公开(公告)号：KR101406334B1

公开(公告)日：2014-06-19

申请号：KR1020130043174

申请日：2013-04-18

Applicant: 전북대학교산학협력단 ,  목포대학교산학협력단 ,  주식회사 헤드아이티

Inventor： 유혁민 ,  박동선 ,  윤숙 ,  라정진

IPC: G06T7/20 ,  G06K9/46 ,  H04N7/18

CPC classification number: G06T7/254 ,  G06K9/4642 ,  G06K9/4652 ,  G06K9/6267

Abstract: According to the present invention, a system for tracking multiple objects may be provided. The system includes a background removal unit that updates a background model when an image is input, produces a new background image from the image, and obtains a foreground image that has been background-removed through image differencing between the image and the background image; a characteristic point determination unit that determines a characteristic point represented on the image and the foreground image with reference to a characteristic tree and extracts a determined characteristic point; a situation selection unit that uses the characteristic point extracted through the characteristic point determination unit to select the situation of an object represented on the image as any one of pre-classified situations; an object determination unit that compares a pre-stored object model with a characteristic point extracted from the image having occlusion when the state of the object is selected as occlusion, separates the object and determines the motion of the object; and an object tracking unit that updates the motion of the object determined through the object determination unit, predicts the motion of the object and then transfers the motion of the predicted object of the object to the situation selection unit through tracking inform.

Abstract translation: 根据本发明，可以提供用于跟踪多个对象的系统。 该系统包括背景去除单元，其在输入图像时更新背景模型，从图像生成新的背景图像，并通过图像和背景图像之间的图像差异获得背景去除的前景图像; 特征点确定单元，参考特征树确定在图像和前景图像上表示的特征点，并提取确定的特征点; 使用通过特征点确定单元提取的特征点的情景选择单元，将图像上表示的对象的状况选择为预分类情况; 对象确定单元，当选择对象的状态作为遮挡时，将预先存储的对象模型与从具有遮挡的图像提取的特征点进行比较，分离对象并确定对象的运动; 以及对象跟踪单元，其更新通过对象确定单元确定的对象的运动，预测对象的运动，然后通过跟踪通知将对象的预测对象的运动传送到情境选择单元。

公开(公告)号：KR101440236B1

公开(公告)日：2014-09-12

申请号：KR1020130067847

申请日：2013-06-13

Applicant: 전북대학교산학협력단 ,  목포대학교산학협력단

Inventor： 양상훈 ,  유혁민 ,  박동선 ,  윤숙 ,  박정권

IPC: G01N23/223

CPC classification number: G01N23/223 ,  G01N23/04 ,  G01N23/2076 ,  G01N2223/076 ,  G01N2223/304 ,  G01N2223/313 ,  G01R23/167

Abstract: The present invention relates to a method to analyze X-ray fluorescence and a method to remove backgrounds for the same, which accurately and efficiently removes backgrounds included in a spectrum for X-ray fluorescence analysis. A method to divide spectrum sections comprises: a step of creating a cumulative graph by performing multi-resolution analysis on spectrum data, and by collecting and accumulating differences of the analysis results; a step of detecting section division points by considering a gradient of the cumulative graph and the gradient rate; a step of dividing the spectrum data into sections based on the section division points; a step of firstly removing the backgrounds included in the spectrum data by classifying sections, where symbols of the differences of the analysis results are crossed and changes into a peak area, and the remaining sections into a background area; and a step of estimating the remaining background in the peak area and secondly removing backgrounds by fitting a beginning point and an end point of the peak area through a linear function or an exponential function.

Abstract translation: 本发明涉及一种分析X射线荧光的方法和一种去除其背景的方法，其精确有效地去除了包括在X射线荧光分析的光谱中的背景。 分割频谱部分的方法包括：通过对频谱数据进行多分辨率分析，并通过收集和累积分析结果的差异来创建累积图的步骤; 通过考虑累积图的梯度和梯度率来检测区间分割点的步骤; 基于区段分割点将频谱数据划分为多个部分的步骤; 首先通过分类部分去除包括在频谱数据中的背景的步骤，其中分析结果的差异的符号被越过并变成峰值区域，其余部分进入背景区域; 以及通过线性函数或指数函数拟合峰值区域的起点和终点来估计峰值区域中的剩余背景并且其次去除背景的步骤。

公开(公告)号：KR101440237B1

公开(公告)日：2014-09-12

申请号：KR1020130070761

申请日：2013-06-20

Applicant: 전북대학교산학협력단 ,  목포대학교산학협력단

Inventor： 양상훈 ,  유혁민 ,  박동선 ,  윤숙 ,  박정권

IPC: G01N23/223

CPC classification number: G01N23/223 ,  G01N23/2076 ,  G01N2223/076 ,  G01N2223/313 ,  G01T1/36 ,  G06F17/17

Abstract: The present invention relates to a method to divide spectrum sections to apply an interval threshold method even to XRF spectrum data with random properties by dividing the sections of the XRF spectrum using peak size characteristics, and to a method to analyze X-ray fluorescence using the same. The method to divide spectrum sections comprises: a step of reducing spectrum data through down sampling and then differentiating the reduced signal; a step of creating a cumulative graph by accumulating the differentiation results of the reduced signal; a step of detecting section division points using a gradient of the cumulative graph and the gradient rate; and a step of dividing the spectrum data into sections based on the section division points.

Abstract translation: 本发明涉及通过使用峰值特性划分XRF频谱的各部分来分割频谱部分以应用间隔阈值法甚至具有随机特性的XRF频谱数据的方法，以及使用该方法来分析X射线荧光 相同。 分割频谱部分的方法包括：通过下采样减少频谱数据，然后对减小的信号进行微分的步骤; 通过累加减小的信号的微分结果来产生累积图的步骤; 使用累积图的梯度和梯度率来检测区间分割点的步骤; 以及基于部分分割点将频谱数据划分为多个部分的步骤。