• 한국정밀공학회지
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• 제16권7호
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• pp.125-131
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• 1999

In this paper, the algorithms which can track the two dimensional moving circular object using simple vision system are described. In order to track the moving object, the process of finding the object feature points - such as centroid of the object, corner points, area - is indispensable. With the assumption of two-dimensional circular moving object, the centroid of the circular object is computed from three points on the object circumference. Different kinds of algorithms for computing three edge points - simple x directional detection method, stick method. T-shape method are suggested. Through the computer simulation and experiments, three algorithms are compared from the viewpoint of detection accuracy and computational time efficiency.

• 한국디지털건축인테리어학회논문집
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• 제2권1호
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• pp.39-44
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• 2002

Purpose of this paper is to find the Baroquely characteristics in Korean Temple Architecture.(MA KOK-SA) We could find out the characteristics as follows; First, visual freedom and floating in the arrangement of the temple buildings through segmenting the axis. Second, tension of variations in size, distance, and frame. Third, diverse sceneries provided by Sequential(dynamic) view points. Fourth, visual process and sharp contrast between horizontality and verticality, and unexpected scenery, etc.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 춘계학술대회
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• pp.149-151
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• 2011

동적 모자이크 영상 생성을 위해서는 카메라의 움직임을 계산한 후에 객체의 움직임을 인지해야 한다. 본 논문에서는 어파인 파라미터로 카메라의 움직임을 추출 하였고 지역적 탐색으로 객체의 움직임을 탐지한다. 동적 객체가 존재하는 경우엔 동적 객체 판별을 위하여 영역 분할 방법을 통하여 계산한다. 그리고 동적 객체의 궤도를 표현하기 위하여 우선적으로 동적 객체를 추출하는데 추출 방법은 4분할 탐색 기법을 이용하여 추출하게 된다. 마지막으로 구축되어진 배경 모자이크 영상위에 동적 객체의 궤도르 표현한다.

• 전자공학회논문지B
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• 제32B권3호
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• pp.48-56
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• 1995

This paper presents a method of implementing efficient optical flow estimation for dynamic scene analysis using the hierarchical Hopfield neural networks. Given the two consequent inages, Zhou and Chellappa suggested the Hopfield neural network for computing the optical flow. The major problem of this algorithm is that Zhou and Chellappa's network accompanies self-feedback term, which forces them to check the energy change every iteration and only to accept the case where the lower the energy level is guaranteed. This is not only undesirable but also inefficient in implementing the Hopfield network. The another problem is that this model cannot allow the exact computation of optical flow in the case that the disparities of the moving objects are large. This paper improves the Zhou and Chellapa's problems by modifying the structure of the network to satisfy the convergence condition of the Hopfield model and suggesting the hierarchical algorithm, which enables the computation of the optical flow using the hierarchical structure even in the presence of large disparities.

• 한국조경학회지
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• 제27권4호
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• pp.73-79
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• 1999

This study is on the production and the classification of a new appreciation methods of seascape through materials in the words of Korean popular songs. In advance, it is necessary to understand the popular songs as collective representation and the songs are analytic data. In this study, some essential elements of seascape in popular songs are analyzed and classified. They are; 1. visible elements-weather, time, season and object. 2. all senses-vision, audition, olfaction, tactile sense, and spatial sense. 3. the line of vision-static line of vision and dynamic line of vision. In this way data is produced, and then the result of this study makes appreciation methods of seascape developed. In this way, this study results in developed appreciation of seascape. This study on new understanding of appreciation methods of seascape is on the basis of a design method of water-front that is considered a visible scene, not a design of construction elements.

• 디지털산업정보학회논문지
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• 제12권4호
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• pp.115-121
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• 2016

Recently, it has become an important problem to extract semantic objects from videos, which are useful for improving the performance of video compression and video retrieval. In this thesis, an automatic extraction method of moving objects of interest in video is suggested. We define that an moving object of interest should be relatively large in a frame image and should occur frequently in a scene. The moving object of interest should have different motion from camera motion. Moving object of interest are determined through spatial continuity by the AMOS method and moving histogram. Through experiments with diverse scenes, we found that the proposed method extracted almost all of the objects of interest selected by the user but its precision was 69% because of over-extraction.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.240-243
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• 2002

본 연구에서는 인간공학적 평가를 위한 한국인 인체모델을 개발하고, 인체 모델의 평가를 위해 팔 동작의 시뮬레이션 및 리치 평가를 수행하였다. 한국인의 인체측정자료를 이용하여 통계학적 분석을 실시하고, 인체 자료생성 프로그램을 통해 인체 각 지체들의 특성치와 상관관계를 얻었다. 이를 바탕으로 인체 모델을 구성하고 가상 공간에서의 용이한 적용을 위해 인체 모델은 3차원 그래픽 기술을 통해 가시화되었다. 차량모델과 인체모델을 통합하고 차량 내에서 운전자의 팔 동작 표현 및 리치 평가기능을 구현하였다.

• Journal of Ubiquitous Convergence Technology
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• 제1권1호
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• pp.3-8
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• 2007

This paper presents a set of techniques used in a real-time visual surveillance system. The system is implemented on a low-cost embedded DSP platform that is designed to work with stationary video sources. It consists of detection, a tracking and a classification module. The detector uses a statistical method to establish the background model and extract the foreground pixels. These pixels are grouped into blobs which are classified into single person, people in a group and other objects by the dynamic periodicity analysis. The tracking module uses mean shift algorithm to locate the target position. The system aims to control the human density in the surveilled scene and detect what happens abnormally. The major advantage of this system is the real-time capability and it only requires a video stream without other additional sensors. We evaluate the system in the real application, for example monitoring the subway entrance and the building hall, and the results prove the system's superior performance.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1386-1394
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• 2016

Pyramid fusion usually adjusts the Laplacian weights of pixels of the input images by evaluating predefined criteria. This has advantages that it can selectively express intense color and enhance the contrast when applied to HDR exposure fusion. But it may cause noise because the weights are determined by pixel importance without considering the interdependent pixel relationship that constitutes a scene. This paper proposes a fusion method using simple weight criteria generated from the gray pixel values, which is expected to preserve the interdependent relationship and improve execution speed. In order to evaluate the performance of the proposed method we examine a homogeneity measure, H and compare the execution time for both methods. The proposed method is found to be more advantageous with respect to homogeneity and execution speed.

• 대한원격탐사학회지
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• 제22권5호
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• pp.351-356
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• 2006

Based on current practical needs for geo-spatial information on mobile platform, the main theme of this study is a design and implementation of dynamic 3D terrain rendering system using spaceborne imagery, as a kind of texture image for photo-realistic 3D scene generation on mobile environment. Image processing and 3D graphic techniques and algorithms, such as TIN-based vertex generation with regular spacing elevation data for generating 3D terrain surface, image tiling and image-vertex texturing in order to resolve limited resource of mobile devices, were applied and implemented by using graphic pipeline of OpenGL|ES (Embedded System) API. Through this implementation and its tested results with actual data sets of DEM and satellite imagery, we demonstrated the realizable possibility and adaptation of complex typed and large sized 3D geo-spatial information in mobile devices. This prototype system can be used to mobile 3D applications with DEM and satellite imagery in near future.