• 한국디지털건축인테리어학회논문집
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• 제9권3호
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• pp.95-102
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• 2009

An architectural space can be considered a life form that interconnects a number of architectural elements such as the humans who live in it. It is difficult to understand and evaluate the complexity of the interrelation between each element, but there have been various attempts to understand and evaluate this architectural space. The Space Syntax that emerged in 1980s has been studied and used more frequently than other methods. Space Syntax is the space analysis tool that analyzes the physical structure of space and represents it as a graph. Space syntax enables its various applications in space analysis by quantifying each spatial property of a whole structure, analyzing it systemically and objectively based on mathematical logic, and representing the results as a quantitative value. Integration of Space Syntax, a widely used index, reflects human behavior in spatial configuration. Meanwhile, there have been various studies in the field of architectural environmental psychology about the relationships between space and human behavior by applying behavioral science to architectural plan. One of the most widely used one is spatial behavior simulation which uses models and simulates the behavioral characteristics to anticipate practical situations and investigate the behavior related spatial problems. In this study, which focuses on the accessibility of the space syntax model, the usefulness of space will be analyzed through the simulation of human behavior that moves through each space. Furthermore, the validity of index will be verified by displaying several examples and compared with integration in space syntax, which represents the usefulness of space.

• 전자공학회논문지CI
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• 제41권4호
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• pp.9-21
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• 2004

본 논문은 동영상내의 객체를 자동으로 추출하고 추적할 수 있는 유전자 알고리즘 기반의 분할 방법을 제안한다. 제안된 방법은 시간 분할과 공간 분할로 이루어진다. 공간 분할은 각 프레임을 정확한 경계를 가진 영역으로 나누고 시간 분할은 각 프레임을 전경 영역과 배경 영역으로 나눈다. 공간 분할은 분산 유전자 알고리즘을 이용하여 수행된다. 그러나, 일반적인 유전자 알고리즘과는 달리, 염색체는 이전 프레임의 분할 결과로부터 초기화되고, 동적인 객체 부분에 대응하는 불안정 염색체만이 진화연산자에 의해 진화된다. 시간 분할은 두 개의 연속적인 프레임의 밝기 차이에 기반을 둔 적응적 임계치 방법에 의해 수행한다. 얻어진 공간과 시간 분할 결과의 결합을 통해서 객체를 추출하고, 이 객체들은 natural correspondence에 의해 전체 동영상을 통해 정확히 추적된다. 제안된 방법은 다음의 두 가지 장점을 가진다. 1) 제안된 비디오 분할 방법은 사전 정보를 필요로 하지 않는 자동 동영상 분할 방법이다. 2) 제안된 공간 분할방법은 기존의 유전자 알고리즘보다 해공간의 효율적인 탐색을 제공할 수 있을 뿐만 아니라, 정확한 객체 추적 메커니즘을 포함하고 있는 새로운 진화 알고리즘이다. 이러한 장점들은 제안된 방법이 잘 알려진 동영상과 실제 동영상에 성공적으로 적용됨을 통해 검증된다.

• 한국수학교육학회지시리즈A:수학교육
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• 제60권2호
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• pp.159-172
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• 2021

본 연구의 목적은 조작 교구와 탐구형 기하 소프트웨어를 활용한 전개도 학습이 초등학교 5학년 학생들의 공간 감각에 주는 영향을 비교·분석하는 것이다. 이를 위해 한 실험집단은 조작 교구인 지오픽스를 한 실험집단은 탐구형 기하 소프트웨어인 Cabri 3D를 활용하여 전개도를 학습하였다. 비교 집단은 교구나 소프트웨어의 사용 없이 학습지만으로 학습을 진행하였다. 사전과 사후에 공간 감각 검사를 실시하여 그 수준을 파악하였고, 시선 추적 검사를 실시하여 전개도 과제를 해결하는 학생들의 전략을 분석하였다. 그 결과 조작 교구인 지오픽스를 활용한 전개도 학습이 공간 감각에 가장 효과적이었으며, Cabri 3D 또한 전개도를 학습하기 위한 좋은 도구가 될 수 있음을 확인할 수 있었다. 또한, 전개도 학습 이후 학생들의 해결 전략은 가장 효율적인 전략이었던 분석적 전략이 증가하였으며, 이러한 과정에서 시선 추적은 학생들의 전략을 탐색하는 매우 유용한 도구가 됨을 알 수 있었다.

• Journal of Welding and Joining
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• 제22권6호
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• pp.43-49
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• 2004

In this study, a visual sensor system which can detect I-butt weld joint with height variation and includes a seam tracking algorithm was investigated. Three-dimensional position of an object can be acquired by using the method of distance measurement, i.e., an optical trigonometry which results from the spatial relations between the camera, the object and the structured light by a visible laser. Effects of laser intensity and iris number for the image quality as well as object material were investigated for the optical system design. For the image processing, a region of interest is defined from the whole image and a line image of laser is drew by using the gray level difference in the image. From the drew laser line, the weld joint can be recognized in searching the biggest point position calculated from the central difference method. Through a series of welding experiments, a good tracking performance was confirmed under GMA welding.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2008년도 공동추계학술대회
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• pp.245-246
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• 2008

The goal of this study is to explore the possibility of KLT tracker for tracking the features between two images including rotation and shift. As a test site, Jangsu-Gun area of South Korea is selected and the images taken from UAV camera are used for analysis. The analysis was carried out using KLT tracker developed in a PC environment. The results of the experiment used two images with the large overlapping area are compared with the results of two images with the little overlapping area and rotation. Overall, the research indicates that the integrated features of littlerotation and motion images can significantly increase during the tracking process. But using KLT tracker for extracting and tracking features between images with large rotation and motion, the number of tracked features are decreased.

• 대한임베디드공학회논문지
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• 제11권4호
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• pp.219-225
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• 2016

Visual object tracking is one of the key tasks in computer vision. Robust trackers should address challenging issues such as fast motion, deformation, occlusion and so on. In this paper, we therefore propose a visual object tracking method that exploits inter-frame correlations of convolutional feature maps in Convolutional Neural Net (ConvNet). The proposed method predicts the location of a target by considering inter-frame spatial correlation between target location proposals in the present frame and its location in the previous frame. The experimental results show that the proposed algorithm outperforms the state-of-the-art work especially in hard-to-track sequences.

• 한국가시화정보학회:학술대회논문집
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• 한국가시화정보학회 2004년도 Proceedings of 2004 Korea-Japan Joint Seminar on Particle Image Velocimetry
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• pp.91-110
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• 2004

A comprehensive three-dimensional nano-particle tracking technique in micro- and nano-scale spatial resolution using the Total Internal Reflection Fluorescence Microscope (TIRFM) is discussed. Evanescent waves from the total internal reflection of a 488nm argon-ion laser are used to measure the hindered Brownian diffusion within few hundred nanometers of a glass-water interface. 200-nm fluorescence-coated polystyrene spheres are used as tracers to achieve three-dimensional tracking within the near-wall penetration depth. A novel ratiometric imaging technique coupled with a neural network model is used to tag and track the tracer particles. This technique allows for the determination of the relative depth wise locations of the particles. This analysis, to our knowledge is the first such three-dimensional ratiometric nano-particle tracking velocimetry technique to be applied for measuring Brownian diffusion close to the wall.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.62-67
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• 2009

기존의 증강현실 기반 상호작용 기법은 상호작용 주체의 원활한 추적을 위해 마커 기반의 패들이나 데이터 글러브 등의 부가적인 입력장치에 의존하거나 제한적인 3차원 입력만을 허용하는 경우가 많았다. 본 논문에서는 대상 개체 주변 공간의 물리적 점유를 감지하여 사용자의 입력을 해석하는 비접촉식 수동형 공간 상호작용 기법을 제안한다. 제안된 방법은 깊이 카메라로 구성한 증강현실 환경에 가상의 공간 센서를 배치하여 사용자의 입력을 공간적으로 해석한다. 그 결과, 부가적인 입력장치의 착용이 필요하지 않으며, 입력 형태에 대한 제약을 최소화하고, 증강된 영상 내의 상호작용 객체 간에 정확한 거리감을 제시한다. 향후 이러한 기법은 미니어쳐 AR 시스템과 같은 동적 콘텐츠 전시 플랫폼의 인터페이스에 적용될 것으로 기대된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.34-39
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• 2002

Road information is very important for topographic mapping, transportation application, urban planning and other related application fields. Therefore, automatic detection of road networks from spatial imagery, such as aerial photos and satellite imagery can play a central role in road information acquisition. In this paper, we use least squares correlation matching alone for road center tracking and show that it works. We assumed that (bright) road centerlines would be visible in the image. We further assumed that within a same road segment, there would be only small differences in brightness values. This algorithm works by defining a template around a user-given input point, which shall lie on a road centerline, and then by matching the template against the image along the orientation of the road under consideration. Once matching succeeds, new match proceeds by shifting a matched target window further along road orientation at the target window. By repeating the process above, we obtain a series of points, which lie on a road centerline successively. A 1m resolution IKONOS images over Seoul and Daejeon were used for tests. The results showed that this algorithm could extract road centerlines in any orientation and help in fast and exact he ad-up digitization/vectorization of cartographic images.

• Journal of Astronomy and Space Sciences
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• 제27권3호
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• pp.245-252
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• 2010

Korea Astronomy and Space Science Institute (KASI) has developed a mobile satellite laser ranging (SLR) system called ARGO-M since 2008 for space geodesy research and precise orbit determination technologies using SLR with mm level accuracy. ARGO-M is capable of night tracking and daylight tracking for which requires spatial, spectral and time filters due to high background noises. In this study, characteristics and specifications of ARGO-M are discussed and its tracking capabilities of night and daylight tracking are analyzed for STSAT-2B and KOMPSAT-5 through link budget. Additionally false alarm and signal detection probabilities are also analyzed depending on spectral and time filters for daylight tracking for these satellites.