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    METHOD AND APPARATUS FOR RECOGNIZING GESTURE IN IMAGE PROCESSING SYSTEM
    2.
    发明申请
    METHOD AND APPARATUS FOR RECOGNIZING GESTURE IN IMAGE PROCESSING SYSTEM 有权
    用于识别图像处理系统中的姿态的方法和装置

    公开(公告)号：US20080019589A1

    公开(公告)日：2008-01-24

    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 ,  G06K9/46

    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。

    APPARATUS AND METHOD FOR RECOGNIZING IDENTIFIER OF VEHICLE
    3.
    发明申请
    APPARATUS AND METHOD FOR RECOGNIZING IDENTIFIER OF VEHICLE 有权
    用于识别车辆识别器的装置和方法

    公开(公告)号：US20120057756A1

    公开(公告)日：2012-03-08

    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。

    METHOD FOR MEASURING ENVIRONMENTAL PARAMETERS FOR MULTI-MODAL FUSION
    4.
    发明申请
    METHOD FOR MEASURING ENVIRONMENTAL PARAMETERS FOR MULTI-MODAL FUSION 审中-公开
    用于测量多模式融合的环境参数的方法

    公开(公告)号：US20110282665A1

    公开(公告)日：2011-11-17

    申请号：US13017582

    申请日：2011-01-31

    申请人： Hye Jin KIM ,  Do Hyung KIM ,  Su Young CHI ,  Jae Yeon LEE

    发明人： Hye Jin KIM ,  Do Hyung KIM ,  Su Young CHI ,  Jae Yeon LEE

    IPC分类号： G10L17/00 ,  G06K9/00 ,  G06K9/68

    CPC分类号： G06K9/00288 ,  G06K9/6293 ,  G10L17/10

    摘要： Provided is a method for measuring environmental parameters for multi-modal fusion. The method for measuring environmental parameters for multi-modal fusion, includes: preparing at least one enrolled modality; receiving at least one input modality; calculating image related environmental parameters of input images in at least one input modality based on illumination of enrolled image in at least one enrolled modality; and comparing the image related environmental parameters with a predetermined reference value and discarding the input image or outputting it as a recognition data according to the comparison result.

    摘要翻译： 提供了一种用于测量多模态融合的环境参数的方法。 多模态融合的环境参数测量方法包括：准备至少一种注册模式; 接收至少一个输入模态; 基于至少一个登记模式的基于注册图像的照明，在至少一个输入模式中计算输入图像的图像相关环境参数; 并且将图像相关环境参数与预定参考值进行比较，并根据比较结果丢弃输入图像或将其作为识别数据输出。

    ON-LINE SPEAKER RECOGNITION METHOD AND APPARATUS THEREOF
    5.
    发明申请
    ON-LINE SPEAKER RECOGNITION METHOD AND APPARATUS THEREOF 审中-公开
    在线扬声器识别方法及其设备

    公开(公告)号：US20080065380A1

    公开(公告)日：2008-03-13

    申请号：US11684691

    申请日：2007-03-12

    申请人： Keun Chang KWAK ,  Kyung Sook BAE ,  Ho Sub YOON ,  Hye Jin KIM ,  Su Young CHI

    发明人： Keun Chang KWAK ,  Kyung Sook BAE ,  Ho Sub YOON ,  Hye Jin KIM ,  Su Young CHI

    IPC分类号： G10L15/00

    CPC分类号： G10L17/04

    摘要： A speaker recognition method and apparatus are provided. In the speaker recognition method, basic data and voice data of a speaker are received using contents that constantly request the speaker to constantly response using the speaker's voice. Then, a voice of the speaker is extracted from voice data, and a feature vector for recognition is extracted from the voice of the speaker. Based on the extracted feature vector, a speaker model is created. Then, a speaker stored in a speaker model is recognized based on information analyzed from input voice.

    摘要翻译： 提供说话人识别方法和装置。 在扬声器识别方法中，使用不断要求扬声器的内容使用扬声器的声音来不断响应地接收扬声器的基本数据和语音数据。 然后，从语音数据中提取说话者的声音，并且从扬声器的声音中提取用于识别的特征矢量。 基于提取的特征向量，创建说话者模型。 然后，基于从输入语音分析的信息来识别存储在扬声器模型中的扬声器。

    COMPONENT RECOGNIZING APPARATUS AND COMPONENT RECOGNIZING METHOD
    6.
    发明申请
    COMPONENT RECOGNIZING APPARATUS AND COMPONENT RECOGNIZING METHOD 有权
    组件识别装置和组件识别方法

    公开(公告)号：US20130163858A1

    公开(公告)日：2013-06-27

    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： G06K9/62

    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。