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31 条记录 (耗时 0.061 秒)

    Apparatus and method for recognizing identifier of vehicle
    2.
    发明授权
    Apparatus and method for recognizing identifier of vehicle 有权
    用于识别车辆识别符的装置和方法

    公开(公告)号：US08548201B2

    公开(公告)日：2013-10-01

    申请号：US13224178

    申请日：2011-09-01

    申请人： Ho Sub Yoon ,  Kyu Dae Ban ,  Young Woo Yoon ,  Woo Han Yun ,  Do Hyung Kim ,  Jae Yeon Lee ,  Jae Hong Kim ,  Su Young Chi ,  Joo Chan Sohn

    发明人： Ho Sub Yoon ,  Kyu Dae Ban ,  Young Woo Yoon ,  Woo Han Yun ,  Do Hyung Kim ,  Jae Yeon Lee ,  Jae Hong Kim ,  Su Young Chi ,  Joo Chan Sohn

    IPC分类号： G06K9/00

    CPC分类号： G06K9/6256 ,  G06K9/3258

    摘要： The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.

    摘要翻译： 本发明基于通过先前学习各种类型的车牌而获得的结果检测与字符串/图形串相关联的候选ROI组，通过使用五个预定条件的至少一个条件来检验感兴趣区域候选组， 并且通过考虑ROI区域的高度和宽度之间的比率来识别汽车的车牌，从所验证的感兴趣区域候选组中确定所选择的ROI区域中的MBR区域。 根据本发明，无论为每个国家定义的各种类型的车牌规格如何，都可以自动检测车牌的位置。

    Apparatus and method for tracking hand
    4.
    发明授权
    Apparatus and method for tracking hand 有权
    用于跟踪手的装置和方法

    公开(公告)号：US09280703B2

    公开(公告)日：2016-03-08

    申请号：US13596523

    申请日：2012-08-28

    申请人： Woo Han Yun ,  Jae Yeon Lee ,  Do Hyung Kim ,  Jae Hong Kim ,  Joo Chan Sohn

    发明人： Woo Han Yun ,  Jae Yeon Lee ,  Do Hyung Kim ,  Jae Hong Kim ,  Joo Chan Sohn

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00355

    摘要： Disclosed are an apparatus for tracking a location of a hand, includes: a skin color image detector for detecting a skin color region from an image input from an image device using a predetermined skin color of a user; a face tracker for tracking a face using the detected skin color image; a motion detector for setting a ROI using location information of the tracked face, and detecting a motion image from the set ROI; a candidate region extractor for extracting a candidate region with respect to a hand of the user using the skin color image detected by the skin color image detector and the motion image detected by the motion detector; and a hand tracker for tracking a location of the hand in the extracted candidate region to find out a final location of the hand.

    摘要翻译： 公开了一种用于跟踪手的位置的装置，包括：皮肤彩色图像检测器，用于使用用户的预定皮肤颜色从图像设备输入的图像中检测皮肤颜色区域; 面部跟踪器，用于使用检测到的肤色图像跟踪脸部; 运动检测器，用于使用所跟踪的面部的位置信息来设置ROI，以及从所设置的ROI检测运动图像; 候选区域提取器，用于使用由肤色图像检测器检测到的肤色图像和由运动检测器检测的运动图像提取相对于用户的手的候选区域; 以及用于跟踪所提取的候选区域中的手的位置以找出手的最终位置的手跟踪器。

    APPARATUS AND METHOD FOR TRACKING HAND
    5.
    发明申请
    APPARATUS AND METHOD FOR TRACKING HAND 有权
    跟踪手段和方法

    公开(公告)号：US20130177204A1

    公开(公告)日：2013-07-11

    申请号：US13596523

    申请日：2012-08-28

    申请人： Woo Han YUN ,  Jae Yeon Lee ,  Do Hyung Kim ,  Jae Hong Kim ,  Joo Chan Sohn

    发明人： Woo Han YUN ,  Jae Yeon Lee ,  Do Hyung Kim ,  Jae Hong Kim ,  Joo Chan Sohn

    IPC分类号： G06K9/62

    CPC分类号： G06K9/00355

    摘要： Disclosed are an apparatus for tracking a location of a hand, includes: a skin color image detector for detecting a skin color region from an image input from an image device using a predetermined skin color of a user; a face tracker for tracking a face using the detected skin color image; a motion detector for setting a ROI using location information of the tracked face, and detecting a motion image from the set ROI; a candidate region extractor for extracting a candidate region with respect to a hand of the user using the skin color image detected by the skin color image detector and the motion image detected by the motion detector; and a hand tracker for tracking a location of the hand in the extracted candidate region to find out a final location of the hand.

    摘要翻译： 公开了一种用于跟踪手的位置的装置，包括：皮肤彩色图像检测器，用于使用用户的预定皮肤颜色从图像设备输入的图像中检测皮肤颜色区域; 面部跟踪器，用于使用检测到的肤色图像跟踪脸部; 运动检测器，用于使用所跟踪的面部的位置信息来设置ROI，以及从所设置的ROI检测运动图像; 候选区域提取器，用于使用由肤色图像检测器检测到的肤色图像和由运动检测器检测的运动图像提取相对于用户的手的候选区域; 以及用于跟踪所提取的候选区域中的手的位置以找出手的最终位置的手跟踪器。

    Component recognizing apparatus and component recognizing method
    6.
    发明授权
    Component recognizing apparatus and component recognizing method 有权
    元件识别装置和元件识别方法

    公开(公告)号：US09008440B2

    公开(公告)日：2015-04-14

    申请号：US13545629

    申请日：2012-07-10

    申请人： Kye Kyung Kim ,  Woo Han Yun ,  Hye Jin Kim ,  Su Young Chi ,  Jae Yeon Lee ,  Mun Sung Han ,  Jae Hong Kim ,  Joo Chan Sohn

    发明人： Kye Kyung Kim ,  Woo Han Yun ,  Hye Jin Kim ,  Su Young Chi ,  Jae Yeon Lee ,  Mun Sung Han ,  Jae Hong Kim ,  Joo Chan Sohn

    IPC分类号： G06K9/48 ,  G06K9/62 ,  G06K9/00 ,  G06T7/00

    CPC分类号： G06K9/00 ,  G06K2209/19 ,  G06T7/12 ,  G06T7/74 ,  G06T2207/30164

    摘要： Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.

    摘要翻译： 公开了一种部件识别装置和部件识别方法。 该分量识别装置包括：图像预处理单元，被配置为通过使用多个边缘检测技术从输入分量图像中提取分量边缘，并且通过使用所提取的分量边缘来检测分量区域; 特征提取单元，被配置为从检测到的分量区域中提取分量特征，并通过使用分量特征来创建特征向量; 以及分量识别单元，被配置为将所创建的特征向量输入到通过多个分量图像样本预先学习识别分量类别的人造神经网络，并根据结果识别组件类别。

    Method and apparatus for sequencing off-line character from natural scene
    7.
    发明授权
    Method and apparatus for sequencing off-line character from natural scene 有权
    从自然场景中排除离线角色的方法和装置

    公开(公告)号：US08934716B2

    公开(公告)日：2015-01-13

    申请号：US13599111

    申请日：2012-08-30

    申请人： Ho Sub Yoon ,  Ji Eun Kim ,  Kyu Dae Ban ,  Dong Jin Lee ,  Jae Hong Kim ,  Joo Chan Sohn

    发明人： Ho Sub Yoon ,  Ji Eun Kim ,  Kyu Dae Ban ,  Dong Jin Lee ,  Jae Hong Kim ,  Joo Chan Sohn

    IPC分类号： G06K9/34 ,  G06K9/46

    CPC分类号： G06K9/00865 ,  G06K9/3258 ,  G06K9/348 ,  G06K2209/01

    摘要： Disclosed is a method of sequencing character information in order to increase precision of character recognition. The method includes: a pre-processing that extracts character information from an image to binarize the extracted character information through a predetermined threshold and extracts and thins a center line of the binarized character information; normalizing the pre-processed character information to character information according to a predetermined criteria; and sequencing the normalized character information using structural features including an end point or a divergence point of the character information. The present invention suggests an angle normalization method of input character information, a structural feature position determining method, and a structural feature numeral string generating method to strongly recognize characters configured by various fonts obtained from a natural scene regardless of an angle or a size of the characters.

    摘要翻译： 公开了一种对字符信息进行排序以提高字符识别精度的方法。 该方法包括：预处理，其从图像提取字符信息，以将所提取的字符信息二值化为预定阈值，并提取并清除二值化字符信息的中心线; 根据预定标准将预处理字符信息规范化为字符信息; 以及使用包括字符信息的终点或发散点的结构特征对归一化字符信息进行排序。 本发明提出一种输入字符信息的角度归一化方法，结构特征位置确定方法和结构特征数字串生成方法，用于强烈地识别从自然场景获得的各种字体配置的字符，而不管角度或尺寸如何 人物。

    System for recognizing disguised face using gabor feature and SVM classifier and method thereof
    8.
    发明授权
    System for recognizing disguised face using gabor feature and SVM classifier and method thereof 有权
    使用gabor特征和SVM分类器识别伪装脸的系统及其方法

    公开(公告)号：US08913798B2

    公开(公告)日：2014-12-16

    申请号：US13565022

    申请日：2012-08-02

    申请人： Kye Kyung Kim ,  Jae Yeon Lee ,  Ho Sub Yoon ,  Jae Hong Kim ,  Joo Chan Sohn

    发明人： Kye Kyung Kim ,  Jae Yeon Lee ,  Ho Sub Yoon ,  Jae Hong Kim ,  Joo Chan Sohn

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00 ,  G06K9/00288 ,  G06K9/00899

    摘要： Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention.The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.

    摘要翻译： 公开了根据本发明的使用Gabor特征和支持向量机（SVM）分类器识别伪装脸部的系统和方法。 用于识别伪装脸部的系统包括：图形生成装置，用于从多个面部图像样本生成单个标准面部图形; 支持向量机（SVM）学习装置，用于确定用于从多个面部图像样本和伪装的面部图像样本中鉴别伪装的脸部的最佳分类平面; 以及面部识别装置，用于当要输入要识别的面部图像时，使用标准面图和最佳分类平面来确定输入面部图像是否伪装。