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公开(公告)号：KR101901961B1
公开(公告)日：2018-09-28
申请号：KR1020110139610
申请日：2011-12-21
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: G06K9/00 , G06K2209/19 , G06T7/12 , G06T7/74 , G06T2207/30164
Abstract: 본발명에의한부품을인식하기위한장치및 그방법이개시된다. 본발명에따른부품을인식하기위한장치는입력받은부품영상으로부터다수의에지검출기법을이용하여각각부품에지를추출하고추출된상기부품에지를이용하여부품영역을검출하는영상전처리부; 검출된상기부품영역내에서부품특징을추출하고추출된상기부품특징을이용하여특징벡터를생성하는특징추출부; 및생성된상기특징벡터를다수의부품영상샘플을통해부품유형을인식하도록미리학습된인공신경망에입력하여그 결과로부품유형을인식하는부품인식부를포함한다. 이를통해, 본발명은부품의실장율을높일수 있고, 제품의생산성을향상시킬수 있다.
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公开(公告)号：KR101878359B1
公开(公告)日：2018-07-16
申请号：KR1020120145578
申请日：2012-12-13
Applicant: 한국전자통신연구원
CPC classification number: G09B7/06
Abstract: 본발명의실시예에따른다중지능검사장치는사용자로부터다중지능평가를위한영상을수신하는영상감지장치, 상기영상감지장치로부터상기영상정보를수신하여, 제 1 반응및 제 2 반응중 어느하나를선택하는방식의상기다중지능평가를수행하는다중지능측정모델부, 상기다중지능측정모델부로부터상기평가된다중지능결과를수신하고, 상기수신된결과에기반하여개인별포트폴리오를생성하는컨텐츠부를포함하되, 상기다중지능측정모델부는상기사용자의감정및 행동패턴에따른기준반응에기반하여상기제 1 및상기제 2 반응중 어느하나를선택한다.
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公开(公告)号：KR1020170022860A
公开(公告)日：2017-03-02
申请号：KR1020160068861
申请日：2016-06-02
Applicant: 한국전자통신연구원
Abstract: 실제사물의사용성을증강하는가상콘텐츠제공장치및 방법이개시된다. 본발명에따른가상콘텐츠제공장치는입력모듈을통해실제사물에상응하는실물정보를획득하는실물정보획득부; 실물정보를기반으로어느하나의가상콘텐츠를검색하는가상콘텐츠검색부; 출력모듈을통해어느하나의가상콘텐츠에상응하는가상인터페이스를실제사물에투사하는가상인터페이스투사부; 입력모듈을기반으로가상인터페이스상에서의사용자입력을감지하는사용자입력감지부; 및사용자입력이감지되는경우에어느하나의가상콘텐츠를기반으로사용자입력에대한가상정보를추출하고, 출력모듈을통해가상정보를실물정보에상응하게투사하여제공하는가상콘텐츠제공부를포함한다.
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公开(公告)号：KR1020150065370A
公开(公告)日：2015-06-15
申请号：KR1020130150614
申请日：2013-12-05
Applicant: 한국전자통신연구원
CPC classification number: G06K9/00335 , G06K9/00201 , G06K9/46 , G06K9/4609
Abstract: 본발명은임의의사람이카메라와같은촬영장치앞에서취하는일련의행동을인식하는장치및 그방법에관한것이다. 행동인식장치는촬영장치로부터깊이영상을지속적으로수신하는영상수신부, 영상수신부에서수신하는연속된깊이영상들을이용하여모션스토리맵을생성하는맵 생성부, 특정시점에생성된모션스토리맵에대해서행동인식에사용되는특징을추출하는특징추출부, 특징추출부에서추출한특징과, 이전에저장된각 등록행동들의서브비디오특징을서브비디오단위로매칭하는매칭부, 서브비디오단위로매칭한결과를이용하여유사도를산출하는유사도산출부및 유사도를산출부에서산출한유사도중에서가장큰 유사도를가지는행동을최종인식행동으로결정하는최종행동인식부를포함한다.
Abstract translation: 本发明涉及用于识别诸如相机之类的拍摄装置前面的随机人的某些动作的装置和方法。 用于识别动作的装置包括：图像接收单元，连续地从拍摄装置接收深度图像; 地图制作单元，通过使用从图像接收单元接收的连续深度图像来生成运动故事图; 特征提取单元提取用于关于在特定点产生的运动故事图的动作识别的特征; 匹配单元，其与先前存储的每个注册动作的子视频特征相匹配，具有通过子视频单元从特征提取单元提取的特征; 相似度输出单元，通过使用由子视频单元匹配的结果输出相似度; 以及最终动作识别单元，基于由相似度输出单元输出的相似度，确定具有最高相似度的动作作为最终识别动作。
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公开(公告)号：KR1020130064270A
公开(公告)日：2013-06-18
申请号：KR1020110130803
申请日：2011-12-08
Applicant: 한국전자통신연구원
Abstract: PURPOSE: An HRI(Human Robot Interaction)-integrated framework device and an HRI service providing method thereof are provided to supply a satisfied recognition result by continuously and permanently monitoring a volatile recognition result besides integrating individual recognition components. CONSTITUTION: A tracking unit(110) detects user information through sensors and tracks a user state based on the detected information. An ID recognizing unit(120) recognizes a user ID based on the detected information. A behavior recognizing unit(130) recognizes a user gesture based on the information. A multi integrating unit(140) integrates the user state, the user ID, and the user gesture and obtains HRI service information based on the integrated information. An interlinking unit(150) receives an HRI service from a service application and provides the HRI service to the user through the application. [Reference numerals] (110) Tracking unit; (120) ID recognizing unit; (130) Behavior recognizing unit; (140) Multi integrating unit; (145) Database; (150) Interlinking unit; (210) Camera; (220) Microphone
Abstract translation: 目的：提供HRI（人机交互） - 集成框架装置及其HRI服务提供方法，以便通过持续和永久地监视易失性识别结果以提供满意的识别结果，而不仅仅是集成了个体识别组件。 构成：跟踪单元（110）通过传感器检测用户信息，并基于检测到的信息跟踪用户状态。 ID识别单元（120）基于检测到的信息识别用户ID。 行为识别单元（130）基于该信息识别用户手势。 多积分单元（140）集成了用户状态，用户ID和用户手势，并且基于综合信息获得HRI服务信息。 互连单元（150）从服务应用接收HRI服务，并通过应用向用户提供HRI服务。 （附图标记）（110）跟踪单元; （120）识别识别单元; （130）行为识别单元; （140）多重整合单元; （145）数据库; （150）互连单元; （210）相机; （220）麦克风
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Patent Agency Ranking
公开(公告)号：KR1020130051680A
公开(公告)日：2013-05-21
申请号：KR1020110116969
申请日：2011-11-10
Applicant: 한국전자통신연구원
IPC: G06K9/46
CPC classification number: G06K9/00664 , G06K9/00248 , G06K9/00288 , G06K9/036
Abstract: PURPOSE: A user face recognition device in a robot and a method thereof are provided to recognize the frequent change of an illumination environment when a robot and a user move at the same time, thereby recognizing the face from a long distance. CONSTITUTION: A face detection unit(130) detects a square area, which a face is located, from an image photographed by a camera. A preprocessing unit(150) performs geometric normalization in a detected face image. The preprocessing unit improves the image quality for removing the interference of the background and illumination. A feature extraction unit(160) extracts a feature vector necessary for face recognition in the face image. A matching and classifying unit(170) assigns ID of the matched face by matching the feature vectors of the face and the extracted feature vectors. [Reference numerals] (110) Camera unit; (120) Image input unit; (130) Face detection unit; (140) Adaboosting database; (150) Preprocessing unit; (160) Feature extraction unit; (170) Matching and classifying unit
Abstract translation: 目的：提供机器人中的用户面部识别装置及其方法，以识别当机器人和用户同时移动时照明环境的频繁变化，从而从长距离识别脸部。 构成：面部检测单元（130）从由照相机拍摄的图像检测脸部所在的正方形区域。 预处理单元（150）在检测到的脸部图像中执行几何归一化。 预处理单元提高了图像质量，以消除背景和照明的干扰。 特征提取单元（160）提取面部图像中的面部识别所需的特征向量。 匹配和分类单元（170）通过匹配面部的特征向量和提取的特征向量来分配匹配面部的ID。 （附图标记）（110）相机单元; （120）图像输入单元; （130）面部检测单元; （140）收购数据库; （150）预处理单元; （160）特征提取单元; （170）匹配和分类单位
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公开(公告)号：KR1020120070340A
公开(公告)日：2012-06-29
申请号：KR1020100131859
申请日：2010-12-21
Applicant: 한국전자통신연구원
IPC: G06K9/46
CPC classification number: G06T7/254 , G06T7/194 , G06T2207/20224
Abstract: PURPOSE: An object tracking apparatus and method thereof are provided to reduce object tracking failure rates in the change of a background area by accurately confirming the boundary of an object. CONSTITUTION: An object analysis unit(301) analyzes the inputted image of an object area as object feature information. A background analysis unit(302) analyzes a back ground area for the object area background feature information. The object analysis unit tracks the object area by using the analyzed background feature information and the analyzed object feature information. The background analysis unit includes a background modeling unit. The background modeling unit models the background area as the background feature information.
Abstract translation: 目的：提供一种物体跟踪装置及其方法，通过准确地确认对象的边界来减少背景区域的改变中的物体跟踪失败率。 构成：对象分析单元（301）将对象区域的输入图像分析为对象特征信息。 背景分析单元（302）分析对象区背景特征信息的背景区域。 对象分析单元通过使用分析的背景特征信息和分析对象特征信息来跟踪对象区域。 背景分析单元包括背景建模单元。 背景建模单元将背景区域作为背景特征信息进行建模。
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公开(公告)号：KR1020110111662A
公开(公告)日：2011-10-12
申请号：KR1020100030844
申请日：2010-04-05
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: G06T7/254
Abstract: 영상으로부터 배경 영상을 모델링할 수 있는 배경 모델링 방법이 제공된다. 배경 모델링 방법은, 획득된 영상에서 객체의 모션 발생 영역 및 객체의 전신 영역을 검출하여 객체 영역을 출력하는 단계, 영상으로부터 객체 영역을 제외한 배경 영상을 생성하여 출력하는 단계 및 영상과 배경 영상의 차이에 기초하여 객체 실루엣을 검출하여 출력하는 단계를 포함한다.
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公开(公告)号：KR1020100124949A
公开(公告)日：2010-11-30
申请号：KR1020090043914
申请日：2009-05-20
Applicant: 한국전자통신연구원
IPC: H04N5/262
CPC classification number: G06K9/00255 , G06K9/00261 , G06T7/277 , G06T2207/30201
Abstract: PURPOSE: A device and a method for tracking a face at a long distance are provided to accurately detect and track a far-distanced very small face at a low resolution in order to prevent the wrong detection which tracks a non-facial portion. CONSTITUTION: An image input unit(110) generates continuous image frames by inputting a video image, and a face tracking initializing unit(130) detects an omega region and a facial region of a human from the image frames. The face tracking initializing unit sets the estimated facial region as tracking start region information. A remote face tracker(150) detects a facial region at a short distance within the facial detection region.
Abstract translation: 目的：提供用于跟踪远距离脸部的装置和方法，以便以低分辨率准确地检测和跟踪远距离的非常小的脸部，以防止跟踪非面部部分的错误检测。 构成：图像输入单元（110）通过输入视频图像来生成连续的图像帧，并且面部追踪初始化单元（130）从图像帧中检测人的Ω区域和面部区域。 面部跟踪初始化单元将估计的面部区域设置为跟踪开始区域信息。 远程脸部跟踪器（150）在脸部检测区域内检测距离较短距离的面部区域。
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公开(公告)号：KR1020100102949A
公开(公告)日：2010-09-27
申请号：KR1020090021279
申请日：2009-03-12
Applicant: 한국전자통신연구원
IPC: G06T7/40
CPC classification number: G06K9/00275 , G06K9/6234 , G06K9/6247 , G06T7/11 , G06T2207/20021
Abstract: PURPOSE: A method and an apparatus for recognizing a face by a block unit are provided to determine similarity by comparing face images by a block unit, thereby producing various combinations of images to increase variety of face images. CONSTITUTION: A query face image is divided into fixed blocks and a feature value is extracted from each block. A feature value extracting unit(200) extracts a feature value from an inputted face image by a fixed block unit. A block similarity calculating unit(410) calculates block similarity between the query face image and a registration face image. The block similarity calculating unit compares a feature value of a fixed block of the query face image with a feature value of a block of the registration image corresponding to a fixed block of the query face image.
Abstract translation: 目的：提供一种用于通过块单元识别面部的方法和装置，以通过以块为单位比较面部图像来确定相似度，从而产生图像的各种组合以增加脸部图像的多样性。 构成：将查询面部图像分为固定块，并从每个块中提取特征值。 特征值提取单元（200）通过固定块单元从输入的面部图像提取特征值。 块相似度计算单元（410）计算查询面部图像与登记面部图像之间的块相似度。 块相似度计算单元将查询面部图像的固定块的特征值与对应于查询面部图像的固定块的登记图像的块的特征值进行比较。
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