实验数据中提取主基础向量。 第二步涉及运行时模式，其中预特征基本向量与最佳算法结合使用，该算法将识别媒体用于从客户感兴趣的媒体集合进行重新校准/重新表征 打印。 每当客户希望选择媒体时，最优算法执行组合搜索。 一旦选择了最佳介质，客户或机器可以打印色块（也是最佳组合），并执行其余处理以重构最佳色彩管理LUT。

    Optimal test patch selection for multi-media printing systems using low rank approximation
    6.
    发明授权
    Optimal test patch selection for multi-media printing systems using low rank approximation 失效
    使用低等级近似的多媒体打印系统的最佳测试补丁选择

    公开(公告)号：US07639410B2

    公开(公告)日：2009-12-29

    申请号：US11636841

    申请日：2006-12-11

    申请人： Yao Rong Wang ,  Lalit Keshav Mestha ,  Zhigang Fan ,  Alvaro Enrique Gil

    发明人： Yao Rong Wang ,  Lalit Keshav Mestha ,  Zhigang Fan ,  Alvaro Enrique Gil

    IPC分类号： H04N1/46 ,  G03F3/08

    CPC分类号： H04N1/00002 ,  H04N1/00015 ,  H04N1/00023 ,  H04N1/00031 ,  H04N1/00045 ,  H04N1/00053 ,  H04N1/00068 ,  H04N1/00087 ,  H04N1/0009

    摘要： The exemplary embodiment disclosed herein comprises several aspects of defining and using optimal color test patches for calibrating a printing system for various purposes (e.g., multi-media, gamut extension, drifting correction, etc.). One aspect is the creation and use of color patches where the color patches are selected optimally to result in minimum mean square error when those color patches are used to determine weights of a limited number of basis vectors that model the system (e.g., model the print engine response). A joint optimization technique is given as a method to select the optimal color test patches for calibration.

    摘要翻译： 本文公开的示例性实施例包括限定和使用用于校准用于各种目的（例如，多媒体，色域扩展，漂移校正等）的打印系统的最佳颜色测试贴片的几个方面。 一个方面是色彩补丁的创建和使用，其中最佳地选择色块以产生最小均方误差，当使用这些色块来确定对系统进行建模的有限数量的基向量的权重（例如，模拟打印 发动机响应）。 给出联合优化技术作为选择用于校准的最佳颜色测试贴片的方法。

    Smartphone augmented video-based on-street parking management system
    9.
    发明授权
    Smartphone augmented video-based on-street parking management system 有权
    智能手机增强了基于视频的路边停车管理系统

    公开(公告)号：US09367966B2

    公开(公告)日：2016-06-14

    申请号：US13461161

    申请日：2012-05-01

    申请人： Zhigang Fan ,  Yao Rong Wang

    发明人： Zhigang Fan ,  Yao Rong Wang

    IPC分类号： G07B15/02 ,  G06K9/00 ,  H04N7/18

    CPC分类号： G07B15/02 ,  G06K9/00785 ,  H04N7/181

    摘要： A method and a system for automating parking payment includes receiving video data in a sequence of frames provided by a video capture device observing a parking area. The method includes detecting a vehicle in the parking area using the video data. The method further includes receiving information of a vehicle in the parking area provided by a user device. The method includes comparing the characteristics of the detected vehicle with the information from the user device. In response to the characteristics of the detected vehicle being a match to the information sent from the user device, the method includes tracking the detected vehicle across the sequence of frames. The method includes computing a duration that the detected vehicle remains stationary using the tracking. The method includes computing an amount for charging the associated user device based on the duration.

    摘要翻译： 一种用于自动化停车支付的方法和系统包括以观看停车区域的视频捕获设备提供的帧序列接收视频数据。 该方法包括使用视频数据来检测停车区域中的车辆。 该方法还包括在由用户设备提供的停车区域中接收车辆的信息。 该方法包括将检测到的车辆的特征与来自用户设备的信息进行比较。 响应于检测到的车辆的特征与从用户设备发送的信息的匹配，该方法包括在帧序列之间跟踪检测到的车辆。 该方法包括使用跟踪来计算检测到的车辆保持静止的持续时间。 该方法包括基于持续时间计算用于对相关联的用户设备计费的量。

    Video-based system and method for detecting exclusion zone infractions
    10.
    发明授权
    Video-based system and method for detecting exclusion zone infractions 有权
    基于视频的系统和检测排除区违规的方法

    公开(公告)号：US08666117B2

    公开(公告)日：2014-03-04

    申请号：US13441253

    申请日：2012-04-06

    申请人： Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce ,  Edgar A. Bernal ,  Zhigang Fan ,  Graham S. Pennington ,  David P. Cummins

    发明人： Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce ,  Edgar A. Bernal ,  Zhigang Fan ,  Graham S. Pennington ,  David P. Cummins

    IPC分类号： G06K9/00 ,  G08G1/16

    CPC分类号： G06K9/00771 ,  G06K9/3233

    摘要： A method for determining a parking violation includes receiving video data as a sequence of frames provided by a camera. The method includes defining a location of an exclusion zone in the video data. The method includes detecting a vehicle located in the defined exclusion zone. The detecting includes determining a background in an initial frame of the video data and determining a background in a select frame by applying a predetermined updating process. The detecting includes subtracting the background of the select frame from the initial frame to obtain an image difference. The detecting includes classifying the pixels in the image difference as foreground or background pixels and classifying the pixels in the foreground image as vehicle or non-vehicle pixels. The method includes determining a duration that the detected vehicle is in the exclusion zone based on a number of the sequence of frames including the detected vehicle.

    摘要翻译： 用于确定停车违规的方法包括接收视频数据作为由相机提供的帧序列。 该方法包括在视频数据中定义排除区域的位置。 该方法包括检测位于限定的禁区中的车辆。 检测包括确定视频数据的初始帧中的背景，并通过应用预定的更新过程来确定选择帧中的背景。 检测包括从初始帧中减去选择帧的背景以获得图像差异。 检测包括将图像差异中的像素分类为前景或背景像素，并将前景图像中的像素分类为车辆或非车辆像素。 该方法包括基于包括检测到的车辆的帧序列的数量来确定检测到的车辆在排除区域中的持续时间。