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    COMPONENT RECOGNIZING APPARATUS AND COMPONENT RECOGNIZING METHOD
    1.
    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。

    APPARATUS AND METHOD FOR RECOGNIZING IDENTIFIER OF VEHICLE
    4.
    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。

    SYSTEM FOR RECOGNIZING DISGUISED FACE USING GABOR FEATURE AND SVM CLASSIFIER AND METHOD THEREOF
    5.
    发明申请
    SYSTEM FOR RECOGNIZING DISGUISED FACE USING GABOR FEATURE AND SVM CLASSIFIER AND METHOD THEREOF 有权
    用于识别使用GABOR特征和SVM分类器的分辨率面的系统及其方法

    公开(公告)号：US20130163829A1

    公开(公告)日：2013-06-27

    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： G06K9/62

    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。

    SYSTEM AND METHOD FOR INTEGRATING GESTURE AND SOUND FOR CONTROLLING DEVICE
    6.
    发明申请
    SYSTEM AND METHOD FOR INTEGRATING GESTURE AND SOUND FOR CONTROLLING DEVICE 有权
    用于集成手势和声音的系统和方法用于控制装置

    公开(公告)号：US20120166200A1

    公开(公告)日：2012-06-28

    申请号：US13333773

    申请日：2011-12-21

    申请人： Mun Sung HAN ,  Young Giu JUNG ,  Hyun KIM ,  Jae Hong KIM ,  Joo Chan SOHN

    发明人： Mun Sung HAN ,  Young Giu JUNG ,  Hyun KIM ,  Jae Hong KIM ,  Joo Chan SOHN

    IPC分类号： G10L21/00

    CPC分类号： G08C23/00 ,  G06F3/017 ,  G06F3/038 ,  G06F2203/0381 ,  G10L15/22

    摘要： Disclosed is a system for integrating gestures and sounds including: a gesture recognition unit that extracts gesture feature information corresponding to user commands from image information and acquires gesture recognition information from the gesture feature information; a background recognition unit acquiring background sound information using the predetermined background sound model from the sound information; a sound recognition unit that extracts the sound feature information corresponding to user commands from the sound information and extracts the sound feature information based on the background sound information and acquires the sound recognition information from the sound feature information; and an integration unit that generates integration information by integrating the gesture recognition information and the sound recognition information.

    摘要翻译： 公开了一种用于整合手势和声音的系统，包括：手势识别单元，从图像信息中提取与用户命令相对应的手势特征信息，并从手势特征信息获取手势识别信息; 背景识别单元，使用来自声音信息的预定背景声音模型获取背景声音信息; 声音识别单元，从声音信息提取与用户命令相对应的声音特征信息，并且基于背景声音信息提取声音特征信息，并从声音特征信息获取声音识别信息; 以及整合单元，其通过对手势识别信息和声音识别信息进行积分来生成积分信息。

    TYPEWRITER SYSTEM AND TEXT INPUT METHOD USING MEDIATED INTERFACE DEVICE
    9.
    发明申请
    TYPEWRITER SYSTEM AND TEXT INPUT METHOD USING MEDIATED INTERFACE DEVICE 有权
    使用介质接口设备的TYPEWRITER系统和文本输入方法

    公开(公告)号：US20110144975A1

    公开(公告)日：2011-06-16

    申请号：US12965249

    申请日：2010-12-10

    申请人： Dae Ha LEE ,  Jae Hong KIM ,  Min Su JANG ,  Chan Kyu PARK ,  Hyeon Sung CHO ,  Sang Seung KANG ,  Cheon Shu PARK ,  Joo Chan SOHN ,  Jae Yeon LEE ,  Yun Koo CHUNG

    发明人： Dae Ha LEE ,  Jae Hong KIM ,  Min Su JANG ,  Chan Kyu PARK ,  Hyeon Sung CHO ,  Sang Seung KANG ,  Cheon Shu PARK ,  Joo Chan SOHN ,  Jae Yeon LEE ,  Yun Koo CHUNG

    IPC分类号： G06F17/27

    CPC分类号： G06F17/273

    摘要： Disclosed is a typewriter system and a text input method capable of accurately recognizing words by correcting words input using a mediated interface device based on a dictionary. A plurality of texts are combined by referencing a text recognition order set in which recognition results of texts are arranged according to a recognition order from texts input through the mediated interface device and the combined text is filtered using part index maps formed of part words that are an accumulated set of texts forming complete words. The part words passing through the part index maps is again filtered using a dictionary including context information formed of a set of words in a specific category, thereby making it possible to accurately recognize the words. The part words that cannot form words in a dictionary are removed in advance using the part index maps, thereby improving the recognition efficiency.

    摘要翻译： 公开了一种打字机系统和文本输入方法，其能够通过使用基于字典的中介接口设备来校正输入的单词来准确地识别单词。 通过参考文本识别顺序集来组合多个文本，其中文本的识别结果根据通过介导的界面设备输入的文本的识别顺序排列，并且使用由部分词形成的部分索引图来过滤组合的文本 形成完整词汇的一组文本。 通过部分索引图的部分字再次使用包括由特定类别中的一组单词形成的上下文信息的字典进行过滤，从而使得可以准确地识别单词。 使用部分索引图，预先除去字典中不能形成单词的部分词，从而提高识别效率。

    METHOD AND APPARATUS FOR OPERATION OF MOVING OBJECT IN UNSTRUCTURED ENVIRONMENT
    10.
    发明申请
    METHOD AND APPARATUS FOR OPERATION OF MOVING OBJECT IN UNSTRUCTURED ENVIRONMENT 审中-公开
    运动对象在非结构化环境中的运行方法和装置

    公开(公告)号：US20120162411A1

    公开(公告)日：2012-06-28

    申请号：US13335829

    申请日：2011-12-22

    申请人： Min Su JANG ,  Young-Jo CHO ,  Hyeonsung CHO ,  Cheonshu PARK ,  Jae Hong KIM ,  Joo Chan SOHN

    发明人： Min Su JANG ,  Young-Jo CHO ,  Hyeonsung CHO ,  Cheonshu PARK ,  Jae Hong KIM ,  Joo Chan SOHN

    IPC分类号： H04N7/18

    CPC分类号： H04N7/188

    摘要： An apparatus for operation of a moving object in an unstructured environment includes a sensor unit configured to sense vibration of the moving object to produce a sensing signal; an image capturing unit configured to capture an image of a surrounding environment on which the moving object travels; a signal synchronization unit configured to synchronize the sensing signal from the sensor unit with the image captured by an image capturing unit through mapping therebetween; an amplitude extraction unit configured to extract a tilt of the moving object based on the sensing signal from the sensor unit and calculate a viewing angle and a moving distance of the moving object based on the calculated tilt; and an image correction unit configured to perform coordinate transformation on the captured image by using the viewing angle and the moving distance to generate a corrected image.

    摘要翻译： 用于在非结构化环境中操作移动物体的装置包括：传感器单元，被配置为感测移动物体的振动以产生感测信号; 被配置为捕获移动对象行进的周围环境的图像的图像拍摄单元; 信号同步单元，被配置为使来自传感器单元的感测信号与由图像捕获单元捕获的图像之间的映射同步; 振幅提取单元，被配置为基于来自所述传感器单元的感测信号来提取所述移动物体的倾斜，并基于所计算的倾斜度来计算所述移动物体的视角和移动距离; 以及图像校正单元，被配置为通过使用所述视角和所述移动距离对所述捕获图像执行坐标变换，以生成校正图像。