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公开(公告)号：KR101438079B1
公开(公告)日：2014-09-12
申请号：KR1020120128921
申请日：2012-11-14
Applicant: 한국과학기술연구원
IPC: G06T7/20
Abstract: 본 발명은 영상 기반의 적응적인 특징점 선택 및 선별적 예상 경로 추정에 기반한 비정형 물체 추적 방법으로서, (a) 물체를 감지하는 단계; (b) 상기 감지된 물체에 기초하여 물체 영역과 주변 영역을 구분하여 설정하는 단계; (c) 상기 설정된 물체 영역과 주변 영역 각각으로부터 특징점을 추출하는 단계; (d) 상기 추출된 물체 특징점과 주변 영역 특징점에 기초하여 물체 특징점의 분별력을 판단하는 단계; (e) 상기 추출 및 갱신된 물체의 특징점에 기초하여 상기 주변 영역의 변화맵을 생성 및 갱신하는 단계; (f) 상기 주변 영역의 특징점 변화 정도에 기초하여 물체가 이동 가능한 영역을 한정 추출하는 단계; 및 (g) 상기 분별력의 판단 결과 분별력이 있는 물체 특징점을 적응적으로 선택하여 상기 한정 추출된 물체 이동 가능 영역 내에서 물체를 추적하는 단계를 포함하여 이루어진다.
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公开(公告)号：KR1020140080857A
公开(公告)日：2014-07-01
申请号：KR1020120149328
申请日：2012-12-20
Applicant: 한국과학기술연구원
CPC classification number: A61F2/70 , A61F2/54 , A61F2/583 , A61F2/68 , A61F2/72 , A61F2002/6881 , A61F2002/701 , A61F2002/704 , A61F2002/705
Abstract: According to the present invention, provided is an apparatus for controlling artificial prosthetic hands, comprising: a head-up display interface unit; and a control unit for controlling artificial prosthetic hands in response to the inputs of the head-up display interface unit, wherein the apparatus for controlling artificial prosthetic hands receives inputs by using gazes or eye movements of a user.
Abstract translation: 根据本发明，提供一种用于控制人造假手的装置，包括：平视显示接口单元; 以及用于响应于平视显示接口单元的输入来控制人造假手的控制单元，其中用于控制人造假手的装置通过使用用户的凝视或眼睛运动接收输入。
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公开(公告)号：KR101402738B1
公开(公告)日：2014-06-03
申请号：KR1020120152020
申请日：2012-12-24
Applicant: 한국과학기술연구원
CPC classification number: H04N7/10 , G06K9/4614 , H01B7/0876 , H01B9/00 , H04N5/225
Abstract: The present invention relates to a method and a device for detecting an abnormality of a line which is very useful in processing an image ing real time, in multiple channels on a line such as a power line, and a system using the same. The method for detecting abnormality of a line in accordance with an embodiment of the present invention includes a step of obtaining a line image by focusing on the line with a camera; a step of filtering the obtained image to extract energy corresponding to a predetermined frequency area and a predetermined direction; and a step of determining the abnormality of the line when the energy of the predetermined direction and the predetermined frequency according to the filtering is more than a preset reference value.
Abstract translation: 本发明涉及一种用于检测线路异常的方法和装置，其在诸如电力线的线路上的多个通道中实时地处理图像非常有用，并且使用该方法和装置。 根据本发明的实施例的用于检测线的异常的方法包括通过用相机聚焦在线上获得线图像的步骤; 对获得的图像进行滤波以提取与预定频率区域和预定方向相对应的能量的步骤; 以及当根据所述滤波的所述预定方向和所述预定频率的能量大于预设参考值时，确定所述线路的异常的步骤。
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公开(公告)号：KR1020130137262A
公开(公告)日：2013-12-17
申请号：KR1020120060697
申请日：2012-06-07
Applicant: 한국과학기술연구원
CPC classification number: G09B19/00 , B25J9/16 , B25J9/1664 , G06F9/44
Abstract: A sociability training device and a method thereof are disclosed. The sociability training device which includes an input unit receives the behavior information of a trainee; a trainee state analysis unit which distinguishes the behavior information of the trainee into one among excitement information, pleasure information, and the closeness information and analyzes the state of the trainee; a training mode determining unit which determines a training mode according to the results of the analysis of the trainee; and a robot control unit which controls a robot according to the determined training mode. [Reference numerals] (AA) Start;(BB) End;(S401) Receive various pieces of input information;(S402) Analyze the state of a trainee;(S403) Select a training mode;(S404) Determine the speed of a robot and the robot's action range;(S405) Control the robot
Abstract translation: 公开了社交性训练装置及其方法。 包括输入单元的交际训练装置接收受训者的行为信息; 实习生状态分析单元，将学员的行为信息区分为兴奋信息，快乐信息和亲密信息之一，并分析受训者的状态; 训练模式确定单元，其根据所述受训者的分析结果确定训练模式; 以及根据所确定的训练模式来控制机器人的机器人控制单元。 （AA）开始;（BB）结束;（S401）接收各种输入信息;（S402）分析受训者的状态;（S403）选择训练模式;（S404）确定速度 机器人和机器人的动作范围;（S405）控制机器人
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公开(公告)号：KR1020130136719A
公开(公告)日：2013-12-13
申请号：KR1020120060343
申请日：2012-06-05
Applicant: 한국과학기술연구원
Abstract: A driving roller for a cable testing robot for passing obstacles which tests the state of a cable while moving in the longitudinal direction of a transmission line and a cable testing robot including the same are provided. The driving roller includes a cylindrical body; and a first roller groove and a second roller groove formed along the lateral periphery of the body. The second roller groove is formed on the outer side of a radial direction of the body in comparison with the first roller groove. An opening of the first roller groove is connected to the second roller groove, and the cross sectional area of the first roller groove is smaller than that of the second roller groove so that the transmission line is received in the first roller groove, and an obstacle which is formed on the middle part of the transmission line and of which the cross sectional area is larger than that of the transmission line is received in the second roller groove.
Abstract translation: 本发明提供了一种电缆测试机器人的驱动辊，用于在传输线的纵向方向上移动时测试电缆的状态的障碍物以及包括其的电缆测试机器人。 驱动辊包括圆筒体; 以及沿着主体的侧边缘形成的第一滚子槽和第二滚子槽。 与第一滚子槽相比，第二滚子槽形成在主体的径向外侧。 第一滚子槽的开口连接到第二滚子槽，第一滚子槽的截面积小于第二滚子槽的横截面积，使得传输线被容纳在第一滚子槽中，并且障碍物 其形成在传输线的中间部分，并且其横截面积大于传输线的截面面积被接收在第二辊槽中。
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Patent Agency Ranking
公开(公告)号：KR101307783B1
公开(公告)日：2013-09-12
申请号：KR1020110110626
申请日：2011-10-27
Applicant: 한국과학기술연구원
Abstract: 사회성 훈련 장치 및 그 방법이 개시된다. 피훈련자의 행동 정보를 입력받는 입력부; 입력받은 피훈련자의 행동 정보를 분석하여 피훈련자의 상태를 분석하는피훈련자 상태 분석부; 피훈련자의 분석 상태에 따라 훈련 모드를 결정하는 훈련 모드 결정부; 결정된 훈련 모드에 따라 로봇을 제어하는 로봇 제어부를 포함하는 사회성 훈련 장치가 개시된다. 또한 피훈련자의 행동 정보를 입력받는 단계; 입력받은 피훈련자의 행동 정보를 분석하여 피훈련자의 상태를 분석하는 단계; 및 피훈련자의 분석 상태에 따라 훈련 모드를 결정하는 단계; 결정된 훈련 모드에 따라 로봇을 제어하는 단계를 포함하는 사회성 훈련 방법이 개시된다.
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公开(公告)号：KR1020130058173A
公开(公告)日：2013-06-04
申请号：KR1020110124037
申请日：2011-11-25
Applicant: 한국과학기술연구원
IPC: A61B5/0476 , A61B5/0482 , A61B5/0484
CPC classification number: A61B5/04842 , A61B5/0484 , A61B5/04845 , A61B5/04847
Abstract: PURPOSE: A robot-based autism diagnostic device that uses an EEG(electroencephalogram), and a method thereof are provided to use an EEG characteristic of an autistic child which is differently observed from the EEG characteristic of a normal child under a specific event circumstance which is generated by a robot, thereby performing an early diagnosis which is required for an early treatment. CONSTITUTION: A robot-based autism diagnostic device that uses an EEG includes an EEG signal detector(100) that detects an EEG signal which is generated by an event which is provided by the EEG signal detector which is attached to the head of a child with an autistic symptoms; and a robot(200) that diagnoses the progress of autism by receiving the EEG signal which is detected by the EEG signal detector(100).
Abstract translation: 目的：提供一种使用EEG（脑电图）的机器人自闭症诊断装置及其方法，以使用与特定事件环境下的正常儿童的EEG特征不同的自闭症儿童的EEG特征，其中， 由机器人产生，从而进行早期治疗所需的早期诊断。 构成：使用EEG的基于机器人的自闭症诊断装置包括EEG信号检测器（100），其检测由由EEG信号检测器提供的事件产生的EEG信号，所述EEG信号检测器附接到儿童的头部， 自闭症状 以及通过接收由EEG信号检测器（100）检测到的EEG信号来诊断自闭症进展的机器人（200）。
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公开(公告)号：KR1020130058172A
公开(公告)日：2013-06-04
申请号：KR1020110124036
申请日：2011-11-25
Applicant: 한국과학기술연구원
CPC classification number: H04N7/18 , H04N5/23219 , H04N5/23296
Abstract: PURPOSE: A system and a method for sensing the face of an intruder are provided to photograph every portion of an intruder with a PTZ(Pan, Tilt, Zoom) camera and to reconstruct even concealed portion of the intruder by combination of every photographed image, thereby correctly detecting the face of the intruder. CONSTITUTION: An intruder detecting unit(300) detects an intruder by receiving images photographed by a PTZ camera(100). An intruder tracking unit(400) tracks the detected intruder. A face sensing unit(500) senses the face of the intruder from the images. A control unit(200) determines the degree of discrimination of the detected face. When it is not possible to discriminate the face of the intruder, a face combination generator(600) senses the face of the intruder using the combination of the images. [Reference numerals] (100) PTZ camera; (200) Control unit; (300) Intruder detecting unit; (400) Intruder tracking unit; (500) Face sensing unit; (600) Face combination generator; (700) Image transmission unit; (800) Memory unit; (810) Pan mode photographed-image DB; (820) Tilt mode photographed-image DB; (830) Zoom mode photographed-image DB
Abstract translation: 目的：提供一种用于感测入侵者脸部的系统和方法，用PTZ（Pan，Tilt，Zoom）摄像机拍摄入侵者的每一部分，并通过组合每个拍摄的图像来重建甚至隐藏的入侵者部分， 从而正确地检测入侵者的脸部。 构成：入侵者检测单元（300）通过接收由PTZ摄像机（100）拍摄的图像来检测入侵者。 入侵者跟踪单元（400）跟踪检测到的入侵者。 面部感测单元（500）从图像中感测入侵者的脸部。 控制单元（200）确定检测到的面部的辨别程度。 当不可能区分入侵者的脸部时，面部组合发生器（600）使用图像的组合来感测入侵者的脸部。 （附图标记）（100）PTZ摄像机; （200）控制单元; （300）入侵者检测单元; （400）入侵者跟踪单位; （500）面部感应单元; （600）面组合发电机; （700）图像传输单元; （800）存储单元; （810）Pan模式拍摄图像DB; （820）倾斜模式拍摄图像DB; （830）缩放模式拍摄 - 图像DB
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公开(公告)号：KR1020130046200A
公开(公告)日：2013-05-07
申请号：KR1020110110626
申请日：2011-10-27
Applicant: 한국과학기술연구원
Abstract: PURPOSE: A device and a method for training sociality are provided to actively control a robot according to the behaviors of autistic children and to train the sociality of the autistic children. CONSTITUTION: A device for training sociality comprises an input unit, a trainee condition analyzing unit, a training mode decision unit, and a robot control unit. The input unit receives behavior information of the trainee(S401). The trainee condition analyzing unit analyzes conditions of the trainee by analyzing the behavior information of the trainee(S402). The training mode decision unit decides the training mode by analyzing the conditions of the trainee(S403). The robot control unit controls the robot according to the training mode(S405). [Reference numerals] (AA) Start; (BB) End; (S401) Receive various input information; (S402) Analyze conditions of a trainee; (S403) Determine a training mode; (S404) Determine the speed and behavior range of a robot; (S405) Control the robot
Abstract translation: 目的：提供一种培养社会性的设备和方法，根据自闭症儿童的行为积极控制机器人，培养自闭症儿童的社会性。 构成：用于训练社会性的装置包括输入单元，实习条件分析单元，训练模式决定单元和机器人控制单元。 输入单元接收受训者的行为信息（S401）。 实习生条件分析单元通过分析受训者的行为信息来分析受训者的状况（S402）。 训练模式决定单元通过分析受训者的状况来决定训练模式（S403）。 机器人控制单元根据训练模式来控制机器人（S405）。 （附图标记）（AA）开始; （BB）结束; （S401）接收各种输入信息; （S402）分析学员的情况; （S403）确定训练模式; （S404）确定机器人的速度和行为范围; （S405）控制机器人
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公开(公告)号：KR101184588B1
公开(公告)日：2012-09-21
申请号：KR1020100136158
申请日：2010-12-28
Applicant: 한국과학기술연구원
IPC: G06T7/00
Abstract: 본 발명은 물체의 시점 변화에 강건한 윤곽선 기반의 범주 물체 인식 방법 및 장치에 관한 것으로, 보다 상세하게는 영상데이터를 입력받으면 상기 영상데이터의 윤곽선을 추출하고, 상기 윤곽선에서 특징점들을 추출하여 물체를 바라보는 시점을 미리 가정하지 않고 특징점 쌍에 대해 물체의 시점 변화에 강건한 형태기술자 벡터를 이용하여 범주 물체를 인식하는, 물체의 시점 변화에 강건한 윤곽선 기반의 범주 물체 인식 방법 및 장치에 관한 것이다.
이를 위하여, 본 발명에 따른 물체의 시점 변화에 강건한 윤곽선 기반의 범주 물체 인식 방법은 (a) 영상데이터를 입력받는 단계와 (b) 상기 영상데이터 중에서 범주 물체를 인식하는 단계 및 (c) 범주 물체 인식 결과를 출력하는 단계를 포함한다.
이에 따라, 물체의 시점에 대한 가정 없이도 다양한 시점에서의 범주 물체를 인식할 수 있다.
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