• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.105.4-105
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• 2002

The development of a teleoperated mobile robot, Kaerot/m2, has been described. Kaerot/m2 consists of three subsystems - a 4 wheeled mechanism with the dual reconfigurable crawler arms, a thermal image monitoring system , and an extendable long reach mast. The mechanical design, control system of Kaerot/m2 in terms of remote inspection operation at a high radiation level of the Calandria face environment has been shown. Kaerot/m2 is capable of detecting the degraded locations of the Calandria face in a remote manner.

• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.21-28
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• 2015

In this paper, we propose a method of glasses detection in facial image. we develop a detection method of glasses with a weighted sum of the results that detected by facial element detection and glasses frame candidate region. Component of the face detection method detects the glasses, by defining the detection probability of the glasses according to the detection of a face component. Method using the candidate region of the glasses frame detects the glasses, by defining feature of the glasses frame in the candidate region. finally, The results of the combined weight of both methods are obtained. The proposed method in this paper is expected to increase security system's recognition on facial accessories by raising detection performance of glasses or sunglasses for using ATM.

• 대한전기학회논문지
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• 제41권8호
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• pp.922-931
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• 1992

This paper presents an efficient algorithm for converting the boundary representation of a polyhedron to its corresponding octree representation which is convenient for detecting intersection between objects. In order to determine the states of octants efficiently and quickly, our algorithm consists of three basic processes which use the bounding box, the infinite plane and the projection. In our conversion algorithm, the states of octants are determined by performing one of these three processes according to the intersecting pattern of an octant with a polyhedron, instead of by performing only a face-to-face intersection test repeatedly. In particular, states of 8 suboctants are determined completely by performing the process using only the infinite plane, when the given octant is intersected with only a patch of the polyhedron. Finally, by using a 3D display method and a volume ratio method, it is confirmed that the octree converted by out algorithm is accurate. It is also confirmed that the conversion time is reduced in our algorithm.

• Journal of information and communication convergence engineering
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• 제3권1호
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• pp.56-61
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• 2005

In this paper, we present a video rate control scheme for storage and delivery in which the time-varying viewing interests are controlled by human gaze. To track the gaze, the pupil's movement is detected using the three-step process : detecting face region, eye region, and pupil point. To control bit rates, the quantization parameter (QP) is changed by considering the static parameters, the video object priority derived from the pupil tracking, the target PSNR, and the weighted distortion value of the coder. As results, we achieved human interfaced visual model and corresponding region-of-interest rate control system.

• Journal of Information Processing Systems
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• 제15권5호
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• pp.1029-1035
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• 2019

In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend human capabilities in various fields such as face recognition for security, weather prediction, and so on. Various learning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, to increase accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake news spread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate movie-based recommendation systems. In this paper, various algorithms are presented to mitigate these issues in different systems and services. Convolutional neural network algorithms are used for detecting fake news in Korean language with a Word-Embedded model. It is based on k-clique and data mining and increased accuracy in personalized recommendation-based services stock selection and volatility delay in stock prediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.

• 한국멀티미디어학회논문지
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• 제22권12호
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• pp.1447-1456
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• 2019

As artificial intelligence technology is actively used in image processing, it is possible to generate high-quality fake images based on deep learning. Fake images generated using GAN(Generative Adversarial Network), one of unsupervised learning algorithms, have reached levels that are hard to discriminate from the naked eye. Detecting these fake images is required as they can be abused for crimes such as illegal content production, identity fraud and defamation. In this paper, we develop a deep-learning model based on CNN(Convolutional Neural Network) for the detection of StyleGAN fake images. StyleGAN is one of GAN algorithms and has an excellent performance in generating face images. We experiment with 48 number of experimental scenarios developed by combining parameters of the proposed model. We train and test each scenario with 300,000 number of real and fake face images in order to present a model parameter that improves performance in the detection of fake faces.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 추계학술대회
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• pp.167-170
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• 2010

본 논문에서는 프로젝션 함수와 허프 변환을 이용하여 영상에서 눈동자를 찾는 방법을 제안한다. 먼저, 영상으로부터 얼굴영역을 추출한 다음, 눈썹과 눈동자의 밝기변화의 특징을 이용할 수 있는 integral projection function과 variance projection function을 사용하여 눈 영역을 검출한다. 검출된 눈 영역에서 눈동자 중심좌표를 구하기 위해 원형 허프 변환을 이용한다. 원형 허프 변환에 사용된 좌표는 sobel edge mask를 사용하여 구한다. FERET database의 정면 얼굴 영상을 이용하여 제안된 방법으로 실험한 결과 만족할 만한 결과가 나왔다.

• 전자공학회논문지 IE
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• 제43권2호
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• pp.30-38
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• 2006

본 논문은 비디오 객체에서 사용자의 조작 없이 실시간적으로 원하는 영상 부분을 분할해 검출할 수 있도록 MPEG-7에서 제시한 컬러 공간 분포 HMMD 모델을 이용하였다. 여기서, 얼굴 이외의 부분을 잡음으로 간주하여, 제거하기 위해 웨이브렛 형태학을 적용하였으며, 러프 집합을 통하여 최적의 합성을 하였다. 본 논문에서 제안된 비디오 객체 검출 시스템은 다양한 크기의 영상에 적용하여 얼굴 객체를 기존의 알고리즘보다 정확하게 검출함으로서 우수함을 확인하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.955-956
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• 2008

This paper presents a new method for illumination normalization in eye detection. Based on the retinex image formation model, we employ the discrete wavelet transform to remove the lighting effect in face image data. The final result based on the proposed method shows the better performance in detecting eyes compared with previous work.

• 조명전기설비학회논문지
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• 제17권5호
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• pp.68-79
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• 2003

본 논문에서는 여러 사람이 참여하는 영상 회의에서 입술 움직임 정보를 이용하여 화자를 검출하는 시스템을 구현하였다. 구현된 시스템은 얼굴색 정보와 형태 정보를 이용하여 각 사람의 얼굴 및 입술 영역을 검출한 후, 입술 영역에서 이전 프레임과의 변화량을 계산하여 화자를 검출한다. 검출된 화자를 클로즈업하기 위하여 두 대의 CCD카메라를 사용하였으며, RS-232C시리얼 포트를 이용하여 PTZ 카메라를 제어한다. 실험 결과 3인 이상의 입력 동영상에서 얼굴의 기울어짐에 무관하게 화자를 검출할 수 있었으며 최초 기준 영상에서 화자를 클로즈업하는데 약 4∼5초 정도의 시간이 소요되었다. 또한 320${\times}$240 크기의 얼굴 영역 화면과 전체적인 배경 화면을 동시에 제공하므로 영상회의 및 인터넷 방송 등과 같은 영상 전송 시스템에서 보다 효율적인 의사 전달이 가능하게 하였다.