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    Apparatus and method for recognizing identifier of vehicle
    1.
    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。

    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 sequencing off-line character from natural scene
    4.
    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。

    Method and apparatus for shoulder-line detection and gesture spotting detection
    5.
    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
    6.
    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。

    User authentication system and method thereof
    7.
    发明授权
    User authentication system and method thereof 有权
    用户认证系统及其方法

    公开(公告)号：US07634113B2

    公开(公告)日：2009-12-15

    申请号：US11291607

    申请日：2005-11-30

    申请人： Do-Hyung Kim ,  Jae-Yeon Lee ,  Su-Young Chi ,  Ho-Sub Yoon ,  Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Young-Jo Cho

    发明人： Do-Hyung Kim ,  Jae-Yeon Lee ,  Su-Young Chi ,  Ho-Sub Yoon ,  Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Young-Jo Cho

    IPC分类号： G06K9/00 ,  G06K5/00 ,  G05B19/00 ,  G10L21/00

    CPC分类号： G06K9/00362

    摘要： A user recognizing system and method is provided. According to the user recognizing system and method, user ID and predetermined user feature information are stored, first and second user feature information are extracted from the user image data transmitted from the image input unit, and first and second probabilities that the extracted first and second user feature information determine the predetermined user are respectively generated based on the information stored at the user information database, the first user feature information being absolutely unique biometric information and the second user feature information being unique semibiometric information under a predetermined condition, and ID of the input image is finally determined by combining the first probability and the second probability. According to the user recognizing system and method, a user identity can be authenticated even when the user freely moves.

    摘要翻译： 提供了一种用户识别系统和方法。 根据用户识别系统和方法，存储用户ID和预定用户特征信息，从从图像输入单元发送的用户图像数据中提取第一和第二用户特征信息，以及提取的第一和第二概率的第一和第二概率 基于存储在用户信息数据库中的信息分别生成预定用户的用户特征信息，第一用户特征信息是绝对唯一的生物体信息，第二用户特征信息是预定条件下的唯一半身测量信息，以及ID 最终通过组合第一概率和第二概率来确定输入图像。 根据用户识别系统和方法，即使用户自由移动，也可以认证用户身份。

    Camera information coding/decoding method for synthesizing stereoscopic real video and a computer graphic image
    8.
    发明授权
    Camera information coding/decoding method for synthesizing stereoscopic real video and a computer graphic image 失效
    用于合成立体真实视频和计算机图形图像的相机信息编码/解码方法

    公开(公告)号：US06965699B2

    公开(公告)日：2005-11-15

    申请号：US10121583

    申请日：2002-04-15

    申请人： Se Yoon Jeong ,  Byung Tae Chun ,  Kyu Seo Han ,  Ho Sub Yoon ,  Young Lae Bae

    发明人： Se Yoon Jeong ,  Byung Tae Chun ,  Kyu Seo Han ,  Ho Sub Yoon ,  Young Lae Bae

    IPC分类号： H04N7/24 ,  H04N13/00 ,  H04N13/02 ,  G06K9/36

    CPC分类号： H04N19/597 ,  H04N13/111 ,  H04N13/296

    摘要： A camera information coding/decoding method for synthesizing stereoscopic real video and a computer graphic image is disclosed. The method stores the camera information generated when picturing, which is not contained in the existing multimedia contents coding standard, that is, the location motion information of the camera and the camera viewpoint displacement information, together with contents as the camera motion information stream. The camera information obtained through the camera position sensor and the camera viewpoint displacement sensor when picturing image is coded and stored together with the contents, thereby easily and precisely synthesizing with the computer graphic image. In addition, since the information may be easily transformed to the descriptor of the camera motion information of MPEG-7 format, there is another advantage of easily carrying out camera motion information indexing operation among searching methods of the multimedia contents.

    摘要翻译： 公开了一种用于合成立体真实视频和计算机图形图像的相机信息编码/解码方法。 该方法将在现有的多媒体内容编码标准中不包含的图像中生成的相机信息，即相机的位置运动信息和摄像机视点位移信息与内容一起存储为相机运动信息流。 通过相机位置传感器和摄像机视点位移传感器获取的摄像机信息与图像一起被编码并存储在一起，由此容易且准确地与计算机图形图像合成。 此外，由于信息可以容易地转换为MPEG-7格式的相机运动信息的描述符，所以存在在多媒体内容的搜索方法之间轻松执行相机运动信息索引操作的另一个优点。