• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.81-86
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• 2003

In this paper, we propose the tracking method of moving object which use extracted object by difference between background image and target image in fixed domain. As a extraction method of object, calculate not pixel of full image but predefined some edge pixel of image to get a position of new object. Since the center area Is excluded from calculation, the extraction time is efficiently reduced. To extract object in the predefined area, get a starting point in advance and then extract size of width and height of object. Central coordinate is used to track moved object.

• Communications of Mathematical Education
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• v.32 no.4
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• pp.495-517
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• 2018

This paper is based on the effects of Zone of Proximal Development and scaffolding theory of social constructivist, Russian psychologist Vygotsky. He insisted that a social interaction play a fundamental role in the development of cognition. This study is to examine the efficient of the scaffolding types in Math class. The ZPD is the distance between a student's ability to perform a task under adult guidances or with peer collaboration and the student's ability solving the problem independently. To conduct the research was grouped into an experimental first grader five students in H high school in Y county. After class, students were questioned through Semi-structured interviews. The results of this study are below. First, Students were satisfied with the class mixed micro-scaffolding types and Macro-scaffolding types and improved their math thinking ability and the ways of solving problems. Second, The results of the class showed that students' ability to perform a task was transferred to the higher level through the help of a teacher or peers. Students could have more time to listen to peers' opinions and to say their own thoughts freely than they were under the lecture method instruction. Third, Students were interested in math through the experimental class. That's because the appropriate help of the scaffolding type, a cooperate study, relative with real life, using an engineering tools. They made a change of perception.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.19-30
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• 2009

Recent development in wireless communication technology and mobile equipment like PDA, cellular phone and GPS makes location-based services (LBSs) popular. However, because, in the LBSs, users continuously request a query to LBS servers by using their exact locations, privacy information could be in danger. Therefore, a mechanism for users' privacy protection is required for the safe and comfortable use of LBSs by mobile users. For this, this paper propose a grid-based cloaking area creation scheme supporting continuous LBSs. The proposed scheme creates a cloaking area rapidly by using grid-based cell expansion to efficiently support the continuous LBSs. In addition, to generate a cloaking area which makes the exposure probability of a mobile user to a minimum, we compute a privacy protection degree by granting weights to mobile users. Finally, we show from a performance analysis that our cloaking scheme outperforms the existing cloaking schemes, in terms of service time, privacy protection degree.

• Environmental and Resource Economics Review
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• v.22 no.1
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• pp.147-177
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• 2013

Annual total values and thereby assets values of natural resources are determined by sample household WTP estimates and the extent of market. In the current domestic practice of CVM, total numbers of national households were used as the target population to measure total economic values including non-use values. This study proposed an alternative method of calculating potential user groups based on distributions of residential area of visitors in the sample using 4 provincial parks in the Chon Buk area as cases. The sample mean of WTP of Moak Mt. visitors, who are mostly from the nearby Chon Buk provincial area, was estimated to be about 8,215 won. On the other hand, the mean of WTP of Sun Woon Mt., whose visitors are evenly distributed from all over the country, was about 4,693 won. When applied national households as the target population, annual total benefits and thereby asset values of Moak Mt. was high enough to be 86 billion and 1.6 trillion won respectively. However, those of Sun Woon Mt. was low to be 52 billion and 1 trillion. On the contrary, when applied potential user groups of each park as the extent of market, annual total benefits and asset values of Sun Woon Mt. was reversed to be high--23 billion won and 400 billion won respectively. However, those of Moak Mt. was lowered to be 10 billion won and 200 billion won. Furthermore, asset values of the same park were differed by 2 to 8 times according to the way of setting the extent of market.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.655-657
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• 2002

본 논문에서는 스테레오 영상에서 두 영상간의 깊이(Depth) 정보를 이용해서 영역을 기반으로 한 영상매칭을 수행한 추 사람의 얼굴 영역을 결정한다 영역 결정은 설정된 탐색 윈도우에 의해 좌, 우 영상간의 MSE(Minimum Square Error)를 검색하는 알고리즘을 제안한다. 매칭 과정에서 발생하는 영역 오류를 보정하기 위해서 타원 마스크를 이용하는 방법을 제안하며 실행 시간을 줄이기 위하여 2D 도메인에서 쿼드트리(Quad-tree) 윈도우를 사용한다.

• 한국ITS학회:학술대회논문집
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• 2002.11a
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• pp.210-213
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• 2002

차량 대기열 측정에 관한 연구는 효과적인 교통 통제를 위해서 필수적인 요소이다. 이를 위해 본 논문에서는 영역기반 영상처리를 이용한 차량 대기열 분석에 관한 방법을 제안한다. 도로 영상에서 영역을 설정하고 각 영역에서의 차량 검출방법을 통하여 차량 대기열의 길이를 계산하였다. 이때 차량의 검출은 영역 처리를 이용하였고 대기열 측정은 검출된 차량의 최종단 위치를 파악하여 계산하였다. 이러한 방법은 차량 통행량 분석에 이용하여 능동적 교통 신호 체계에 응용될 수 있다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.291-294
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• 2002

본 논문은 얼굴 영역 및 얼굴 구성 요소의 얼굴 특징점을 추출하는 방법을 제안한다. 얼굴 특징점은 얼굴 인식을 하는데 있어서 중요한 자료이다. 얼굴 영역은 객체 단위 추출 방법을 사용하여 얼굴의 고유 영역만을 추출한다. 얼굴의 구성요소는 각 요소간의 기하학적 정보를 이용하여 얼굴 영역 내에서 추출해 간다. 얼굴 구성요소의 특징점은 미리 정해진 위치에서 특징점을 결정한다. 그리고 이런 특징점간의 상호 연관관계를 설정한다.

• Annual Conference of KIPS
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• 2008.05a
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• pp.156-159
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• 2008

동영상 컨텐츠에 가시적 혹은 비가시적으로 정보를 삽입하는 기술을 동영상 워터마킹이라고 한다. 기하학적인 공격에 강인하도록 설계하기 위하여 특징점 기반의 워터마킹 기법을 바탕으로 하고, 동영상 특성에 맞는 움직임을 고려하여 움직임에 따른 영역을 설정하여 움직임이 많은 영역과 움직임이 적은 영역에 대해 각각 워터마크를 삽입/추출하는 시스템을 설계하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.8C
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• pp.795-802
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• 2003

It is very important to construct statistical model in order to exactly estimate the signal variance from a noisy image. In order to estimate variance, information of neighboring region is used generally. The size of neighbor region is varied according to the regional characteristics of image. More accurate estimation of edge variance is due to smaller region of neighbor, on the other hands, larger region of neighbor is used to estimate the variance of flat region. By using estimated variance of original image, in general, Wiener filter is constructed, and it is applied to the noisy image. In this paper, we propose a new method for determining the range of neighbors to estimate the variance in wavelet domain. Firstly, a significance map is constructed using the parent-child relationship of wavelet domain. Based on the number of the significant wavelet coefficients, the range of neighbors is determined and then the variance of the original signal is estimated using ML(maximum likelihood method. Experimental results show that the proposed method yields better results than conventional methods for image denoising.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.1
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• pp.7-12
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• 2011

In this paper, we propose the technique detecting interest object region effectively in the images from periscope of submarine based on self-generated template. First, we extract the sea-sky line, and divide it into sky and sea area from background region based on the sea-sky line. In each divided background region, the blocks which can be represented in each background region are set as a reference template. After dividing an image into several same size of blocks, we apply multi template matching to the divided search blocks and histogram template to divide the image into object region and background region. Proposed algorithm is adapted to various images in which objects exist in the background of sea and sky. We verified that proposed algorithm performed properly without given informmed prby prior learning.ropso, regardless of the slope of sea-sky line and the locmed p of object based on sea-sky line, we verified that the objects region was segmented effectively from the input image.