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    Person clothing feature extraction device, person search device, and processing method thereof
    41.
    发明授权
    Person clothing feature extraction device, person search device, and processing method thereof 有权
    人衣服特征提取装置，人物搜索装置及其处理方法

    公开(公告)号：US09495754B2

    公开(公告)日：2016-11-15

    申请号：US14508477

    申请日：2014-10-07

    Applicant: Ryoma Oami ,  Yasufumi Hirakawa ,  Yusuke Takahashi

    Inventor： Ryoma Oami ,  Yasufumi Hirakawa ,  Yusuke Takahashi

    IPC: G06K9/46 ,  G06T7/00 ,  G06K9/00 ,  G06F17/30

    CPC classification number: G06T7/0081 ,  G06F17/30244 ,  G06K9/00228 ,  G06K9/00362 ,  G06K9/00771 ,  G06K9/3241 ,  G06K9/4652 ,  G06K9/52 ,  G06K9/527 ,  G06K9/6215 ,  G06T7/248 ,  G06T2207/30124 ,  G06T2207/30196 ,  G06T2210/16

    Abstract: A person's region is detected from input video of a surveillance camera; a person's direction in the person's region is determined; the separability of person's clothes is determined to generate clothing segment separation information; furthermore, clothing features representing visual features of person's clothes in the person's region are extracted in consideration of the person's direction and the clothing segment separation information. The person's direction is determined based on a person's face direction, person's motion, and clothing symmetry. The clothing segment separation information is generated based on analysis information regarding a geometrical shape of the person's region and visual segment information representing person's clothing segments which are visible based on the person's region and background prior information. A person is searched out based on a result of matching between a clothing query text, representing a type and a color of person's clothes, and the extracted person's clothing features.

    Abstract translation: 从监视摄像机的输入视频中检测到人的区域; 一个人在该地区的方向是确定的; 确定人的衣服的分离性，以产生服装段分离信息; 此外，考虑到该人的方向和服装段分离信息，提取表示该人区域中的衣服的视觉特征的服装特征。 该人的方向是根据人的面部方向，人的动作和衣服的对称性来确定的。 基于关于人的区域的几何形状的分析信息和表示基于该人的区域和背景事先信息可见的人的服装区段的视觉区段信息生成服装区段分离信息。 基于表示人的衣服的类型和颜色的服装查询文本与提取的人的服装特征之间的匹配结果，搜索出人物。

    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
    43.
    发明申请
    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM 审中-公开
    图像处理设备，图像处理方法以及非终端计算机可读存储介质

    公开(公告)号：US20160162753A1

    公开(公告)日：2016-06-09

    申请号：US14945760

    申请日：2015-11-19

    Applicant: CANON KABUSHIKI KAISHA

    Inventor： Yoshinari Higaki

    IPC: G06K9/52 ,  G06K9/46 ,  G06T7/60 ,  G06T7/00

    CPC classification number: G06K9/4604 ,  G06K9/527 ,  G06T7/571

    Abstract: An image processing apparatus comprises an edge detector configured to create first image data including information of an edge part of an image obtained by picking up an object by an image pickup device, a frequency analyzer configured to create second image data by dividing the image into each frequency band, and an output unit configured to output distance information from the image pickup device to the object of the image, based on the first image data and the second image data.

    Abstract translation: 一种图像处理装置，包括：边缘检测器，被配置为产生第一图像数据，该第一图像数据包括由图像拾取装置拾取对象获得的图像的边缘部分的信息;频率分析器，被配置为通过将图像划分为每个图像来创建第二图像数据 以及输出单元，被配置为基于所述第一图像数据和所述第二图像数据从所述图像拾取装置输出到所述图像的对象的距离信息。

    Process and system for identifying damage
    47.
    发明授权
    Process and system for identifying damage 有权
    识别伤害的过程和系统

    公开(公告)号：US09159132B1

    公开(公告)日：2015-10-13

    申请号：US14094957

    申请日：2013-12-03

    Applicant: Ricky Carl Crowsey

    Inventor： Ricky Carl Crowsey

    IPC: G06K9/00 ,  G06T7/00

    CPC classification number: G06K9/0063 ,  G06K9/527 ,  G06T7/262 ,  G06T2207/10016 ,  G06T2207/10032 ,  G06T2207/20064 ,  G06T2207/30184

    Abstract: A process and system to provide damage identification and assessment of damage to a geographic area may include acquiring imagery data of a geographic area, processing the imagery data using wavelet transformation to identify damage to the geographic area and outputting a map showing damage condition of the geographic area. Processing the imagery data may use wavelet transformation that outputs wavelet transformation images. Damage categories for at least one location in the imagery data may be provided using discriminant analysis applied to the wavelet transformation images. The outputted maps and damage categories may be used to assess damage to areas affected by catastrophic-like events such as, e.g., hurricanes, floods, earthquakes, tornadoes and the like. This process is faster and may be more accurate than current assessment techniques thereby permitting quick responses to catastrophic-like events.

    Abstract translation: 为地理区域提供损害识别和损害评估的过程和系统可能包括获取地理区域的图像数据，使用小波变换处理图像数据，以识别对地理区域的损害，并输出显示地理区域的损伤状况的地图 区。 处理图像数据可以使用输出小波变换图像的小波变换。 可以使用应用于小波变换图像的判别分析来提供图像数据中的至少一个位置的损伤类别。 输出的地图和损伤类别可用于评估受灾害性事件影响的地区的损害，例如飓风，洪水，地震，龙卷风等。 这个过程更快，可能比目前的评估技术更准确，从而允许对灾难性事件的快速反应。

    Image retrieval and authentication using enhanced expectation maximization (EEM)
    48.
    发明授权
    Image retrieval and authentication using enhanced expectation maximization (EEM) 有权
    使用增强期望最大化（EEM）的图像检索和认证

    公开(公告)号：US09158791B2

    公开(公告)日：2015-10-13

    申请号：US14345211

    申请日：2012-03-08

    Applicant: Guorong Xuan ,  Yun-Qing Shi

    Inventor： Guorong Xuan ,  Yun-Qing Shi

    IPC: G06K9/00 ,  G06F17/30 ,  G06K9/52 ,  G06K9/62 ,  G06K9/46

    CPC classification number: G06F17/30244 ,  G06F17/30247 ,  G06K9/4642 ,  G06K9/527 ,  G06K9/6277

    Abstract: Technologies are generally presented for employing enhanced expectation maximization (EEM) in image retrieval and authentication. Using uniform distribution as initial condition, the EEM may converge iteratively to a global optimality. If a realization of the uniform distribution is used as the initial condition, the process may also be repeatable. In some examples, a positive perturbation scheme may be used to avoid boundary overflow, often occurring with the conventional EM algorithms. To reduce computation time and resource consumption, a histogram of one dimensional Gaussian Mixture Model (GMM) with two components and wavelet decomposition of an image may be employed.

    Abstract translation: 技术通常用于在图像检索和认证中采用增强的期望最大化（EEM）。 使用均匀分布作为初始条件，EEM可以迭代地收敛到全局最优性。 如果使用均匀分布的实现作为初始条件，则该过程也可以是可重复的。 在一些示例中，可以使用正的扰动方案来避免边界溢出，这通常与传统的EM算法一起发生。 为了减少计算时间和资源消耗，可以采用具有两个分量的一维高斯混合模型（GMM）和图像的小波分解的直方图。

    Method and apparatus for single-particle localization using wavelet analysis
    49.
    发明授权
    Method and apparatus for single-particle localization using wavelet analysis 有权
    使用小波分析的单粒子定位的方法和装置

    公开(公告)号：US09117273B2

    公开(公告)日：2015-08-25

    申请号：US13741606

    申请日：2013-01-15

    Applicant: Jean-Baptiste Sibarita

    Inventor： Jean-Baptiste Sibarita

    IPC: G06T7/00 ,  G02B21/36 ,  G01N21/64 ,  G02B21/00

    CPC classification number: G06K9/00516 ,  G01N21/64 ,  G01N21/6458 ,  G01N2015/0238 ,  G01N2015/1486 ,  G02B21/0076 ,  G02B21/365 ,  G06K9/00127 ,  G06K9/0014 ,  G06K9/0053 ,  G06K9/2027 ,  G06K9/527 ,  G06T7/11 ,  G06T7/168 ,  G06T7/70 ,  G06T7/73 ,  G06T2207/10056 ,  G06T2207/10064 ,  G06T2207/20064

    Abstract: Accurate localization of isolated particles is important in single particle based super-resolution microscopy. It allows the imaging of biological samples with nanometer-scale resolution using a simple fluorescence microscopy setup. Nevertheless, conventional techniques for localizing single particles can take minutes to hours of computation time because they require up to a million localizations to form an image. In contrast, the present particle localization techniques use wavelet-based image decomposition and image segmentation to achieve nanometer-scale resolution in two dimensions within seconds to minutes. This two-dimensional localization can be augmented with localization in a third dimension based on a fit to the imaging system's point-spread function (PSF), which may be asymmetric along the optical axis. For an astigmatic imaging system, the PSF is an ellipse whose eccentricity and orientation varies along the optical axis. When implemented with a mix of CPU/GPU processing, the present techniques are fast enough to localize single particles while imaging (in real-time).

    Abstract translation: 分离颗粒的精确定位在基于单粒子的超分辨率显微镜中是重要的。 它允许使用简单的荧光显微镜设置用纳米级分辨率对生物样品进行成像。 然而，用于定位单个粒子的常规技术可能需要数分钟到数小时的计算时间，因为它们需要多达一百万个本地化来形成图像。 相比之下，现在的粒子定位技术使用基于小波的图像分解和图像分割，可以在数秒到数分钟内实现二维尺度的纳米级分辨率。 基于对成像系统的点扩展函数（PSF）的拟合，可以在第三维度中定位该二维定位，其可以沿着光轴是不对称的。 对于散光成像系统，PSF是其偏心率和取向沿光轴变化的椭圆。 当使用CPU / GPU处理的混合实现时，本技术足够快以在成像（实时）时定位单个粒子。

    Multiscale modulus filter bank and applications to pattern detection, clustering, classification and registration
    50.
    发明授权
    Multiscale modulus filter bank and applications to pattern detection, clustering, classification and registration 有权
    多尺度滤波器组和应用于模式检测，聚类，分类和注册

    公开(公告)号：US08953875B2

    公开(公告)日：2015-02-10

    申请号：US13698169

    申请日：2011-05-26

    Applicant: Stephane Mallat

    Inventor： Stephane Mallat

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/52

    CPC classification number: G06K9/4619 ,  G06K9/527

    Abstract: A digital filter bank having a number J≧1 of stages is disclosed. For each integer j such that 1≦j≦J, the j-th stage includes a plurality of filtering units (20, 21) each receiving an input signal of the j-th stage. These filtering units include a low-pass filtering unit (20) using real filtering coefficients and at least one band-pass filtering unit (21) using complex filtering coefficients. Following each band-pass filtering unit of the j-th stage, a respective modulus processing unit (25) generates a processed real signal as a function of squared moduli of complex output values of the band-pass filtering unit. The input signal of the first stage is a digital signal supplied to the digital filter bank, while for 1

    Abstract translation: 公开了具有J≥1级的数字滤波器组。 对于每个整数j使得1＆nlE; j＆nlE; J，第j级包括多个滤波单元（20,21），每个滤波单元接收第j级的输入信号。 这些滤波单元包括使用实数滤波系数的低通滤波单元（20）和使用复数滤波系数的至少一个带通滤波单元（21）。 在第j级的每个带通滤波单元之后，相应的模数处理单元（25）根据带通滤波单元的复数输出值的平方模生成经处理的实信号。 第一级的输入信号是提供给数字滤波器组的数字信号，而对于1

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