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1. 发明申请

US20120155719A1 APPARATUS AND METHOD FOR DETECTING UPPER BODY 有权
标题翻译：用于检测上身的装置和方法
公开(公告)号：US20120155719A1
公开(公告)日：2012-06-21
申请号：US13332879
申请日：2011-12-21
申请人： Woo Han YUN , Do Hyung KIM , Jae Yeon LEE , Kyu Dae BAN , Dae Ha LEE , Mun Sung HAN , Ho Sub YOON , Su Young CHI , Yun Koo CHUNG , Joo Chan SOHN , Hye Jin KIM , Young Woo YOON , Jae Hong KIM , Jae Il CHO
发明人： Woo Han YUN , Do Hyung KIM , Jae Yeon LEE , Kyu Dae BAN , Dae Ha LEE , Mun Sung HAN , Ho Sub YOON , Su Young CHI , Yun Koo CHUNG , Joo Chan SOHN , Hye Jin KIM , Young Woo YOON , Jae Hong KIM , Jae Il CHO
IPC分类号： G06K9/46
CPC分类号： G06K9/00362
摘要： Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.
摘要翻译：公开了一种检测上身的方法。该方法包括从目标图像中检测包括人脸的形状和肩部线的形状的欧米茄候选区域，将目标图像切割成包括欧米茄候选区域的上身候选区域，从上层检测人脸根据检测人脸的结果来判断人的上半身是否包含在目标图像中。

2. 发明申请

US20120057756A1 APPARATUS AND METHOD FOR RECOGNIZING IDENTIFIER OF VEHICLE 有权
标题翻译：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。

3. 发明申请

US20130148857A1 APPARATUS FOR EXTRACTING CHARACTER AREA IN VEHICLE NUMBER PLATE AND METHOD THEREOF 审中-公开
标题翻译：用于在车牌号码板中提取字符区域的装置及其方法
公开(公告)号：US20130148857A1
公开(公告)日：2013-06-13
申请号：US13534379
申请日：2012-06-27
申请人： Young Woo YOON , Ho Sub YOON , Kyu Dae BAN , Jae Hong KIM , Joo Chan SOHN
发明人： Young Woo YOON , Ho Sub YOON , Kyu Dae BAN , Jae Hong KIM , Joo Chan SOHN
IPC分类号： G06K9/18
CPC分类号： G06K9/3258
摘要： Disclosed are an apparatus for extracting a character area in a vehicle number plate and a method thereof. An apparatus for extracting a character area in a vehicle number plate according to an exemplary embodiment of the present invention includes a candidate area extracting unit configured to extract a plurality of character candidate areas from a vehicle number plate image using a plurality of algorithms; a filtering unit configured to determine a final character candidate area from the plurality of extracted character candidate areas; and a character area selecting unit configured to select a final character area from the final character candidate area using geometric information of blobs.
摘要翻译：公开了一种用于提取车牌中的字符区域的装置及其方法。根据本发明的示例性实施例的用于提取车牌中的字符区域的装置包括：候选区域提取单元，被配置为使用多种算法从车辆号码牌图像中提取多个字符候选区域; 滤波单元，被配置为从所述多个提取的字符候选区域中确定最终字符候选区域; 以及字符区域选择单元，被配置为使用斑点的几何信息从最终字符候选区域中选择最终字符区域。

4. 发明申请

US20130177247A1 METHOD AND APPARATUS FOR SEQUENCING OFF-LINE CHARACTER FROM NATURAL SCENE 有权
标题翻译：用于从自然场景中排序离线字符的方法和装置
公开(公告)号：US20130177247A1
公开(公告)日：2013-07-11
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： G06K9/78
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。本发明提出了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。

5. 发明申请

US20130163829A1 SYSTEM FOR RECOGNIZING DISGUISED FACE USING GABOR FEATURE AND SVM CLASSIFIER AND METHOD THEREOF 有权
标题翻译：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。

6. 发明申请

US20080037875A1 METHOD AND APPARATUS FOR SHOULDER-LINE DETECTION AND GESTURE SPOTTING DETECTION 有权
标题翻译：方法和装置用于肩部线检测和姿势检测
公开(公告)号：US20080037875A1
公开(公告)日：2008-02-14
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，头部或更高部分中发生的GSD呼叫手势，尽管用户不具有固定姿势。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。

7. 发明申请

US20080065380A1 ON-LINE SPEAKER RECOGNITION METHOD AND APPARATUS THEREOF 审中-公开
标题翻译：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。

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