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    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。

    System and method for range and velocity estimation in video data as a function of anthropometric measures
    8.
    发明授权
    System and method for range and velocity estimation in video data as a function of anthropometric measures 有权
    视频数据中范围和速度估计的系统和方法作为人体测量的一个功能

    公开(公告)号：US08520895B2

    公开(公告)日：2013-08-27

    申请号：US12980898

    申请日：2010-12-29

    申请人： Kwong Wing Au ,  Saad J. Bedros

    发明人： Kwong Wing Au ,  Saad J. Bedros

    IPC分类号： G06K9/00

    CPC分类号： G01P3/38 ,  F41G3/06 ,  G01S11/12 ,  G06T7/269 ,  G06T7/50 ,  G06T2207/10016 ,  G06T2207/30196 ,  G06T2207/30212

    摘要： A system and method calculate a range and velocity of an object in image data. The range calculation includes detecting a contour of the object from the image data, forming a template from the image data based on the contour; and calculating a range to the object using pixel resolution and dimension statistics of the object. A three-dimensional velocity of the object is determined by calculating a radial component and an angular component of the velocity. The radial velocity component is calculated by determining the range of the object in two or more image frames, determining a time differential between the two or more image frames, and calculating the radial velocity as a function of the range of the object in the two or more image frames and the time differential between the two or more image frames. The angular component is calculated using spatial-temporal derivatives as a function of a motion constraint equation.

    摘要翻译： 系统和方法计算图像数据中对象的范围和速度。 范围计算包括从图像数据检测对象的轮廓，基于轮廓从图像数据形成模板; 并使用对象的像素分辨率和维度统计来计算对象的范围。 通过计算速度的径向分量和角分量来确定对象的三维速度。 通过确定两个或多个图像帧中的对象的范围，确定两个或更多个图像帧之间的时间差，并且计算作为两个或更多个图像帧中的对象的范围的函数的径向速度来计算径向速度分量 更多的图像帧和两个或更多个图像帧之间的时间差。 使用空间 - 时间导数作为运动约束方程的函数来计算角分量。

    Three-dimensional multilayer skin texture recognition system and method
    9.
    发明授权
    Three-dimensional multilayer skin texture recognition system and method 有权
    三维多层皮肤纹理识别系统及方法

    公开(公告)号：US08634596B2

    公开(公告)日：2014-01-21

    申请号：US12972829

    申请日：2010-12-20

    申请人： Saad J. Bedros ,  Kwong Wing Au

    发明人： Saad J. Bedros ,  Kwong Wing Au

    IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/66 ,  G06K9/52

    CPC分类号： G06K9/00201 ,  G06K9/00268 ,  G06K2009/4657

    摘要： A three-dimensional multilayer skin texture recognition system and method based on hyperspectral imaging. Three-dimensional facial model associated with an object may be acquired from a three-dimensional image capturing device. A face reconstruction approach may be implemented to reconstruct and rewarp the three-dimensional facial model to a frontal face image. A hyperspectral imager may be employed to extract a micro structure skin signature associated with the skin surface. The micro structure skin signature may be characterized utilizing a weighted subtraction of reflectance at different wavelengths that captures different layers under the skin surface via a multilayer skin texture recognition module. The volumetric skin data associated with the face skin can be classified via a volumetric pattern.

    摘要翻译： 基于高光谱成像的三维多层皮肤纹理识别系统及方法。 可以从三维图像捕获装置获取与对象相关联的三维面部模型。 可以实现面部重建方法以将三维面部模型重新构建并重新平面到正面面部图像。 可以使用高光谱成像器来提取与皮肤表面相关联的微结构皮肤特征。 可以通过经由多层皮肤纹理识别模块在皮肤表面捕获不同层的不同波长的反射率的加权减法来表征微结构皮肤特征。 与脸部皮肤相关的体积皮肤数据可以通过体积图案进行分类。

    Spectral signal detection system
    10.
    发明授权
    Spectral signal detection system 有权
    光谱信号检测系统

    公开(公告)号：US08117010B2

    公开(公告)日：2012-02-14

    申请号：US12329432

    申请日：2008-12-05

    申请人： Darryl Busch ,  Kwong Wing Au ,  Michael John Flanagan ,  Saad J. Bedros ,  Mirela Onorica Popa

    发明人： Darryl Busch ,  Kwong Wing Au ,  Michael John Flanagan ,  Saad J. Bedros ,  Mirela Onorica Popa

    IPC分类号： G06F15/00

    CPC分类号： G01J3/28 ,  G01J3/0289 ,  G01N21/3504 ,  G01N2021/1795 ,  G01N2021/3531 ,  G01N2021/3595

    摘要： A detection system which provides for continuous background estimation removal from a sequence of spectra. A panoramic field of regard may be partitioned into a large number of fields of view (FOVs). An FOV may have a chemical vapor cloud. The small FOV may maximize detection of the cloud. Such detection may require removing the spectral characteristics other than that of the target cloud. This may amount to removal of background spectra with an estimated background developed from one or more FOVs which may or may not be similar to the background of the FOV with the target cloud. A number of estimated background spectra of the other FOVs may be used individually to greatly increase the detection probability of the target chemical.

    摘要翻译： 一种提供从光谱序列中去除连续背景估计的检测系统。 全景视域可以划分成大量的视野（FOV）。 FOV可能具有化学气相云。 小FOV可以最大限度地发现云的检测。 这种检测可能需要去除与目标云不同的光谱特征。 这可能相当于从一个或多个FOV开发的估计背景的背景光谱的去除，其可以或可以不类似于具有目标云的FOV的背景。 可以单独使用其他FOV的多个估计背景光谱，以大大增加目标化学物质的检测概率。