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    SYSTEM AND METHOD FOR WAVING DETECTION BASED ON OBJECT TRAJECTORY
    31.
    发明申请
    SYSTEM AND METHOD FOR WAVING DETECTION BASED ON OBJECT TRAJECTORY 失效
    基于对象轨迹检测的系统和方法

    公开(公告)号：US20100027846A1

    公开(公告)日：2010-02-04

    申请号：US12183994

    申请日：2008-07-31

    Applicant: Ning Xu ,  Haiying Guan

    Inventor： Ning Xu ,  Haiying Guan

    IPC: G06K9/46

    CPC classification number: G06K9/6296 ,  G06K9/00335

    Abstract: A system and method for detecting a waving motion from a sequence of ordered points is disclosed. In one embodiment, the method comprising receiving a sequence of ordered points, selecting a subset of the sequence of ordered points, determining if the subset defines a circular shape, and storing an indication of whether or not the subset defines a waving motion. Various metrics for determining if the subset defines a waving motion, which allow for a trade-off between accuracy and complexity, are disclosed.

    Abstract translation: 公开了一种用于从有序点序列检测挥动运动的系统和方法。 在一个实施例中，所述方法包括接收有序点序列，选择有序点序列的子集，确定子集是否定义圆形，以及存储子集是否定义波动运动的指示。 公开了用于确定子集是否定义波动运动的各种度量，其允许精度和复杂度之间的折衷。

    SYSTEM AND METHOD FOR ESTIMATING THE CENTERS OF MOVING OBJECTS IN A VIDEO SEQUENCE
    32.
    发明申请
    SYSTEM AND METHOD FOR ESTIMATING THE CENTERS OF MOVING OBJECTS IN A VIDEO SEQUENCE 失效
    用于在视频序列中估计移动对象中心的系统和方法

    公开(公告)号：US20090297052A1

    公开(公告)日：2009-12-03

    申请号：US12127738

    申请日：2008-05-27

    Applicant: Ning Xu ,  Yeong-Taeg Kim

    Inventor： Ning Xu ,  Yeong-Taeg Kim

    IPC: G06K9/36

    CPC classification number: G06K9/00711 ,  G06T7/215 ,  G06T2207/10016 ,  G06T2207/30201

    Abstract: Systems and methods for estimating the centers of moving objects in a video sequence are disclose. One embodiment is a method of defining one or more motion centers in a video sequence, the method comprising receiving a video sequence comprising a plurality of frames, receiving a motion history image for each of a subset of the plurality of frames based on the video sequence, identifying, through use of the motion history image, one or more data segments having a first orientation, wherein each data segment having the first orientation has a start location and a length, identifying, one or more data segments having a second orientation, wherein each element of a data segment having the second orientation is associated with a data segment having the first orientation, and defining a corresponding motion center for one or more of the indentified data segments having the second orientation.

    Abstract translation: 公开了用于估计视频序列中的移动物体的中心的系统和方法。 一个实施例是一种在视频序列中定义一个或多个运动中心的方法，该方法包括接收包括多个帧的视频序列，基于视频序列接收多个帧的子集中的每一个的运动历史图像 通过使用运动历史图像来识别具有第一取向的一个或多个数据段，其中具有第一取向的每个数据段具有开始位置和长度，识别具有第二取向的一个或多个数据段，其中 具有第二取向的数据段的每个元素与具有第一取向的数据段相关联，并且为具有第二取向的一个或多个识别数据段定义相应的运动中心。

    SYSTEM AND METHOD FOR OBJECT DETECTION AND CLASSIFICATION WITH MULTIPLE THRESHOLD ADAPTIVE BOOSTING
    33.
    发明申请
    SYSTEM AND METHOD FOR OBJECT DETECTION AND CLASSIFICATION WITH MULTIPLE THRESHOLD ADAPTIVE BOOSTING 失效
    用于多目标自适应增强的对象检测和分类的系统和方法

    公开(公告)号：US20090287620A1

    公开(公告)日：2009-11-19

    申请号：US12122393

    申请日：2008-05-16

    Applicant: Ning Xu

    Inventor： Ning Xu

    IPC: G06F15/18

    CPC classification number: G06N99/005 ,  G06K9/00248 ,  G06K9/623 ,  G06K9/6256

    Abstract: Systems and methods for classifying a object as belonging to an object class or not belonging to an object class using a boosting method with a plurality of thresholds is disclosed. One embodiment is a method of defining a strong classifier, the method comprising receiving a training set of positive and negative samples, receiving a set of features, associating, for each of a first subset of the set of features, a corresponding feature value with each of a first subset of the training set, associating a corresponding weight with each of a second subset of the training set, iteratively i) determining, for each of a second subset of the set of features, a first threshold value at which a first metric is minimized, ii) determining, for each of a third subset of the set of features, a second threshold value at which a second metric is minimized, iii) determining, for each of a forth subset of the set of features, a number of thresholds, iv) determining, for each of a fifth subset of the set of features, an error value based on the determined number of thresholds, v) determining the feature having the lowest associated error value, and vi) updating the weights, defining a strong classifier based on the features having the lowest error value at a plurality of iterations, and classifying a sample as either belonging to an object class or not belonging to an object class based on the strong classifier.

    Abstract translation: 公开了使用具有多个阈值的升压方法将对象分类为属于对象类的对象类的系统和方法。 一个实施例是一种定义强分类器的方法，所述方法包括接收正样本和负样本的训练集合，接收一组特征，将所述特征集合的第一子集中的每一个与每个特征值相关联 训练集合的第一子集，迭代地将对应权重与训练集合的第二子集中的每一个相关联，i）针对特征集合的第二子集中的每一个为第一阈值确定第一度量 最小化，ii）针对所述特征集合的第三子集中的每一个确定第二度量被最小化的第二阈值，iii）为所述特征集合的第四子集中的每一个确定多个 阈值，iv）针对特征集合的第五子集中的每一个确定基于所确定的阈值数量的错误值，v）确定具有最低相关联的错误值的特征，以及vi）更新权重，定义 g是基于在多个迭代中具有最低误差值的特征的强分类器，并且基于强分类器将样本分类为属于对象类的对象类属于对象类。

    Super precision for smoothly changing area based on segmentation and low-pass filtering
    35.
    发明申请
    Super precision for smoothly changing area based on segmentation and low-pass filtering 失效
    基于分割和低通滤波的平滑变化区域的超精度

    公开(公告)号：US20070098293A1

    公开(公告)日：2007-05-03

    申请号：US11264938

    申请日：2005-11-01

    Applicant: Ning Xu ,  Yeong-Taeg Kim

    Inventor： Ning Xu ,  Yeong-Taeg Kim

    IPC: G06K9/40

    CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T2207/10016

    Abstract: A super precision image processing system improves the precision of videos and images and eliminates the stage-like artifacts in the smoothly changing areas. In order to obtain higher precision content, the system segments the input image into connected segments and finds a local support for each pixel based on the segmentation result. The system then applies low-pass filtering to the local support for each pixel and the luminance changes between the filtering result and the original luminance of the pixel are limited to a level such that the output image will have the same higher bits as the input image.

    Abstract translation: 超精密图像处理系统提高了视频和图像的精度，消除了平滑变化的区域中的舞台状伪像。 为了获得更高精度的内容，系统将输入图像分割为连接的分段，并根据分割结果为每个像素找到本地支持。 然后，系统对每个像素对本地支持应用低通滤波，并且滤波结果和像素的原始亮度之间的亮度变化被限制到使得输出图像将具有与输入图像相同的更高位的电平 。

    Toilet
    37.
    外观设计
    Toilet 有权

    公开(公告)号：USD1021023S1

    公开(公告)日：2024-04-02

    申请号：US29837754

    申请日：2022-05-09

    Applicant: Ning Xu

    Designer： Ning Xu

    Abstract: FIG. 1 is a perspective view of the toilet showing my new design;
    FIG. 2 is a perspective view thereof from another angle;
    FIG. 3 is a front elevational view thereof;
    FIG. 4 is a rear elevational view thereof;
    FIG. 5 is a left side elevational view thereof;
    FIG. 6 is a right side elevational view thereof;
    FIG. 7 is a top plan view thereof;
    FIG. 8 is a bottom plan view thereof;
    FIG. 9 is a folded perspective view thereof;
    FIG. 10 is an enlarged view of a portion indicated with numeric 10 in FIG. 2; and,
    FIG. 11 is an enlarged view of a portion indicated with numeric 11 in FIG. 2.

    Press pot
    38.
    外观设计
    Press pot 有权

    公开(公告)号：USD885818S1

    公开(公告)日：2020-06-02

    申请号：US29675428

    申请日：2019-01-02

    Applicant: Ning Xu

    Designer： Ning Xu

    Shredder
    40.
    外观设计
    Shredder 有权

    公开(公告)号：USD835713S1

    公开(公告)日：2018-12-11

    申请号：US29603122

    申请日：2017-05-06

    Applicant: Ning Xu

    Designer： Ning Xu

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