• Title/Summary/Keyword: MO image

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Development of Drowsiness Checking System for Drivers using Eyes Image Histogram (눈 영상의 히스토그램을 이용한 운전자의 졸음 상태 체크 시스템 개발)

  • Kang, Su Min;Huh, Kyung Moo;Yang, Yeon Mo
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.4
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    • pp.330-335
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    • 2015
  • Approximately 23% of traffic accidents appear to be caused by drowsiness while driving. This fact shows that drowsy driving is a big factor in many traffic accidents. Therefore, the development of a drowsiness checking system is necessary to prevent drowsy driving. In this paper, we analyse the changes of the histogram of eye region images which are acquired using a CCD camera. We develop a drowsiness checking system using this histogram change information. The experimental results show that our proposed method enhances the accuracy of checking drowsiness by nearly 98%, and can be used to prevent vehicle accidents due to the drowsiness of a driver.

The Detection of Defects in Ferromagnetic Materials Using Magneto-Optical Sensor (자기광학센서를 이용한 강자성체 결함 탐상)

  • Kim, Hoon
    • Journal of Power System Engineering
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    • v.8 no.3
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    • pp.52-57
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    • 2004
  • A new non-destructive inspection technique has been developed. One characteristic of the technique is that defects are visualized by laser ray. Magnetic domains and domain walls of a magneto-optical sensor(MO sensor) are varied by the magnetic flux leaked by defects, and the variations are observed by the reflected light of the laser ray. The information of defect can remotely be inspected by this technique in a real time. This paper describes the results estimated on the 2-dimensional surface defects and opposite-side defects in a ferromagnetic material and the natural surface defect in a clutch disk wheel. The light region of a visible image and the magnitude of a reflected light increases as the input current of the magnetizer increases. The natural surface defect, that has not the width of crack's open mouth, can be also visualized like as 2-dimensional artificial defects.

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A study on amorphous silicon thin film for bolometer sensor (볼로미터 센서를 위한 비정질 실리콘 박막)

  • Kang, Tai-Young;Yang, Dae-Joon;Kim, Sang-Mo;Lim, Sung-Su;Lee, Hong-Ki;Kim, Kyoung-Hwan
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2009.06a
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    • pp.238-239
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    • 2009
  • The amorphous silicon microbolometer array has been developed by the MEMS design and fabrication technology. Before the bolometer array for the image sensor being designed, the structure of unit cell and $16\times16$ array of it was simulated, designed and fabricated. The properties of bolometer have been measured as such that the TCR -3%/K.

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SPOT Continuous Strip Image Modelling (SPOT 위성영상의 연속화상 모델링)

  • Lee, Yong-Ung;Sin, Dae-Sik;Jo, Bong-Hwan;Yu, Bok-Mo
    • 한국지형공간정보학회:학술대회논문집
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    • 1997.12a
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    • pp.17-25
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    • 1997
  • 스트립 방식으로 촬영된 위성영상의 기하학적 모델링시에는 일반적으로 단위모델별로 위성영상에서 식별이 용이한 지점을 지상기준점으로 선정하여 영상에서의 좌표를 해석도화기나 컴퓨터 화면상에서 획득하고, 그에 대응하는 지상좌표는 현지측량이나 기본지도로부터 얻는다. 현지측량방법의 경우에는 정확하고 신뢰성있는 좌표를 제공해 줄 수 있는 반면에 현지로의 접근이 용이해야 하고 비용과 시간이 많이 소요되며, 소축척의 기본지도상에서 직접 독취하는 경우에는 지도자체에 내재된 오차의 정도가 불명확하고 지상기준점으로 선정한 지점이 명확히 표기되어 있지 않은 경우가 있으므로 영상좌표 측정시에 오차의 유발 가능성이 크다. 특히 영상 해상도 $5{\sim}10m$의 연속된 화상을 3차원 기하학적 모델링을 수행하기 위하여 현지측량에 의해 지상기준점을 획득하는 방법은 경제성 및 효율성 측면에서 불리하다. 따라서 본 연구에서는 삼각점 조서를 이용하여 연속촬영된 SPOT 위성영상을 스트립 단위로 모델링하여 영상해상도 수준의 위치정확도를 얻을 수 있는 연속화상 모델링기법을 제시하였다.

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Accuracy Evaluation by GCP Acqusition Methods in Bundle Adjustment (SPOT 영상용 번들조정에서 지상기준점의 획득방법에 따른 정확도 분석)

  • Yeu, Bock Mo;Lee, Hyun Jik;Park, Hong Gi
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.11 no.4
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    • pp.163-170
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    • 1991
  • The 3 dimensional point positioning from SPOT imagery is performed by bundle adjustment methods of analytical and digital photogrammetry, and need the precise determination of image coordinates and accurate coordinates of ground control points. In this study, the authors analysed the digitized planimetric accuarcy and height accuracy of topographic maps in comparison with accurate coordinates by coordinates resulted by bundle adjustment in each cases between different acquisition method of ground control point coordinates and formats of SPOT imagery.

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Frame Rate Up Conversion for Multi-View Video (다시점 영상의 프레임율 변환 기법)

  • Yang, YoonMo;Lee, Dohoon;Oh, Byung Tae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.06a
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    • pp.228-230
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    • 2016
  • In this paper, we introduce new FRUC method for Multi-View Video based on DIBR (Depth Image based Rendering, DIBR). In the proposed method, we divide each block to sub-regions using depth map. Then, we reconstruct occlusion region information at each sub-regions by using other views. With reconstructed occlusion region information, we estimate and compensate each sub-regions' motion. The proposed method estimates more accurate motion compared to the conventional methods in occlusion region.

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Implementation of ray tracing simulator for extracting sound field parameters (음장파라미터 추출을 위한 음선추적 시뮬레이터의 구현)

  • Lee, Deok-Su;Seong, Goeng-Mo
    • The Journal of the Acoustical Society of Korea
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    • v.14 no.3
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    • pp.82-89
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    • 1995
  • A sound field simulator is constructed to obtain the sound field paramaters such as the magnitudes and directions of early reflections with moderate efforts. The proposed simulator is based on the hybrid ray tracing method that traces rays reached the listener position and convert them to image sound sources. By this approach, we can obtain the directional impulse response relatively easily with minimum casts. Simulation experiment results of several performace places are reported to how the versatility of the proposed simulator system.

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Scene Recognition Using Local and Global Features (지역적, 전역적 특징을 이용한 환경 인식)

  • Kang, San-Deul;Hwang, Joong-Won;Jung, Hee-Chul;Han, Dong-Yoon;Sim, Sung-Dae;Kim, Jun-Mo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.3
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    • pp.298-305
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    • 2012
  • In this paper, we propose an integrated algorithm for scene recognition, which has been a challenging computer vision problem, with application to mobile robot localization. The proposed scene recognition method utilizes SIFT and visual words as local-level features and GIST as a global-level feature. As local-level and global-level features complement each other, it results in improved performance for scene recognition. This improved algorithm is of low computational complexity and robust to image distortions.

Internet Virtual Reality-based Remote Control and Monitoring System and Implementation of Integrated Development Environment (인터넷 가상 현실 기반 원격 제어 및 감시 시스템과 통합 개발 환경의 구현)

  • Im, Hyeon-U;Kim, Yeong-Mo
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.11S
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    • pp.3243-3250
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    • 1999
  • There are many problems to be satisfied the various commercial demand in the present VRML node, and the VRML-based system by the contact with other technology is burdened with the direct participation of developer related with it. In this study, remote control and monitoring system using EAI(External Authoring Interface) is reposed to overcome the limit of VRML. In other words, This study is about mechanism of interaction between control and monitoring subject in real world and object in virtual world mapped with it. Object oriented method by one to one mapping of the Java class which have VRML virtual world and the object control is proposed. Introduction method of video monitoring through method of image synthesis and the integrated development environment is described. Finally automobile-gate control system based on the development method of Internet virtual reality-based system which is proposed in this study is described.

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Recognition of Patterns and Marks on the Glass Panel of Computer Monitor (컴퓨터 모니터용 유리 패널의 문자 마크 인식)

  • Ahn, In-Mo;Lee, Kee-Sang
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.52 no.1
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    • pp.35-41
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    • 2003
  • In this paper, a machine vision system for recognizing and classifying the patterns and marks engraved by die molding or laser marking on the glass panels of computer monitors is suggested and evaluated experimentally. The vision system is equipped with a neural network and an NGC pattern classifier including searching process based on normalized grayscale correlation and adaptive binarization. This system is found to be applicable even to the cases in which the segmentation of the pattern area from the background using ordinary blob coloring technique is quite difficult. The inspection process is accomplished by the use of the NGC hypothesis and ANN verification. The proposed pattern recognition system is composed of three parts: NGC matching process and the preprocessing unit for acquiring the best quality of binary image data, a neural network-based recognition algorithm, and the learning algorithm for the neural network. Another contribution of this paper is the method of generating the training patterns from only a few typical product samples in place of real images of all types of good products.