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公开(公告)号：KR101360412B1
公开(公告)日：2014-02-27
申请号：KR1020080090002
申请日：2008-09-11
Applicant: 현대자동차주식회사 , 포항공과대학교 산학협력단
Abstract: 본 문서는 적외선 카메라를 이용하여 영상을 얻고 운전자의 고개 움직임을 분석하여 운전자의 산만 운전이나 졸음 운전을 판별하고 이를 운전자에게 알림으로써 안전 운전에 도움을 주는 시스템이다. 특히 선글라스나 안경을 쓴 운전자의 경우와 같이 눈이 검출되지 않는 경우에는 눈이 아닌 입과 코의 위치 정보를 이용하여 운전자의 머리 움직임 정보를 파악하기 때문에, 기존의 산만/졸음 운전 감시 시스템들보다 폭넓은 운전자층을 대상으로 적용할 수 있는 자동차 안전 운전 시스템이다.
머리 움직임, 산만/졸음 운전 판단, AAM-
公开(公告)号：KR1020100030991A
公开(公告)日：2010-03-19
申请号：KR1020080090002
申请日：2008-09-11
Applicant: 현대자동차주식회사 , 포항공과대학교 산학협력단
Abstract: PURPOSE: A distracted/drowsy driving monitor system using head motion information is provided to motor drivers' distracted/drowsy driving which causes car accidents through the motion of a driver's motion. CONSTITUTION: A distracted/drowsy driving monitor system using head motion information comprises a face detection part(20), an eye detection discriminating unit(30), a head angle and position measurement part(40), a head motion tracker(50), and a distracted/drowsy driving discriminating unit(60). The face detection part extracts the face range into face image from an input image. The eye detection discriminating unit discriminates eye from the face image. The head angle and position measurement part extracts the head angle the location through the first method. The head angle and position measurement part extracts the head angle and position measurement part through a second method. The head motion tracker tracks the motion of the head using a cylinder and an ellipse model which are installed based on the heat angle and position information.
Abstract translation: 目的：使用头部运动信息的分心/昏昏欲睡的驾驶监视器系统被提供给驾驶员的分心/困倦驾驶，其通过驾驶员动作的运动引起车祸。 构成：使用头部运动信息的分心/困倦的驾驶监视器系统包括面部检测部分（20），眼睛检测判别单元（30），头部角度和位置测量部分（40），头部运动跟踪器（50） 和分心/困倦驾驶鉴别单元（60）。 面部检测部从输入图像中提取脸部范围为脸部图像。 眼睛检测鉴别单元将眼睛与脸部图像区分开。 头角和位置测量部分通过第一种方法提取头角度的位置。 头部角度和位置测量部件通过第二种方法提取头部角度和位置测量部件。 头部运动跟踪器使用基于热角度和位置信息安装的圆柱体和椭圆模型跟踪头部的运动。
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公开(公告)号：KR101665392B1
公开(公告)日：2016-10-12
申请号：KR1020110059649
申请日：2011-06-20
Applicant: 한화테크윈 주식회사 , 포항공과대학교 산학협력단
Abstract: 본발명은, 카메라내에서입력영상데이터를처리하여특정형상의영역을검출하는형상검출방법으로서, 단계들 (a) 내지 (c)를포함한다. 단계 (a)에서는, 영상프레임의국부영역들각각에대하여, 중심화소의계조와주변화소들각각의계조와의계조차이값들이계산된다. 단계 (b)에서는, 국부영역들각각에대하여, 계조차이값들의평균값과계조차이값들각각이비교되어비교결과에따라국부경사패턴의값이구해진다. 단계 (c)에서는, 국부영역들각각으로부터얻어진국부경사패턴의값들이사용되어영상프레임에서의특정형상의영역이검출된다.
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公开(公告)号：KR100880256B1
公开(公告)日：2009-01-28
申请号：KR1020080067706
申请日：2008-07-11
Applicant: 주식회사 다우엑실리콘 , 포항공과대학교 산학협력단
CPC classification number: G06K9/00221 , G06F17/30256 , G06K9/00281 , G06K9/00597
Abstract: A system and a method for recognizing a face by using real face recognition are provided to perform face recognition by determining whether it is an actual face by using plural input images, thereby reducing the amount of operations and time for the face recognition. A face recognition system(100) comprises a face extraction unit(130), an actual face recognition unit(200), and a feature information extraction unit(150) and a face recognition unit(170). The face extraction unit extracts each face image with regard to each input image by continuously obtaining a plurality of input images. The actual face recognition unit determines whether it is an actual face by detecting the blinking of eyes by using a changed size of pupils and a change of an eye-line. The feature information extraction unit extracts feature information with regard to a predetermined face image among respective face images. The face recognition unit compares the extracted feature information with feature information of a person image stored in database to recognize a face of the input image. When a detected eye blinking frequency is larger than a threshold value, the actual face recognition unit recognizes a face in the input image as an actual face.
Abstract translation: 提供一种通过使用真实的脸部识别来识别脸部的系统和方法，以通过使用多个输入图像确定它是否为实际面部来进行面部识别，从而减少面部识别的操作量和时间。 面部识别系统（100）包括面部提取单元（130），实际面部识别单元（200）和特征信息提取单元（150）和面部识别单元（170）。 面部提取单元通过连续地获得多个输入图像来提取关于每个输入图像的每个面部图像。 实际的脸部识别单元通过使用改变的瞳孔尺寸和眼线的改变来检测眼睛的闪烁来确定它是否是真实的脸部。 特征信息提取单元提取关于各个面部图像之间的预定面部图像的特征信息。 面部识别单元将所提取的特征信息与存储在数据库中的人物图像的特征信息进行比较，以识别输入图像的面部。 当检测到的眨眼频率大于阈值时，实际面部识别单元将输入图像中的面部识别为实际面部。
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公开(公告)号：KR100779171B1
公开(公告)日：2007-11-26
申请号：KR1020060078106
申请日：2006-08-18
Applicant: 학교법인 포항공과대학교 , 포항공과대학교 산학협력단
CPC classification number: G06K9/00228 , G06T3/60 , G06T7/44 , G06T2207/30201
Abstract: An apparatus and a method for detecting a correct face in real time are provided to enable high-speed face detection by enabling a face candidate region detecting unit to extract a face candidate region by an image difference between the previous pyramid region and current pyramid region of a pyramid region in a still image or a motion image. A method for detecting a correct face in real time comprises the following steps of: extracting a face candidate region in a still image or an input image where the motion is generated; minimizing face detecting performance; detecting front, right and left faces; and detecting the correct face by minimizing the detection of a wrong face while maintaining the face detection performance by using the weight information about a face obtained in a normal face detection algorithm.
Abstract translation: 提供了一种用于实时检测正确脸部的装置和方法，用于通过使面部候选区域检测单元能够通过前一个金字塔区域和当前金字塔区域之间的图像差异提取面部候选区域来提供高速面部检测 在静止图像或运动图像中的金字塔区域。 一种用于实时检测正确脸部的方法包括以下步骤：提取静止图像中的面部候选区域或产生运动的输入图像; 最小化面部检测性能; 检测前，右，左脸; 并且通过使用关于在正常面部检测算法中获得的面部的权重信息来维持面部检测性能，通过最小化错误脸部的检测来检测正确的面部。
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Patent Agency Ranking
公开(公告)号：KR100904916B1
公开(公告)日：2009-07-01
申请号：KR1020080057935
申请日：2008-06-19
Applicant: 주식회사 다우엑실리콘 , 주식회사 크라스아이디 , 포항공과대학교 산학협력단
CPC classification number: G06K9/00275 , G06K9/4633 , G06K9/4661 , G06K9/6202
Abstract: A system and a method for recognizing a face are provided to stably recognize a face in an environment in which various lightings are changed. A face extracting unit(130) extracts a face area from an input image as a face image. A conversion image computing unit(140) produces a conversion image by using a binary pattern by comparing each pixel of the face image with pixel values of adjacent pixels. A feature information extracting unit(150) extracts feature information about the face image by multiplying the conversion image by a projection matrix. A face recognizing unit(170) recognizes a face of the input image by comparing the extracted feature information with a character image stored in a database.
Abstract translation: 提供用于识别面部的系统和方法，以在各种照明改变的环境中稳定地识别脸部。 面部提取单元（130）从输入图像中提取面部区域作为面部图像。 转换图像计算单元（140）通过将面部图像的每个像素与相邻像素的像素值进行比较，通过使用二进制图案来生成转换图像。 特征信息提取单元（150）通过将转换图像乘以投影矩阵来提取关于脸部图像的特征信息。 面部识别单元（170）通过将所提取的特征信息与存储在数据库中的字符图像进行比较来识别输入图像的面部。
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公开(公告)号：KR100839536B1
公开(公告)日：2008-06-19
申请号：KR1020060129007
申请日：2006-12-15
Applicant: 주식회사 케이티 , 포항공과대학교 산학협력단
CPC classification number: G06K9/00268 , G06K9/621 , G06T5/40 , G06T7/143 , G06T13/80
Abstract: An apparatus and a method for extracting facial feature, an apparatus and a method for extracting hair, and a system and a method for generating a photographic character are provided to offer the preprocessing of accurate face recognition and face normalizing, thereby improving face recognition performance even in a change of lighting and a pose and extracting physiognomic information for a physiognomic service. A system for generating a photographic character comprises an image input unit(10), a facial region detecting unit(20), a facial feature extracting unit(30), a hair extracting unit(40), and a photographic character generating unit(50). The facial region detecting unit detects a facial region image from an image received from the outside. The facial feature extracting unit applies IPCA(Incremental Principal Component Analysis) to an AAM(Active Appearance Model) for the facial region image detected in the facial region detecting unit to update learned AAM basis and extract facial feature, and normalizes the facial region image based on the position of the extracted facial feature. The hair extracting unit acquires an image patch corresponding a background region and an image patch corresponding to a head region in a face peripheral image received from the outside and removes the background region using the color histogram information of each image patch and a probability analysis scheme to extract a hair image. The photographic character generating unit matches the facial region image normalized in the facial feature extracting unit and the hair image extracted in the hair extracting unit to generate a photographic character.
Abstract translation: 提供面部特征的装置和方法，用于提取头发的装置和方法，以及用于产生摄影字符的系统和方法，以提供准确的面部识别和脸部归一化的预处理，从而提高脸部识别性能甚至 在变化的照明和姿势，并提取一个地理信息服务的地理信息。 一种用于产生摄影字符的系统，包括图像输入单元（10），面部区域检测单元（20），面部特征提取单元（30），脱毛单元（40）和摄影字符生成单元 ）。 面部区域检测单元从从外部接收的图像检测面部区域图像。 面部特征提取单元对面部区域检测单元检测到的面部区域图像的AAM（活动外观模型）应用IPCA（增量主成分分析），以更新已学习的AAM并提取面部特征，并且基于面部区域图像归一化 在提取的面部特征的位置。 毛发抽取单元获取与从外部接收的面部周边图像中的与头部区域相对应的背景区域和图像块的图像块，并且使用每个图像块的颜色直方图信息和概率分析方案去除背景区域， 提取头发图像。 摄影字符生成单元将在面部特征提取单元中归一化的面部区域图像和在毛发抽出单元中提取的头发图像进行匹配，生成摄影特征。
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公开(公告)号：KR100825689B1
公开(公告)日：2008-04-29
申请号：KR1020060078107
申请日：2006-08-18
Applicant: 학교법인 포항공과대학교 , 포항공과대학교 산학협력단
CPC classification number: G07F19/207
Abstract: 본 발명은 구체적으로는 얼굴 및 얼굴 부위의 특징점 추출을 통하여 정상적인 얼굴과 비정상적인 얼굴을 구분하는 얼굴 위장 판별 방법에 관한 것으로, 조명 변화에 강인하며 고속의 처리가 가능하다. 현금지급기(CD) 및 현금자동입출금기(ATM)와 같은 금융자동화기기는 사용자가 금융자동화기기에 접근하여 기기를 조작하고, 금융거래를 시도하여야만 동작된다. 본 발명은 사용자가 접근하여 기기를 조작하는 순간부터 금융거래를 시도하는 순간까지의 카메라 영상을 분석하여 정상적인 얼굴과 비정상적인 얼굴을 구분하여 정상적인 얼굴일 경우에, 시도된 금융거래를 허가하여 부정 거래를 미연에 방지하고자 하는 기술이다.
본 발명은 CD, ATM과 같은 금융자동화기기에서 CMOS 및 CCD 카메라를 통하여 영상을 획득한 후, 얼굴을 검출하고 검출한 얼굴을 바탕으로 눈과 입술을 검출하여 검출한 얼굴이 신뢰성이 높은 얼굴 즉, 모자, 선글라스, 마스크 등으로 위장하지 않은 정상적인 얼굴일 경우에 금융거래를 허가하는 시스템으로 금융자동화기기에서의 부정 거래를 방지할 수 있다.-
公开(公告)号：KR1020120007959A
公开(公告)日：2012-01-25
申请号：KR1020110059649
申请日：2011-06-20
Applicant: 한화테크윈 주식회사 , 포항공과대학교 산학협력단
CPC classification number: G06T7/11 , G06T7/44 , G06T2207/10152
Abstract: PURPOSE: A method for detecting a shape by a camera is provided to be robust against a light change by using a texture pattern without directly using a gradation pattern. CONSTITUTION: The gradation difference values between the gradation of a central pixel and the gradation of surrounding pixels are calculated for each local area of an image frame(S32). The average values of the gradation difference values are compared with the gradation difference values for each local area(S33). The value of an LGP(Local Gradient Pattern) is obtained based on the comparison result. The area of a specific shape is detected from the image frame using values of the value of the LGP(S34).
Abstract translation: 目的：提供一种用于通过照相机检测形状的方法，以便通过使用纹理图案来抵抗光线变化而不直接使用渐变图案。 构成：针对图像帧的每个局部区域计算中心像素的灰度与周围像素的灰度之间的灰度差值（S32）。 将灰度差值的平均值与每个局部区域的灰度差值进行比较（S33）。 基于比较结果获得LGP（本地梯度图案）的值。 使用LGP的值的值从图像帧检测特定形状的区域（S34）。
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公开(公告)号：KR1020080016253A
公开(公告)日：2008-02-21
申请号：KR1020060078107
申请日：2006-08-18
Applicant: 학교법인 포항공과대학교 , 포항공과대학교 산학협력단
CPC classification number: G07F19/207
Abstract: A device and a method for discriminating a disguised face are provided to prevent illegal banking transaction in automatic banking devices such as an ATM(Automated Teller Machine) and a CD(Cash Dispenser) by discriminating the disguised face at high speed to minimize external environmental effect, such as weather, lighting, angle, and background, applied to a system. A motion detector detects motion by applying MCT(Modified Census Transform) to an inputted image. A candidate area selector selects a candidate area by separating a rear area of the face(308). An image detecting/image controlling part determines a face detection result, and performs face area separation and preprocess when the face is detected(312). An eye detector detects and separates an eye area from the face image(314). An eye disguise determining/processing part determines a disguised eye from the detected eye area(316). A lip detector detects and separates a lip area from the face image(318). A lip disguise determining/processing part determines a disguised lip from the detected lip area(320). A normal face determiner determines the detected face as the normal face when the lip is detected(324).
Abstract translation: 提供了一种用于区别伪装面孔的装置和方法，以通过高速辨别伪装的脸部来防止ATM（自动取款机）和CD（自动取款机）等自动银行装置中的非法银行交易，以最小化外部环境影响 ，例如天气，照明，角度和背景，应用于系统。 运动检测器通过对输入的图像应用MCT（修改的普查变换）来检测运动。 候选区域选择器通过分离面部（308）的后部区域来选择候选区域。 图像检测/图像控制部分确定面部检测结果，并且当检测到面部时执行面部区域分离和预处理（312）。 眼睛检测器检测和分离眼睛区域与面部图像（314）。 眼睛伪装确定/处理部分确定来自检测到的眼睛区域的伪装眼睛（316）。 嘴唇检测器检测和分离唇部区域与面部图像（318）。 口唇伪装确定/处理部分确定来自检测到的唇部区域的伪装唇部（320）。 当检测到唇时，正常脸部确定器将检测到的脸部确定为正常面部（324）。
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