Method and apparatus for tracking object, and method and apparatus for calculating object pose information
    41.
    发明授权
    Method and apparatus for tracking object, and method and apparatus for calculating object pose information 有权
    跟踪对象的方法和装置,以及用于计算物体姿态信息的方法和装置

    公开(公告)号:US08934665B2

    公开(公告)日:2015-01-13

    申请号:US11987281

    申请日:2007-11-28

    IPC分类号: G06K9/00 G06T7/00 G06T7/20

    摘要: A method and apparatus for tracking an object, and a method and apparatus for calculating object pose information are provided. The method of tracking the object obtains object feature point candidates by using a difference between pixel values of neighboring frames. A template matching process is performed in a predetermined region having the object feature point candidates as the center. Accordingly, it is possible to reduce a processing time needed for the template matching process. The method of tracking the object is robust in terms of sudden changes in lighting and partial occlusion. In addition, it is possible to track the object in real time. In addition, since the pose of the object, the pattern of the object, and the occlusion of the object are determined, detailed information on action patterns of the object can be obtained in real time.

    摘要翻译: 提供了一种用于跟踪对象的方法和装置,以及用于计算对象姿势信息的方法和装置。 跟踪对象的方法通过使用相邻帧的像素值之间的差来获得对象特征点候选。 在以对象特征点候选为中心的预定区域中执行模板匹配处理。 因此,可以减少模板匹配处理所需的处理时间。 跟踪对象的方法在照明和部分遮挡的突然变化方面是稳健的。 此外,可以实时跟踪对象。 此外,由于确定了对象的姿态,对象的图案和对象的遮挡,因此可以实时获得关于对象的动作模式的详细信息。

    Automatic gain control method and apparatus for wireless communication systems
    42.
    发明授权
    Automatic gain control method and apparatus for wireless communication systems 失效
    无线通信系统的自动增益控制方法及装置

    公开(公告)号:US08401130B2

    公开(公告)日:2013-03-19

    申请号:US13220401

    申请日:2011-08-29

    申请人: Haitao Wang

    发明人: Haitao Wang

    IPC分类号: H04L27/08

    摘要: A system and method are provided for automatic gain control (AGC) using an adaptive reference and a threshold. An adaptive reference allows for adjusting the target power based on variations in operating parameters and conditions, such as a change to a modulation schemes which requires a different signal to noise ratio (SNR) to maintain performance. A gain adjustment threshold allows for rapid AGC response while reducing the potential effects of hysterisis. AGC levels may be changed during symbol prefixes or suffixes, and avoided during a data portion of a signal. Embodiments allow for symbol-by symbol AGC changes in OFDM, OFDMA, and TDD systems.

    摘要翻译: 提供了一种使用自适应参考和阈值进行自动增益控制(AGC)的系统和方法。 自适应参考允许基于操作参数和条件的变化来调整目标功率,例如需要不同信噪比(SNR)以维持性能的调制方案的改变。 增益调整阈值允许快速AGC响应,同时减少滞后的潜在影响。 AGC电平可以在符号前缀或后缀期间改变,并且在信号的数据部分期间被避免。 实施例允许OFDM,OFDMA和TDD系统中的逐符号AGC改变。

    METHOD FOR DETERMINING LIGHTNING HAZARD DISTRIBUTION OF POWER NETWORK
    43.
    发明申请
    METHOD FOR DETERMINING LIGHTNING HAZARD DISTRIBUTION OF POWER NETWORK 有权
    确定电力网络雷电危险分布的方法

    公开(公告)号:US20100286954A1

    公开(公告)日:2010-11-11

    申请号:US12811594

    申请日:2009-04-07

    IPC分类号: G06F17/18

    CPC分类号: G01D21/00 G06Q50/06 Y04S10/60

    摘要: A method for determining a lightning hazard distribution of a power network, includes: deriving a shielding failure lightning hazard distribution of the power network and a back flashover lightning hazard distribution of the power network from the number of ground lightning in each grid and ranges of hazardous currents, and deriving a historical lightning hazard distribution of the power network from a lightning faults database of the power network and the grids; and determining the lightning hazard distribution of the power network by integrating the shielding failure lightning hazard distribution of the power network, the back flashover lightning hazard distribution of the power network and the historical lightning hazard distribution of the power network.

    摘要翻译: 一种确定电力网雷电危险分布的方法,包括:从每个电网中的地面雷电数量导出电网的屏蔽故障雷电危险分布和电网的背闪电雷击危险分布,以及危险范围 并从电力网络和电网的雷击故障数据库中导出电力网络的历史雷电灾害分布; 通过整合电网屏蔽故障雷电危害分布,电网背后闪电雷电危害分布和电网历史闪电危险分布,确定电网雷电危害分布。

    Object verification apparatus and method
    44.
    发明申请
    Object verification apparatus and method 有权
    对象验证装置和方法

    公开(公告)号:US20070203904A1

    公开(公告)日:2007-08-30

    申请号:US11708558

    申请日:2007-02-21

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30271 G06K9/6292

    摘要: Provided are an object verification apparatus and method. The object verification apparatus includes a matching unit performing a plurality of different matching algorithms on a query image and generating a plurality of scores; a score normalization unit normalizing each of the generated scores to be adaptive to the query image; a weight estimation unit estimating weights of the normalized scores based on the respective matching algorithms applied; and a score fusion unit fusing the normalized scores by respectively applying the weights estimated by the weight estimation unit to the normalized scores.

    摘要翻译: 提供了一种对象验证装置和方法。 对象验证装置包括对查询图像执行多个不同匹配算法并生成多个分数的匹配单元; 将所生成的分数的每一个标准化为适应于所述查询图像的分数归一化单元; 权重估计单元,基于所应用的各个匹配算法估计归一化分数的权重; 以及分数融合单元,通过将由所述权重估计单元估计的权重分别应用于所述归一化分数来使所述归一化分数融合。

    Image verification method, medium, and apparatus using a kernel based discriminant analysis with a local binary pattern (LBP)
    45.
    发明申请
    Image verification method, medium, and apparatus using a kernel based discriminant analysis with a local binary pattern (LBP) 失效
    使用基于内核的判别分析与局部二进制模式(LBP)的图像验证方法,介质和装置,

    公开(公告)号:US20070112699A1

    公开(公告)日:2007-05-17

    申请号:US11454913

    申请日:2006-06-19

    IPC分类号: G06F15/18

    摘要: A image verification method, medium, and apparatus using a local binary pattern (LBP) discriminant technique. The verification method includes generating a kernel fisher discriminant analysis (KFDA) basis vector by using the LBP feature of an input image, obtaining a Chi square inner product by using the LBP feature of an image registered in advance and a kernel LBP feature and projecting to a KFDA basis vector, obtaining a Chi square inner product by using the LBP feature of a query image and a kernel LBP feature and projecting to a KFDA basis vector, and obtaining the similarity degree of the target image and the query image that are obtained as Chi square inner product results, and projected to the KFDA basis vector. According to the method, medium, and apparatus, the KFDA based LBP shows superior performance over conventional LBP, KFDA, and biometric experimentation environment (BEE) baseline algorithms.

    摘要翻译: 一种使用局部二值模式(LBP)判别技术的图像验证方法,介质和装置。 验证方法包括通过使用输入图像的LBP特征来生成内核渔夫判别分析(KFDA)基向量,通过使用预先登记的图像的LBP特征和核LBP特征来获得奇方内积,并且投影到 KFDA基矢量,通过使用查询图像的LBP特征和内核LBP特征获得奇方内积,并且投影到KFDA基向量,并且获得被获得的目标图像和查询图像的相似度 Chi Square内部产品成果,并预计以KFDA为基础。 根据该方法,介质和装置,基于KFDA的LBP显示出优于常规LBP,KFDA和生物测定实验环境(BEE)基线算法的性能。

    Method, apparatus, and medium for removing shading of image
    46.
    发明申请
    Method, apparatus, and medium for removing shading of image 审中-公开
    用于去除图像阴影的方法,设备和介质

    公开(公告)号:US20060285769A1

    公开(公告)日:2006-12-21

    申请号:US11455772

    申请日:2006-06-20

    IPC分类号: G06K9/40

    摘要: A method, apparatus, and medium for removing shading of an image are provided. The method of removing shading of an image includes: smoothing an input image; performing a gradient operation for the input image; performing normalization using the smoothed image and the images for which the gradient operation is performed; and integrating the normalized images. The apparatus for removing shading of an image includes: a smoothing unit smoothing an input image using a predetermined smoothing kernel; a gradient operation unit performing a gradient operation for the input image using a predetermined gradient operator; a normalization unit performing normalization using the smoothed image and the images for which the gradient operation is performed; and an image integration unit integrating the normalized images. According to the method, apparatus, and medium, by defining a face image model analysis and intrinsic and extrinsic factors and setting up a rational assumption, an integral normalized gradient image not sensitive to illumination is provided. Also, by employing an anisotropic diffusion method, a moire phenomenon in an edge region of an image can be avoided.

    摘要翻译: 提供了用于去除图像的阴影的方法,装置和介质。 去除图像的阴影的方法包括:平滑输入图像; 对所述输入图像执行梯度操作; 使用平滑化图像和执行梯度操作的图像来执行归一化; 并整合归一化图像。 用于去除图像的阴影的装置包括:平滑单元,使用预定的平滑核平滑输入图像; 梯度操作单元,使用预定的梯度算子对所述输入图像执行梯度操作; 归一化单元,其使用所述平滑图像和执行了所述梯度操作的图像来执行归一化; 以及整合归一化图像的图像积分单元。 根据该方法,装置和介质,通过定义面部图像模型分析和内在和外在因素并建立合理假设,提供了对照明不敏感的积分归一化梯度图像。 此外,通过使用各向异性扩散法,可以避免图像边缘区域中的莫尔条纹现象。

    Object verification apparatus and method
    49.
    发明授权
    Object verification apparatus and method 有权
    对象验证装置和方法

    公开(公告)号:US08219571B2

    公开(公告)日:2012-07-10

    申请号:US11708558

    申请日:2007-02-21

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30271 G06K9/6292

    摘要: Provided are an object verification apparatus and method. The object verification apparatus includes a matching unit performing a plurality of different matching algorithms on a query image and generating a plurality of scores; a score normalization unit normalizing each of the generated scores to be adaptive to the query image; a weight estimation unit estimating weights of the normalized scores based on the respective matching algorithms applied; and a score fusion unit fusing the normalized scores by respectively applying the weights estimated by the weight estimation unit to the normalized scores.

    摘要翻译: 提供了一种对象验证装置和方法。 对象验证装置包括对查询图像执行多个不同匹配算法并生成多个分数的匹配单元; 将所生成的分数的每一个标准化为适应于所述查询图像的分数归一化单元; 权重估计单元,基于所应用的各个匹配算法估计归一化分数的权重; 以及分数融合单元,通过将由所述权重估计单元估计的权重分别应用于所述归一化分数来使所述归一化分数融合。

    Video processing method for 3D display based on multi-cue process
    50.
    发明申请
    Video processing method for 3D display based on multi-cue process 有权
    基于多线程过程的3D显示视频处理方法

    公开(公告)号:US20120007960A1

    公开(公告)日:2012-01-12

    申请号:US13067465

    申请日:2011-06-02

    IPC分类号: H04N13/04

    摘要: A video processing method for a three-dimensional (3D) display is based on a multi-cue process. The method may include acquiring a cut boundary of a shot by performing a shot boundary detection with respect to each frame of an input video, computing a texture saliency with respect to each pixel of the input video, computing a motion saliency with respect to each pixel of the input video, computing an object saliency with respect to each pixel of the input video based on the acquired cut boundary of the shot, acquiring a universal saliency with respect to each pixel of the input video by combining the texture saliency, the motion saliency, and the object saliency, and smoothening the universal saliency of each pixel using a space-time technology.

    摘要翻译: 用于三维(3D)显示的视频处理方法基于多提示过程。 该方法可以包括通过对输入视频的每个帧执行镜头边界检测来获取镜头的切割边界,计算相对于输入视频的每个像素的纹理显着性,计算相对于每个像素的运动显着性 基于拍摄的所获取的切割边界,针对输入视频的每个像素计算对象的显着性,通过组合纹理显着性,运动显着性来获取关于输入视频的每个像素的通用显着性 和物体的显着性,并利用时空技术平滑每个像素的普遍显着性。