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    Gaussian mixture model based illumination normalization for global enhancement
    1.
    发明授权
    Gaussian mixture model based illumination normalization for global enhancement 有权
    基于高斯混合模型的照明归一化进行全局增强

    公开(公告)号：US08150202B2

    公开(公告)日：2012-04-03

    申请号：US12164868

    申请日：2008-06-30

    申请人： Kamini Kanta Mohanty ,  Mahesh Kumar Gellaboina ,  Jeremy Craig Wilson

    发明人： Kamini Kanta Mohanty ,  Mahesh Kumar Gellaboina ,  Jeremy Craig Wilson

    IPC分类号： G06K9/38

    CPC分类号： G06T5/009 ,  G06T5/40

    摘要： A method is presented for enhancing an image from an initial image, comprising computing a first luminance level frequency distribution corresponding to plurality of pixel constructing said initial image, representing said first luminance level frequency distribution as a resultant of Gaussian model mixtures to assess relative utilization of overall luminance level across said initial image, computing a desired luminance level frequency distribution as a function of the relative utilization, computing a transfer function to adjust the first luminance level frequency distribution to an enhanced luminance level as a function of desired level frequency distribution estimation, and applying said transfer function globally to said initial image to provide an enhanced image is. The first luminance level can be adapted to be linearized in a logarithmic form. In one embodiment, the model comprises one or more Gaussian functions. The initial image can be a background image estimated from a sequence of images.

    摘要翻译： 提出一种用于增强来自初始图像的图像的方法，包括计算对应于构成所述初始图像的多个像素的第一亮度级频率分布，表示所述第一亮度级频率分布作为高斯模型混合的结果，以评估相对利用率 在所述初始图像上的整体亮度水平，根据相对利用率计算期望的亮度级频率分布，计算传递函数，以将第一亮度级频率分布调整为增强的亮度级，作为期望的电平频率分布估计的函数， 以及将所述传递函数全局地应用于所述初始图像以提供增强的图像。 第一亮度水平可以适应于以对数形式线性化。 在一个实施例中，该模型包括一个或多个高斯函数。 初始图像可以是从图像序列估计的背景图像。

    Semi-automatic relative calibration method for master slave camera control
    2.
    发明授权
    Semi-automatic relative calibration method for master slave camera control 有权
    用于主从照相机控制的半自动相对校准方法

    公开(公告)号：US08488001B2

    公开(公告)日：2013-07-16

    申请号：US12331741

    申请日：2008-12-10

    申请人： Kamini Kanta Mohanty ,  Mahesh Kumar Gellaboina ,  Jeremy Craig Wilson

    发明人： Kamini Kanta Mohanty ,  Mahesh Kumar Gellaboina ,  Jeremy Craig Wilson

    IPC分类号： H04N7/18

    CPC分类号： H04N7/181 ,  G08B13/19643

    摘要： A method for capturing surveillance images includes of a secured area has a first camera with a first field of view and a second camera with a second field of view. An optical center is determined for the second field of view. A magnification ratio is determined between a target located in the first field of view relative to the second field of view. A pan and tilt model is determined that provides a relationship between a first camera coordinates and pan and tilt values to position the second camera at the optical center. A target is captured in the first field of view and the second camera is controlled to record the target in the second field of view with the second field of view being an enhanced view relative to the first field of view.

    摘要翻译： 一种用于捕获监视图像的方法，包括：安全区域具有具有第一视野的第一相机和具有第二视场的第二相机。 确定第二视野的光学中心。 在位于第一视野内的目标相对于第二视场之间确定放大率。 确定平移和倾斜模型，其提供第一相机坐标和平移和倾斜值之间的关系，以将第二相机定位在光学中心处。 在第一视野中捕获目标，并且控制第二相机以在第二视场中记录目标，而第二视场是相对于第一视场的增强视图。

    GAUSSIAN MIXTURE MODEL BASED ILLUMINATION NORMALIZATION FOR GLOBAL ENHANCEMENT
    3.
    发明申请
    GAUSSIAN MIXTURE MODEL BASED ILLUMINATION NORMALIZATION FOR GLOBAL ENHANCEMENT 有权
    高斯混合模型基于照明的全球增强正规化

    公开(公告)号：US20110123133A1

    公开(公告)日：2011-05-26

    申请号：US12164868

    申请日：2008-06-30

    申请人： Kamini Kanta Mohanty ,  Mahesh Kumar Gellaboina ,  Jeremy Craig Wilson

    发明人： Kamini Kanta Mohanty ,  Mahesh Kumar Gellaboina ,  Jeremy Craig Wilson

    IPC分类号： G06T5/00

    CPC分类号： G06T5/009 ,  G06T5/40

    摘要： A method is presented for enhancing an image from an initial image, comprising computing a first luminance level frequency distribution corresponding to plurality of pixel constructing said initial image, representing said first luminance level frequency distribution as a resultant of Gaussian model mixtures to assess relative utilization of overall luminance level across said initial image, computing a desired luminance level frequency distribution as a function of the relative utilization, computing a transfer function to adjust the first luminance level frequency distribution to an enhanced luminance level as a function of desired level frequency distribution estimation, and applying said transfer function globally to said initial image to provide an enhanced image is. The first luminance level can be adapted to be linearized in a logarithmic form. In one embodiment, the model comprises one or more Gaussian functions. The initial image can be a background image estimated from a sequence of images.

    摘要翻译： 提出一种用于增强来自初始图像的图像的方法，包括计算对应于构成所述初始图像的多个像素的第一亮度级频率分布，表示所述第一亮度级频率分布作为高斯模型混合的结果，以评估相对利用率 在所述初始图像上的整体亮度水平，根据相对利用率计算期望的亮度级频率分布，计算传递函数，以将第一亮度级频率分布调整为增强的亮度级，作为期望的电平频率分布估计的函数， 以及将所述传递函数全局地应用于所述初始图像以提供增强的图像。 第一亮度水平可以适应于以对数形式线性化。 在一个实施例中，该模型包括一个或多个高斯函数。 初始图像可以是从图像序列估计的背景图像。

    Semi-Automatic Relative Calibration Method for Master Slave Camera Control
    4.
    发明申请
    Semi-Automatic Relative Calibration Method for Master Slave Camera Control 有权
    主从相机控制的半自动相对校准方法

    公开(公告)号：US20100141767A1

    公开(公告)日：2010-06-10

    申请号：US12331741

    申请日：2008-12-10

    申请人： Kamini Kanta Mohanty ,  Mahesh Kumar Gellaboina ,  Jeremy Craig Wilson

    发明人： Kamini Kanta Mohanty ,  Mahesh Kumar Gellaboina ,  Jeremy Craig Wilson

    IPC分类号： H04N7/18

    CPC分类号： H04N7/181 ,  G08B13/19643

    摘要： A method for capturing surveillance images includes of a secured area has a first camera with a first field of view and a second camera with a second field of view. An optical center is determined for the second field of view. A magnification ratio is determined between a target located in the first field of view relative to the second field of view. A pan and tilt model is determined that provides a relationship between a first camera coordinates and pan and tilt values to position the second camera at the optical center. A target is captured in the first field of view and the second camera is controlled to record the target in the second field of view with the second field of view being an enhanced view relative to the first field of view.

    摘要翻译： 一种用于捕获监视图像的方法，包括：安全区域具有具有第一视野的第一相机和具有第二视场的第二相机。 确定第二视野的光学中心。 在位于第一视野内的目标相对于第二视场之间确定放大率。 确定平移和倾斜模型，其提供第一相机坐标和平移和倾斜值之间的关系，以将第二相机定位在光学中心处。 在第一视野中捕获目标，并且控制第二相机以在第二视场中记录目标，而第二视场是相对于第一视场的增强视图。

    STORAGE TANK INSPECTION SYSTEM AND METHOD
    5.
    发明申请
    STORAGE TANK INSPECTION SYSTEM AND METHOD 审中-公开
    储存罐检查系统及方法

    公开(公告)号：US20120281096A1

    公开(公告)日：2012-11-08

    申请号：US13099038

    申请日：2011-05-02

    申请人： Mahesh Kumar Gellaboina ,  Lokesh Rayasandra Boregowda ,  Mohammed Ibrahim Mohideen ,  Dinesh Ramegowda ,  Bin Sai

    发明人： Mahesh Kumar Gellaboina ,  Lokesh Rayasandra Boregowda ,  Mohammed Ibrahim Mohideen ,  Dinesh Ramegowda ,  Bin Sai

    IPC分类号： G01S15/89 ,  G01S13/89

    CPC分类号： G01F23/292 ,  G01F23/22 ,  G01F23/284 ,  G01F23/2962 ,  G01S13/862 ,  G01S13/88 ,  G01S15/88

    摘要： A multi-sensor method and system for imaging and inspecting a storage tank that holds a liquid. The system includes an infrared sensor including a scanning vertical mount positioned outside the storage tank, an ultrasonic sensor array positioned outside the storage tank, and at least one of an ultrasonic sensor positioned inside the storage tank and a phased array radar positioned inside the storage tank secured to an interior top surface of the storage tank. The system further includes a processor coupled to receive multi-sensor data from the infrared sensor, ultrasonic sensor array and at least one of the ultrasonic sensor in the tank and the phased array radar. The processor fuses the multi-sensor data to generate a sludge level image profile for sludge in the storage tank, a liquid level image for liquid in the storage tank, and optionally an integrity profile for a shell of the storage tank.

    摘要翻译： 一种用于成像和检查储存液体的储罐的多传感器方法和系统。 该系统包括红外线传感器，其包括位于储罐外部的扫描垂直安装件，位于储罐外部的超声波传感器阵列，以及位于储罐内部的超声波传感器中的至少一个和位于储罐内部的相控阵雷达 固定到储罐的内部顶表面。 该系统还包括处理器，其被耦合以从红外传感器，超声波传感器阵列以及罐中的超声波传感器和相控阵雷达中的至少一个接收多传感器数据。 处理器对多传感器数据进行融合，以产生储罐中污泥的污泥水平图像轮廓，储存罐中液体的液面图像，以及可选地用于存储罐壳体的完整性分布。

    TRACKING AIRCRAFT IN A TAXI AREA
    7.
    发明申请
    TRACKING AIRCRAFT IN A TAXI AREA 审中-公开
    在TAXI地区跟踪飞机

    公开(公告)号：US20130329944A1

    公开(公告)日：2013-12-12

    申请号：US13494625

    申请日：2012-06-12

    申请人： Mahesh Kumar Gellaboina ,  Gurumurthy Swaminathan ,  Saad J. Bedros ,  Vit Libal

    发明人： Mahesh Kumar Gellaboina ,  Gurumurthy Swaminathan ,  Saad J. Bedros ,  Vit Libal

    IPC分类号： G01S13/58 ,  G06K9/46

    CPC分类号： G01S3/7864 ,  G01S2013/916 ,  G06K9/00785 ,  G08G5/06

    摘要： Tracking aircraft in a taxi area is described herein. One method includes receiving a video image of an aircraft while the aircraft is taxiing, determining a portion of the video image associated with the aircraft, determining a geographical track associated with the aircraft based, at least in part, on the portion of the video image, and mapping the determined geographical track to a coordinate system display while the aircraft is taxiing.

    摘要翻译： 这里描述了在出租车区域追踪飞机。 一种方法包括在飞机滑行时接收飞行器的视频图像，确定与飞行器相关联的视频图像的一部分，至少部分地基于视频图像的部分确定与飞行器相关联的地理轨迹 ，并且在飞机滑行时将确定的地理轨迹映射到坐标系显示。

    Handheld device having location-based features for plant workers
    9.
    发明授权
    Handheld device having location-based features for plant workers 有权
    手持式设备具有植物工作者的基于位置的功能

    公开(公告)号：US08725178B2

    公开(公告)日：2014-05-13

    申请号：US13402101

    申请日：2012-02-22

    申请人： Mohammed Ibrahim Mohideen ,  Gurumurthy Swaminathan ,  Niranjan Rao ,  Mahesh Kumar Gellaboina ,  Lokanatha Reddy J.

    发明人： Mohammed Ibrahim Mohideen ,  Gurumurthy Swaminathan ,  Niranjan Rao ,  Mahesh Kumar Gellaboina ,  Lokanatha Reddy J.

    IPC分类号： H04W24/00

    CPC分类号： H04W4/04 ,  G06Q10/00 ,  H04L67/12 ,  H04W4/043

    摘要： A method of operating an industrial plant having processing units that includes a wireless network including a network server, at least one router, and a plurality of workers including a first worker. A first handheld computing device is provided having a wireless transceiver and a processor programmed to implement a location-based service algorithm stored in non-transitory machine readable storage to a first worker. The location-based service algorithm implements obtaining location information that identifies a physical location for the first worker, and adding the location information to wireless transmissions of information by the first worker to others of the plurality of workers or to the network server. The first handheld computing device wirelessly receives server provided plant information that is a function of the physical location, and the first worker performs at least one action guided at least in part by the server provided plant information.

    摘要翻译： 一种操作具有处理单元的工厂的方法，所述处理单元包括无线网络，所述无线网络包括网络服务器，至少一个路由器以及包括第一工人的多个工作人员。 提供了第一个手持式计算设备，其具有无线收发器和被编程为将存储在非暂时机器可读存储器中的基于位置的服务算法实施到第一工人的处理器。 所述基于位置的服务算法实现获取位置信息，所述位置信息标识所述第一工作者的物理位置，并且将所述位置信息添加到所述第一工作者对所述多个工作者中的其他人或所述网络服务器的信息的无线传输。 第一手持计算设备无线地接收作为物理位置的函数的服务器提供的工厂信息，并且第一工作者至少部分地由服务器提供的工厂信息执行至少一个动作。