• 대한전자공학회논문지
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• 제25권7호
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• pp.807-818
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• 1988

This paper proposes new algorithms for the estimation of displacement vector and moving object extraction using difference picture. First, the relations between the boundary of moving objects in two consecutive image and the boundary of difference picture regions are analyzed, then displacement vector estimation algorithm is proposed. Using the estimated displacement vector, moving objects are directly extracted from difference picture. Since the proposed algorithms do not process gray-valued image, they have a short processing time and are suitable to real time processing. From the experimental results, we observed that, if difference picture is wel extracted, the proposecd algorithms work well even in the circumstances of complex background, fast or slow motion, rotation etc., including occlusion where is not moving area.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1986년도 추계학술발표회 논문집
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• pp.182-185
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• 1986

In this paper, the four algorithm which obtain 2D displacement vector are proposed. In corwocutive difference pictures, the characteristics of up DP boundary and region are discussed and we estimate displacement vector using the DP boundary and region, Finally, the performance of proposed algorithm for gaussian noisy image which generated by computer are discussed.

• Structural Engineering and Mechanics
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• 제63권2호
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• pp.251-257
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• 2017

A local damage identification method using measured structural static displacement is proposed in this study. Based on the residual force vector deduced from the static equilibrium equation, residual strain energy (RSE) is introduced, which can localize the damage in the element level. In the case of all the nodal displacements are used, the RSE can localize the true location of damage, while incomplete displacement measurements are used, some suspicious damaged elements can be found. A model updating method based on static displacement response sensitivity analysis is further utilized for accurate identification of damage location and extent. The proposed method is verified by two numerical examples. The results indicate that the proposed method is efficient for damage identification. The advantage of the proposed method is that only limited static displacement measurements are needed in the identification, thus it is easy for engineering application.

• Journal of information and communication convergence engineering
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• 제8권4호
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• pp.349-354
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• 2010

Moving pixel displacement detection algorithm using correlation functions for making panorama image on the continuous images is presented in this paper. The input images get from a CMOS image sensor (CIS). The camera is maintained by constant brightness and uniform sensing area in test input pattern. For simple navigation and capture image has to 70% overlapped region. A correlation rate in two image data is evaluated by using reference image with first captures, and compare image with next captures. The displacement of the two images are expressed to second order function of x, y and solved with finding the coefficient in second order function. That results in the change in the peak correlation displacement from the reference to the compare image, is moving to pixel length. The navigating error is reduced by varying the path because the error is shown in the difference of the positioning vector between the true pixel position and the navigated pixel position. The algorithm performance is evaluated to be different from the error vector to vary the navigating path grid.

• 한국콘텐츠학회논문지
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• 제7권12호
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• pp.322-332
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• 2007

프랙탈의 특성에 알맞은 변형 방법을 고려하였다. IFS 프랙탈에서 점의 위치 특성은 공간적 좌표뿐만 아니라 코드에 의해서도 표현된다. 코드는 프랙탈 내에서의 점의 주소로 볼 수 있는데, 코드값을 바꾸어 생기는 점의 이동에 프랙탈적 특성이 있으므로, 코드의 정보를 이용한 세 가지 변형 방법을 제안하였다. 즉, 한점의 이동에 사용될 벡터로서 1) 코드 변환을 통해 얻어지는 다른 점에서의 벡터장 값을 이용하는 방법과 2) 코드 정보를 활용하여 변위 벡터를 정하는 방법을 구현하여 본 결과, 연속적 변형의 특징과 프랙탈적 특징을 모두 갖는 변형을 얻을 수 있었다. 또한 3) 변형이 가해질 영역을 코드를 활용하여 제한함으로써, 고사리의 경우, 보다 자연물에 적합한 변형을 얻을 수 있었다.

• 제어로봇시스템학회논문지
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• 제16권3호
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• pp.269-276
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• 2010

In this paper, we present the detection method of moving objects based on two background models. These background models support to understand multi layered environment belonged in images taken by shaking camera and each model is MBM(Multiple Background Model) and TMBM (Temporal Median Background Model). Because two background models are Pixel-based model, it must have noise by camera movement. Therefore correlation coefficient calculates the similarity between consecutive images and measures camera motion vector which indicates camera movement. For the calculation of correlation coefficient, we choose the selected region and searching area in the current and previous image respectively then we have a displacement vector by the correlation process. Every selected region must have its own displacement vector therefore the global maximum of a histogram of displacement vectors is the camera motion vector between consecutive images. The MBM classifies the intensity distribution of each pixel continuously related by camera motion vector to the multi clusters. However, MBM has weak sensitivity for temporal intensity variation thus we use TMBM to support the weakness of system. In the video-based experiment, we verify the presented algorithm needs around 49(ms) to generate two background models and detect moving objects.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2003년도 춘계학술대회논문집
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• pp.156-159
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• 2003

Surface normal vector and surface velocity are very important parameters to simulate rolling processes precisely. In this study, Local displacement functions are constructed for each node on the contact surface and parameters are found by the least square fitting of displacement on the neighbor nodes. Deformation gradient tensor is calculated from the displacement function and surface normal vector and velocity also can be derived. Flat rolling simulation model is presented on the basis of the suggested contact scheme. Series of rolling process simulation are carried out and the results are compared with the experiments.

• 대한기계학회논문집A
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• 제27권9호
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• pp.1477-1485
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• 2003

The displacement vector field can be represented in terms of a scalar potential ${\phi}$ and a vector potential ${\phi}$. The scalar potential ${\phi}$ is related to dilatational waves and the vector potential ${\phi}$ is related to rotational waves. Using these two complex displacement potentials, the stress and displacement fields for steadily growing interface cracks in dissimilar materials are obtained. The energy release rate for steadily growing interface cracks in dissimilar materials are also obtained. And with photoelastic isochromatic patterns simulated by computer graphics, the stress intensity factors are discussed.

• 한국강구조학회 논문집
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• 제9권4호통권33호
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• pp.467-477
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• 1997

모달실험 기법의 강부재 손상발견 적용성에 대한 실험적 연구를 수행하였다. 단경간 및 2경간 강재보에 손상을 모사한 단계적인 절단을 가하면서 모달실험을 반복하고, 손상 정도에 따른 모달 파라미터의 변화를 관찰하였으며, 실험 결과를 검증할 목적으로 수치해석을 병행하였다. 고려한 모달 파라미터는 고유진동수(Frequency), 변위 모드형상(Displacement Mode Shape), 변형률 모드형상(Strain Mode Shape)이며, 이들 모달 파라미터를 구하기 위하여 가속도계와 변형률계를 사용한 모달실험을 실시하였다. 각각의 손상단계에서 손상에 의한 변위 모드형상과 변형률 모드형상의 변화를 위치에 대해 정량적으로 나타내기 위하여, CoMAC과 Modal Vector Error를 사용하였다. 고유진동수는 손상의 정도가 심해짐에 따라 감소하는 경향을 보였으며, 손상의 위치를 발견하는 데에 가장 효과적으로 사용될 수 있는 것은 변형률 모드형상이었다.

• 한국멀티미디어학회논문지
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• 제17권8호
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• pp.937-945
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• 2014

Multi-modal biometric system can use another biometric trait in the case of having deficiency at a biometric trait. It also has an advantage of improving the performance of personal identification by using multiple biometric traits, so studies on new biometric traits have continuously been performed. The inner face of finger is a relatively new biometric trait. It has two major features of knuckle lines and wrinkles, which can be used as discriminative features. This paper proposes a finger identification method based on displacement vector to effectively process some variation appeared in contactless hand image. At first, the proposed method produces displacement vectors, which are made by connecting corresponding points acquired by matching each pair of local block. It then recognize finger by measuring the similarity among all the detected displacement vectors. The experimental results using pubic CASIA hand image database show that the proposed method may be effectively applied to personal identification.