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公开(公告)号：KR1020130082223A
公开(公告)日：2013-07-19
申请号：KR1020120003295
申请日：2012-01-11
Applicant: 한국전자통신연구원
CPC classification number: G06K9/00865 , G06K9/3258 , G06K9/348 , G06K2209/01
Abstract: PURPOSE: A method and an apparatus for ordering of off-line characters from a natural scene are provided to suggest angular normalization, structural feature position determination, and structural feature numeral string generation methods, thereby highly recognizing off-line characters of various fonts regardless of angles or sizes of the characters. CONSTITUTION: A pre-processor (100) extracts off-line characters from an image, performs binarization of the off-line characters through a predetermined threshold, and performs thinning of the binarized off-line characters to have a fixed thickness. A normalizer (200) normalizes the pre-processed characters into characters corresponding to a predetermined standard. A code allocator (300) allocates chain codes that indicate a progressive direction of each stroke and intersection points that indicate strokes are crossed each other to points constituting the normalized characters. An ordering unit (400) transforms the characters with allocated codes or points into numeralized data using structural features containing end points or intersection points of the characters. [Reference numerals] (100) Pre-processor; (210) End point detecting unit; (220) Text information rotating unit; (300) Code allocator; (410) Structural feature code generating unit; (420) Ordering unit; (500) Modeling unit; (600) Database; (AA) Text information
Abstract translation: 目的：提供一种从自然场景排序离线字符的方法和装置，以提出角度归一化，结构特征位置确定和结构特征数字串生成方法，从而高度识别各种字体的离线字符，而不管 角度或大小的字符。 规定：预处理器（100）从图像中提取离线字符，通过预定阈值执行离线字符的二值化，并且执行二值化离线字符的稀疏化以具有固定的厚度。 归一化器（200）将预处理的字符归一化为与预定标准对应的字符。 代码分配器（300）分配指示每个笔画的逐行方向的链代码，指示笔划的交点与构成归一化字符的点交叉。 排序单元（400）使用包含字符的端点或交点的结构特征将具有分配的代码或点的字符变换成数字化数据。 （附图标记）（100）预处理器; （210）端点检测单元; （220）文字信息旋转单元; （300）代码分配器; （410）结构特征码生成单元; （420）订购单位; （500）建模单位; （600）数据库; （AA）文本信息
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公开(公告)号：KR1020120096808A
公开(公告)日：2012-08-31
申请号：KR1020110016135
申请日：2011-02-23
Applicant: 한국전자통신연구원
IPC: G08B25/00
CPC classification number: H04N7/18 , G08B13/19623
Abstract: PURPOSE: A security control device, an orbit security device a control robot, a security control service system and method are provided to freely transfer a control robot device to a wide region regardless of road conditions of a driving path. CONSTITUTION: A control command input unit(120) is input a control command in regard to a security target place. A security data transmitting and receiving unit(130) transmits and receives the control command or security data for security control through the communication with an orbit protective device. The orbit protective device obtains the neighboring security data while traveling along an orbit installed at the security target place. A security data storing unit(140) stores the security data. A security data analysis module(150) analyzes the security data and determines abnormal situations of the security target place. The security data analysis module creates a control instruction for combination or separation of a control robot device and the orbit security device according to a determining result of the abnormal situations and transmits it through the security data transmitting and receiving unit. A security data output unit(160) outputs data for the abnormal situations of the security target place.
Abstract translation: 目的：提供一种安全控制装置，轨道安全装置，控制机器人，安全控制服务系统和方法，以便无论行驶路径的路况如何，将控制机器人装置自由地传送到广域。 构成：控制命令输入单元（120）输入关于安全目标地点的控制命令。 安全数据发送和接收单元（130）通过与轨道保护装置的通信来发送和接收用于安全控制的控制命令或安全数据。 轨道保护装置在安装在安全目标地点的轨道上行进时获得邻近的安全数据。 安全数据存储单元（140）存储安全数据。 安全数据分析模块（150）分析安全数据并确定安全目标地点的异常情况。 安全数据分析模块根据异常情况的确定结果创建控制机器人装置与轨道安全装置的组合或分离的控制指令，并通过安全数据发送和接收单元进行发送。 安全数据输出单元（160）输出安全目标地点的异常情况的数据。
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公开(公告)号：KR1020120066397A
公开(公告)日：2012-06-22
申请号：KR1020100127723
申请日：2010-12-14
Applicant: 한국전자통신연구원
CPC classification number: G06K9/325 , G06K2209/15 , G06T7/00 , G06F17/30286
Abstract: PURPOSE: A method for extracting text area and an extraction apparatus are provided to accurately extract character area from an image with low resolution and noise. CONSTITUTION: A method for extracting text area comprises: a step of generating text area prediction value within a second image based on database with geometric information to the text area of a first image(110); a step of determining text recognition to a text enable area within the second image(120); and a step of selecting a text area within the second image(130).
Abstract translation: 目的：提供一种提取文本区域的方法和提取设备，以从低分辨率和噪声的图像中准确提取字符区域。 一种用于提取文本区域的方法包括：基于具有几何信息的数据库在第二图像内生成文本区域预测值到第一图像（110）的文本区域的步骤; 确定第二图像（120）内的文本使能区域的文本识别的步骤; 以及选择所述第二图像（130）内的文本区域的步骤。
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公开(公告)号：KR1020120023485A
公开(公告)日：2012-03-13
申请号：KR1020100122186
申请日：2010-12-02
Applicant: 한국전자통신연구원
CPC classification number: G06K9/6256 , G06K9/3258
Abstract: PURPOSE: A vehicle identifier recognition system and method thereof are provided to effectively extract the number of a vehicle by determining an identifier type. CONSTITUTION: An ROI(Region Of Interest) extraction unit(110) extracts ROI from an input image based on training images. An identifier region selecting unit(120) selects an identifier area including the identifier of a vehicle according to the ROI. An identifier recognition unit(130) recognizes the identifier of the vehicle by analyzing the identifier area according to the type of the identification area. A training image analysis unit(180) creates a pre-learning result based on a common data by analyzing training images.
Abstract translation: 目的：提供一种车辆识别识别系统及其方法，通过确定一种标识符类型来有效地提取车辆的数量。 构成：ROI（感兴趣区域）提取单元（110）基于训练图像从输入图像提取ROI。 标识符区域选择单元（120）根据ROI选择包括车辆的标识符的标识符区域。 标识符识别单元（130）根据识别区域的类型，通过分析标识符区域来识别车辆的标识符。 训练图像分析单元（180）通过分析训练图像来创建基于公共数据的预学习结果。
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Patent Agency Ranking
公开(公告)号：KR101905426B1
公开(公告)日：2018-10-10
申请号：KR1020120003295
申请日：2012-01-11
Applicant: 한국전자통신연구원
CPC classification number: G06K9/00865 , G06K9/3258 , G06K9/348 , G06K2209/01
Abstract: 본발명은문자인식의정확도를높이기위하여문자정보를순서화하는방법에관한것으로, 영상으로부터문자정보를추출하여추출된문자정보를미리결정된임계값을통하여이진화(binarization)하고, 이진화된문자정보의중심선을추출하여세선화(thinning)하는전처리하고, 전처리된문자정보를미리설정된기준에따른문자정보로정규화(nomailzation)한다음정규화된문자정보를끝점또는분기점을포함하는구조적특징을이용하여순서화하는단계를포함한다. 본발명에따르면입력문자정보의각도정규화방법, 구조적특징위치결정방법, 구조적특징숫자열생성방법등을제안함으로써, 자연영상으로부터얻은다양한폰트의문자를각도및 크기와무관하게강인하게인식할수 있다.
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公开(公告)号：KR1020170084639A
公开(公告)日：2017-07-20
申请号：KR1020160003911
申请日：2016-01-12
Applicant: 한국전자통신연구원
Abstract: 다중센서기반층간소음알림장치및 방법이개시된다. 본발명에일실시예에따른다중센서기반층간소음알림장치는소음발생대상의발목및 발바닥에설치된복수개의센서들로부터감지된신호에기반하여소음발생행위정보를생성하는센서부;경보를발생하는경보부및 상기소음발생행위정보에기반하여상기경보부를제어하는제어부를포함한다.
Abstract translation: 公开了一种基于多传感器的层间噪声通知装置和方法。 一个实施例中是按照从多个脚踝和通告击打噪声受试者，以产生本发明中的噪音行为信息传感器部的脚传感器的检测到的信号的基础上，基于传感器的层间噪声的示例;报警单元，用于产生一个报警 以及用于基于噪音生成活动信息来控制警报单元的控制器。
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公开(公告)号：KR1020170082074A
公开(公告)日：2017-07-13
申请号：KR1020160001244
申请日：2016-01-05
Applicant: 한국전자통신연구원
CPC classification number: G06K9/00275 , G06K9/00248 , G06K9/00281 , G06K9/00288 , G06K9/6215
Abstract: 얼굴인식의정확도를높인관상학적특징정보를이용한얼굴인식기술이개시된다. 이를위해, 본발명의일 실시예에따른관상학적특징정보를이용한얼굴인식방법은얼굴구성요소별로관상학적표준타입들을정의하는단계; 사용자의얼굴영상을촬영하는단계; 상기얼굴영상에서얼굴구성요소정보를검출하는단계; 및상기얼굴구성요소정보에기초하여, 상기사용자의얼굴구성요소별로관상학적표준타입들과의유사도스코어를산정하는단계를포함하는것을특징으로한다.
Abstract translation: 公开了一种使用增加人脸识别准确性的冠状特征信息的人脸识别技术。 为此，根据本发明实施例的使用冠状特征信息来识别面部的方法包括：为每个面部部件定义冠状标准类型; 捕捉用户的脸部图像; 从脸部图像检测脸部分量信息; 并且基于脸部分量信息计算针对用户的每个脸部分量的相对于冠状标准类型的相似性分数。
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公开(公告)号：KR1020140100353A
公开(公告)日：2014-08-14
申请号：KR1020130013562
申请日：2013-02-06
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: H04N7/18 , G06K9/00335 , G06K9/00369 , G06K9/00664
Abstract: The present invention relates to a method and a device for recognizing human information. The disclosed method for recognizing human information comprises a step of generating sensor data-based human information comprising the identification, the location, and the behavior information of a human body existing in a recognition space by analyzing sensor data from multiple sensor resources arranged in the recognition space; a step of generating fused human information by fusing human information from a robot and human information from the sensor data, obtained and provided through interaction between a mobile robot terminal located in the recognition space and a human located in the recognition space, according to the location of the mobile robot and the state of the interaction; and a step of storing a human module according to the fused human information with respect to the human existing in the recognition space, in a database. Accordingly, the present invention is advantageous in improving the reliability of recognition information on the identification, the location, and the behavior information of a user when a plurality of users exist, by fusing multiple sensor resources installed in the recognition space and resources from a robot.
Abstract translation: 本发明涉及用于识别人类信息的方法和装置。 所公开的用于识别人类信息的方法包括通过分析来自布置在识别中的多个传感器资源的传感器数据，生成基于传感器数据的人类信息的步骤，该信息包括存在于识别空间中的人体的识别，位置和行为信息 空间; 根据所述位置，通过将位于所述识别空间中的移动机器人终端与位于所述识别空间中的人的位置之间的交互获得并提供的所述传感器数据，通过从所述机器人融合人类信息和人类信息来生成融合的人类信息的步骤; 的移动机器人和相互作用的状态; 以及在数据库中存储相对于存在于识别空间中的人的融合人类信息的人类模块的步骤。 因此，本发明在存在多个用户时通过融合安装在识别空间中的多个传感器资源和来自机器人的资源来提高对用户的识别，位置和行为信息的识别信息的可靠性是有利的 。
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公开(公告)号：KR1020110051029A
公开(公告)日：2011-05-17
申请号：KR1020090107673
申请日：2009-11-09
Applicant: 한국전자통신연구원
CPC classification number: G06K9/00906 , G06K9/00281 , G06K9/44
Abstract: PURPOSE: A disguised face discriminating apparatus and method thereof which uses a linear discriminating technique are provided to permit to use a system only for a user whose face is opened by a determining normal face and a disguised face. CONSTITUTION: A first disguise processor(110) receives a face image including left side/right side face images. A second disguise processor(130) receives the face image including left side/right side face images and to performs second disguise process according to a linear technique. A final linear determining unit(140) receives the result value of the first and the second disguise processor. The final linear return value is outputted according to the linear technique. A comparator(150) compares a face image with a final linear return value.
Abstract translation: 目的：提供使用线性鉴别技术的伪装的面部识别装置及其方法，以允许仅通过确定正常脸部和伪装脸部的脸部打开的用户使用系统。 构成：第一伪装处理器（110）接收包括左侧/右侧脸部图像的面部图像。 第二伪装处理器（130）接收包括左侧/右侧脸部图像的面部图像，并根据线性技术执行第二伪装处理。 最终线性确定单元（140）接收第一和第二伪装处理器的结果值。 根据线性技术输出最终线性返回值。 比较器（150）将脸部图像与最终线性返回值进行比较。
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