• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2645-2648
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• 2003

In this paper, real-time and reconfiguable hardware filter for face recognition is proposed and implemented on FPGA chip using verilog-HDL. In general, face recognition is considerably difficult because it is influenced by noises or the variation of illumination. Some of the commonly used filters such s histogram equalization filter, contrast stretching filter for image enhancement and illumination compensation filter are proposed for realizing more effective illumination compensation. The filter proposed in this paper was designed and verified by debugging and simulating on hardware. Experimental results show that the proposed filter system can generate selective set of real-time reconfiguable hardware filters suitable for face recognition in various situation.

• Review of KIISC
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• v.12 no.2
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• pp.34-40
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• 2002

컴퓨터와 유\ulcorner무선 인터넷이 확산되어 더욱 보안의 중요성이 요구되면서 살아있는 개별 인간의 신체 일부를 이용한 생체인증 보안기술이 핫 이슈로 회자되고있다. 지문인증, 얼굴인증, 홍채인증, 정맥인증, DNA 인증, 뇌파인증, 손금/손모양인증, 음성인증, 서명인증 등 많은 생체인식기술들은 이미 수십 년 전부터 연구되었고, 과거 한때 상품화도 되었으나 시대의 요구에 부응하지 못하고 사라졌지만, 최근 들어서는 더욱 활발한 연구가 진행되고 있고 다양한 영역에서 상용화가 된 상태이다. 본 서명인증 보안기술은 전자펜(혹은 마우스)으로 입력된 개인의 동적인 서명을 이용하는 것으로써, 쓰는 모양, 쓰는 속도, 필체의 각도, 획수, 획순서, 펜DOWN/UP 정보 등의 여러 가지 정보를 비교\ulcorner분석하여 진서명인지 모조서명인지를 실시간으로 검증하는 것이다. 경제성, 보안성, 활용성, 안정성, 편의성 등의 여러 가지 관점에서 볼 때, 앞으로 널리 확산될 전망이다. 본 논문에서는 지난 10여 년간 직접 연구 개발하여 2000년 8월에 교수실험실창업으로 사업화한 서명기술의 개요와 응용/구축사례를 소개하고자 한다.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.2
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• pp.130-137
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• 2006

In this paper, we propose a method of selecting new types of rectangle features that are suitable for facial expression recognition. The basic concept in this paper is similar to Viola's approach, which is used for face detection. Instead of previous Haar-like features we choose rectangle features for facial expression recognition among all possible rectangle types in a 3${\times}$3 matrix form using the AdaBoost algorithm. The facial expression recognition system constituted with the proposed rectangle features is also compared to that with previous rectangle features with regard to its capacity. The simulation and experimental results show that the proposed approach has better performance in facial expression recognition.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.283-286
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• 2006

안전한 네트워크를 운영하기 위해, 네트워크 침입 탐지에서 오탐지율은 줄이고 정탐지율을 높이는 것은 매우 중요한 일이다. 최근 얼굴 인식, 생물학 정보칩 분류 등에서 활발히 적용 연구되는 SVM을 침입탐지에 이용하면 실시간 탐지가 가능하므로 탐지율의 향상을 기대할 수 있다. 그러나 입력 값들을 벡터공간에 나타낸 후 계산된 값을 근거로 분류하므로, SVM만으로는 이산형의 데이터는 입력 정보로 사용할 수 없다는 단점을 가지고 있다. 따라서 이 논문에서는 데이터마이닝의 의사결정트리를 SVM에 결합시킨 침입 탐지 모델을 제안하고 이에 대한 성능을 평가한 결과 기존 방식에 비해 침입 탐지율, F-P오류율, F-N오류율에 있어 각각 5.6%, 0.16%, 0.82% 향상이 있음을 보였다.

• Journal of Integrative Natural Science
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• v.1 no.2
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• pp.133-139
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• 2008

Face recognition technologies using PCA(principal component analysis) recognize faces by deciding representative features of faces in the model image, extracting feature vectors from faces in a image and measuring the distance between them and face representation. Given frequent recognition problems associated with the use of point-to-point distance approach, this study adopted the K-nearest neighbor technique(class-to-class) in which a group of face models of the same class is used as recognition unit for the images inputted on a continual input image. This paper proposes a new PCA recognition in which database of faces.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.935-936
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• 2006

In this paper, we have applied a real-time face processor includes detection, recognition, and learning to a intelligent store management service robot. We use the Haar classifier and adaboost learning algorithm for face detection. For face recognition and learning, a PCA algorithm and a SVDD algorithm is used. We have developed a store management service robot and applied these algorithms to verify the performance.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.245-248
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• 2023

본 논문은 스마트 옷장의 시장성과 기능에 대해 연구하고, 사용자에게 편의성과 개인화된 서비스(실시간 정보 제공, 온습도 제어, UV 살균 기능) 등 다양한 기능을 통해 사용자의 요구를 충족시키며, 스마트 기기와의 연동, 맞춤형 스타일 추천, 얼굴 인식 기술 등의 추가 기능을 통해 지속적인 개선과 혁신을 제안한다.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.160-163
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• 2006

If an instruction system understood the interest and activeness of a learner in real time, it could provide some interesting factors when a learner is tired of learning. It could work as an adaptive tutoring system to help a learner to understand something difficult to understand. Currently the area of the facial expression recognition mainly deals with the facial expression of adults focusing on anger, hatred, fear, sadness, surprising and gladness. These daily facial expressions couldn't be one of expressions of a learner in e-Learning. They should first study the facial expressions of a learner in e-Learning to recognize the feeling of a learner. Collecting as many expression pictures as possible, they should study the meaning of each expression. This study, as a prior research, analyzes the feelings of learners and facial expressions of learners in e-Learning in relation to the feelings to establish the facial expressions database.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.3
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• pp.88-97
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• 2000

This paper presents motion estimation method using region segmentation information Motion estimation which is very difficult to be implemented only by software because of intensive computation cost, is implemented by special-purpose hardware in real-time applications In this paper, we propose region based motion estimation algorithm which can reduce the computation cost by using region segmentation information and setting the variable search window compared with FSMA algorithm Secondly, another proposed algorithm is to segment semantic region like face for selective coding and transfer of semantic region using segmented region information This work alms to improving the subjective quality of skin color region or face region m the picture that has slow motion and IS mainly composed of one or two speakers of video conference and video telephony applications.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1120-1131
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• 2016

In this paper, we propose a smoker recognition algorithm, detecting smokers in a video sequence in order to prevent fire accidents. We use description-based method in hierarchical approaches to recognize smoker's activity, the algorithm consists of background subtraction, object detection, event search, event judgement. Background subtraction generates slow-motion and fast-motion foreground image from input image using Gaussian mixture model with two different learning-rate. Then, it extracts object locations in the slow-motion image using chain-rule based contour detection. For each object, face is detected by using Haar-like feature and smoke is detected by reflecting frequency and direction of smoke in fast-motion foreground. Hand movements are detected by motion estimation. The algorithm examines the features in a certain interval and infers that whether the object is a smoker. It robustly can detect a smoker among different objects while achieving real-time performance.