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    Method and apparatus for recognizing gesture in image processing system
    2.
    发明授权
    Method and apparatus for recognizing gesture in image processing system 有权
    用于识别图像处理系统中的手势的方法和装置

    公开(公告)号：US08014567B2

    公开(公告)日：2011-09-06

    申请号：US11778724

    申请日：2007-07-17

    申请人： Ho Sub Yoon ,  Su Young Chi ,  Do Hyung Kim ,  Hye Jin Kim ,  Jae Yeon Lee

    发明人： Ho Sub Yoon ,  Su Young Chi ,  Do Hyung Kim ,  Hye Jin Kim ,  Jae Yeon Lee

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00355 ,  G06K9/00228

    摘要： A method and apparatus for recognizing a gesture in an image processing system. In the apparatus, an input unit receives an image obtained by capturing a gesture of a user using a camera. A detector detects a face area in the input image, and detects a hand area in gesture search areas. The gesture search areas being set by dividing the image into predetermined areas with reference to a predetermined location of the detected face area. A controller sets the gesture search areas, determines whether a gesture occurs in the detected hand area, and selects a detection area with respect to the gesture to generate a control command for controlling an image device. A calculator calculates skin-color information and differential-area information for checking a gesture in the detected hand area. Accordingly, a hand area can be accurately detected, and a gesture can be separated from peripheral movement information, so that mal-functioning caused by gesture recognition can be reduced.

    摘要翻译： 一种用于在图像处理系统中识别手势的方法和装置。 在该装置中，输入单元接收通过使用相机拍摄用户的手势而获得的图像。 检测器检测输入图像中的面部区域，并且检测手势搜索区域中的手区域。 参考检测到的面部区域的预定位置，将图像划分成预定区域来设置手势搜索区域。 控制器设置手势搜索区域，确定在检测到的手区域中是否发生手势，并且针对手势选择检测区域，以生成用于控制图像装置的控制命令。 计算器计算皮肤颜色信息和差分区域信息，用于检测检测到的手区域中的手势。 因此，可以精确地检测手区域，并且可以将手势与周边运动信息分离，从而可以减少由手势识别引起的误功能。

    Gesture recognition apparatus, robot system including the same and gesture recognition method using the same
    3.
    发明授权
    Gesture recognition apparatus, robot system including the same and gesture recognition method using the same 有权
    手势识别装置，包括相同的机器人系统和使用其的手势识别方法

    公开(公告)号：US09129154B2

    公开(公告)日：2015-09-08

    申请号：US12638302

    申请日：2009-12-15

    申请人： Do Hyung Kim ,  Jae Yeon Lee ,  Woo Han Yun ,  Su Young Chi ,  Ho Sub Yoon ,  Hye Jin Kim ,  Young Woo Yoon

    发明人： Do Hyung Kim ,  Jae Yeon Lee ,  Woo Han Yun ,  Su Young Chi ,  Ho Sub Yoon ,  Hye Jin Kim ,  Young Woo Yoon

    IPC分类号： H04N7/18 ,  G06K9/00

    CPC分类号： G06K9/00355

    摘要： Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.

    摘要翻译： 提供了一种手势识别装置。 手势识别装置包括人体检测单元，手势区域设定区域，手臂检测单元和手势判定单元。 人体检测单元从输入图像检测用户的脸部区域。 手势区域设定单元相对于检测到的脸部区域设定手势区域，在手势区域中发生用户手臂的手势。 手臂检测单元在手势区域中检测用户的手臂区域。 手势确定单元分析手势区域中的手臂区域的位置，移动方向性和形状信息，以确定用户的目标手势。 这样的手势识别装置可以用作机器人难以识别用户的语音的长距离人机交互的有用手段。

    Method and apparatus for shoulder-line detection and gesture spotting detection
    4.
    发明授权
    Method and apparatus for shoulder-line detection and gesture spotting detection 有权
    用于肩线检测和手势点检测的方法和装置

    公开(公告)号：US08204311B2

    公开(公告)日：2012-06-19

    申请号：US11673696

    申请日：2007-02-12

    申请人： Hye Jin Kim ,  Ho Sub Yoon ,  Do Hyung Kim ,  Jae Yeon Lee

    发明人： Hye Jin Kim ,  Ho Sub Yoon ,  Do Hyung Kim ,  Jae Yeon Lee

    IPC分类号： G06K9/48

    CPC分类号： G06K9/00335

    摘要： A gesture spotting detection method and apparatus employ a shoulder-line algorithm. The shoulder-line detecting method recognizes a GSD calling gesture that occurs in a shoulder-line, head or higher part in a remote distance or a short distance, although a user does not have a fixed posture. In the method, an image of people is received, and skin information of a person in the image is detected to detect a face area. Then, the cloth color information of the person is modeled from the inputted image to detect a cloth area. An external space is defined from the image based on the body space area, and an edge is extracted from the image based on the body space and the external space. Then, shoulder-line information is acquired based on an energy function obtained based on the body space, the external space, and the edge.

    摘要翻译： 手势点检测方法和装置采用肩线算法。 肩线检测方法识别在远程或短距离的肩线，头部或更高部位发生的GSD呼叫手势，尽管用户不具有固定的姿势。 在该方法中，接收人的图像，并且检测图像中的人的皮肤信息以检测面部区域。 然后，根据输入的图像对人的布颜色信息进行建模，以检测布面积。 基于身体空间区域从图像中定义外部空间，并且基于身体空间和外部空间从图像提取边缘。 然后，基于基于体空间，外部空间和边缘获得的能量函数来获取肩线信息。

    GESTURE RECOGNITION APPARATUS, ROBOT SYSTEM INCLUDING THE SAME AND GESTURE RECOGNITION METHOD USING THE SAME
    5.
    发明申请
    GESTURE RECOGNITION APPARATUS, ROBOT SYSTEM INCLUDING THE SAME AND GESTURE RECOGNITION METHOD USING THE SAME 有权
    识别装置，包括其的机器人系统和使用其的姿势识别方法

    公开(公告)号：US20110001813A1

    公开(公告)日：2011-01-06

    申请号：US12638302

    申请日：2009-12-15

    申请人： Do Hyung KIM ,  Jae Yeon Lee ,  Woo Han Yun ,  Su Young Chi ,  Ho Sub Yoon ,  Hye Jin Kim ,  Young Woo Yoon

    发明人： Do Hyung KIM ,  Jae Yeon Lee ,  Woo Han Yun ,  Su Young Chi ,  Ho Sub Yoon ,  Hye Jin Kim ,  Young Woo Yoon

    IPC分类号： H04N7/18 ,  G06K9/46 ,  G06K9/00

    CPC分类号： G06K9/00355

    摘要： Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.

    摘要翻译： 提供了一种手势识别装置。 手势识别装置包括人体检测单元，手势区域设定区域，手臂检测单元和手势判定单元。 人体检测单元从输入图像检测用户的脸部区域。 手势区域设定单元相对于检测到的脸部区域设定手势区域，在手势区域中发生用户手臂的手势。 手臂检测单元在手势区域中检测用户的手臂区域。 手势确定单元分析手势区域中的手臂区域的位置，移动方向性和形状信息，以确定用户的目标手势。 这样的手势识别装置可以用作机器人难以识别用户的语音的长距离人机交互的有用手段。

    Apparatus and method for recognizing identifier of vehicle
    6.
    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 for online signature verification using pattern transform technique and method therefor
    8.
    发明授权
    Apparatus for online signature verification using pattern transform technique and method therefor 失效
    使用模式变换技术进行在线签名验证的装置及其方法

    公开(公告)号：US07454042B2

    公开(公告)日：2008-11-18

    申请号：US10532301

    申请日：2003-03-18

    申请人： Jae Yeon Lee ,  Yun Koo Chung ,  Jung Soh ,  Byung Tae Chun ,  Ho Sub Yoon ,  Kyu Seo Han ,  Do-Hyung Kim ,  Yongwha Chung

    发明人： Jae Yeon Lee ,  Yun Koo Chung ,  Jung Soh ,  Byung Tae Chun ,  Ho Sub Yoon ,  Kyu Seo Han ,  Do-Hyung Kim ,  Yongwha Chung

    IPC分类号： G06K9/46

    CPC分类号： G06K9/00154

    摘要： In an apparatus for online signature verification, a signature data input unit digitalizes a locus of a user signature and reads the locus as a sequence of points. A first and a second pattern transform unit performs a speed equalization and a velocity transform on the signature sequence and generates a first and a second transformed pattern sequence, respectively. A characteristics extraction unit extracts three characteristics vectors from the signature sequence, the first and the second transformed pattern sequence, respectively, to thereby generate the three characteristics vectors. A difference vector estimation unit generates a difference vector. A determination unit determines whether an input signature and the reference signature are signed by a single person.

    摘要翻译： 在用于在线签名验证的装置中，签名数据输入单元将用户签名的轨迹数字化，并将该轨迹读取为点序列。 第一和第二图案变换单元对签名序列执行速度均衡和速度变换，并分别产生第一和第二变换图案序列。 特征提取单元从签名序列，第一和第二变换图案序列分别提取三个特征向量，从而生成三个特征向量。 差矢量估计单元产生差矢量。 确定单元确定输入签名和参考签名是否由单个人签名。

    Face detecting system and method using symmetric axis
    9.
    发明授权
    Face detecting system and method using symmetric axis 有权
    使用对称轴的人脸检测系统和方法

    公开(公告)号：US07426287B2

    公开(公告)日：2008-09-16

    申请号：US10872471

    申请日：2004-06-22

    申请人： Ho Sub Yoon ,  Do Hyung Kim ,  Jung Soh ,  Jae Yeon Lee

    发明人： Ho Sub Yoon ,  Do Hyung Kim ,  Jung Soh ,  Jae Yeon Lee

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00241

    摘要： A face detecting system using a symmetric axis includes: an image inputting unit for inputting a still image thereto; an image converting unit for reducing the inputted image to a first certain size of image for a real-time process by using a pyramidal resolution reduction way; a scanning unit for scanning the reduced image by applying a second certain size of symmetric mask; a region dividing unit for dividing a region of the scanned mask into a left region and a right region with respect to the symmetric axis; a symmetric-similarity computing unit for computing a symmetric similarity of a local region at the two divided regions and then computing a symmetric similarity of a global region to compute a symmetric similarity of a face region; and a face region extracting unit for extracting a region having a symmetric axis at which the computed symmetric similarity is above a predetermined value, as the face region.

    摘要翻译： 使用对称轴的脸部检测系统包括：用于向其输入静止图像的图像输入单元; 图像转换单元，用于通过使用金字塔形分辨率降低方式将输入的图像减少到用于实时处理的第一特定大小的图像; 扫描单元，用于通过应用第二特定大小的对称掩模来扫描缩小图像; 区域划分单元，用于将扫描的掩模的区域相对于对称轴分成左区域和右区域; 对称相似度计算单元，用于计算所述两个分割区域处的局部区域的对称相似度，然后计算全局区域的对称相似度，以计算面部区域的对称相似度; 以及面部区域提取单元，用于提取具有所计算的对称相似度高于预定值的对称轴的区域作为面部区域。

    System for recognizing disguised face using gabor feature and SVM classifier and method thereof
    10.
    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。