• Title/Summary/Keyword: Edge estimation

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Design of Personalized Exercise Data Collection System based on Edge Computing

  • Jung, Hyon-Chel;Choi, Duk-Kyu;Park, Myeong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.5
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    • pp.61-68
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    • 2021
  • In this paper, we propose an edge computing-based exercise data collection device that can be provided for exercise rehabilitation services. In the existing cloud computing method, when the number of users increases, the throughput of the data center increases, causing a lot of delay. In this paper, we design and implement a device that measures and estimates the position of keypoints of body joints for movement information collected by a 3D camera from the user's side using edge computing and transmits them to the server. This can build a seamless information collection environment without load on the cloud system. The results of this study can be utilized in a personalized rehabilitation exercise coaching system through IoT and edge computing technologies for various users who want exercise rehabilitation.

Vision-based Vehicle Detection and Inter-Vehicle Distance Estimation (영상 기반의 차량 검출 및 차간 거리 추정 방법)

  • Kim, Gi-Seok;Cho, Jae-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.3
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    • pp.1-9
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    • 2012
  • In this paper, we propose a vision-based robust vehicle detection and inter-vehicle distance estimation algorithm for driving assistance system. We use the haar-like features of car rear-shadows, as well as the edge features for detecting of vehicles. The use of additional vehicle edge features greatly reduces the false-positive errors in the vehicle detection. And, after analyzing the conventional two inter-vehicle distance estimation methods: the location-based and the vehicle width-based, an improved inter-vehicle distance estimation algorithm which has the advantage of both method is proposed. Several experimental results show the effectiveness of the proposed method.

Edge-Directional Joint Disparity-Motion Estimation of Stereoscopic Sequences (경계 방향성을 고려한 스테레오 동영상의 움직임-변이 동시추정 기법)

  • 김용태;서형갑;박창섭;이재호;손광훈
    • Journal of Broadcast Engineering
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    • v.9 no.3
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    • pp.196-206
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    • 2004
  • This paper presents an efficient joint disparity-motion estimation algorithm for stereo sequence CODEC. Disparity vectors are estimated by the left and right motion vectors and previous disparity vectors for every frame. In order to obtain more accurate disparity vectors. we include a spatial prediction Process after the feint estimation. From joint estimation and spatial prediction, we can obtain accurate disparity vectors and then Increase coding efficiency. Finally, we proposed the backward quadtree decomposition. which helps the encoder to have a more detailed disparity vector map without transmitting additional coding bits for quadtree information. We confirmed superior performance of the proposed method through computer simulation.

Efficient Single Image Dehazing by Pixel-based JBDCP and Low Complexity Transmission Estimation (저 복잡도 전달량 추정 및 픽셀 기반 JBDCP에 의한 효율적인 단일 영상 안개 제거 방법)

  • Kim, Jong-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.5
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    • pp.977-984
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    • 2019
  • This paper proposes a single image dehazing that utilizes the transmission estimation with low complexity and the pixel-based JBDCP (Joint Bright and Dark Channel Prior) for the effective application of hazy outdoor images. The conventional transmission estimation includes the refinement process with high computational complexity and memory requirements. We propose the transmission estimation using combination of pixel- and block-based dark channel information and it significantly reduces the complexity while preserving the edge information accurately. Moreover, it is possible to estimate the transmission reflecting the image characteristics, by obtaining a different air-light for each pixel position of the image using the pixel-based JBDCP. Experimental results on various hazy images illustrate that the proposed method exhibits excellent dehazing performance with low complexity compared to the conventional methods; thus, it can be applied in various fields including real-time devices.

Uniformity estimation mathod and application of thin film in Coating lenses (Coating 렌즈에서 박막의 균일성 평가 방법 및 적용)

  • Kim, Yong Geun;Park, Sang-An
    • Journal of Korean Ophthalmic Optics Society
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    • v.7 no.2
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    • pp.175-180
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    • 2002
  • Use spctrophotometer to estimate thin film uniformity of lens, Compare, and analyze thin film uniformity availability selecting two peaks of Reflectance(R%) measuring on spectrum. Wavelength dependence's Reflectance in position of center, middle and edge of lens etc... obtain thin film's thickness (t) from Wavelength region (${\lambda}_1,{\lambda}_2$) of two peaks of Reflectance. $$t=\frac{1}{2(n^2-\sin^2{\theta})^{1/2}}{\times}\frac{{\lambda}_1{\lambda}_2}{{\lambda}_2-{\lambda}_1}$$ If Reflectance pattern is uniformity value in position of center middle of lens, edge etc... thin film has uniformity. Applied thin film uniformity estimation method to 1st layer $MgF_2$(n=1.38) coating lens. It was about thin film's thickness difference 360nm. Can analyze coating lens' thin film uniformity easily from Reflectance relationship measurement about Wavelength dependence.

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Multi-Frame-Based Super Resolution Algorithm by Using Motion Vector Normalization and Edge Pattern Analysis (움직임 벡터의 정규화 및 에지의 패턴 분석을 이용한 복수 영상 기반 초해상도 영상 생성 기법)

  • Kwon, Soon-Chan;Yoo, Jisang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.2
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    • pp.164-173
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    • 2013
  • In this paper, we propose multi-frame based super resolution algorithm by using motion vector normalization and edge pattern analysis. Existing algorithms have constraints of sub-pixel motion and global translation between frames. Thus, applying of algorithms is limited. And single-frame based super resolution algorithm by using discrete wavelet transform which robust to these problems is proposed but it has another problem that quantity of information for interpolation is limited. To solve these problems, we propose motion vector normalization and edge pattern analysis for 2*2 block motion estimation. The experimental results show that the proposed algorithm has better performance than other conventional algorithms.

A robust center estimation of the circular parts based on the weighted circle chords (가중치가 부가된 현들을 이용한 원형부품 중심위치의 강건한 추정)

  • 성효경;최흥문
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.10
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    • pp.51-58
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    • 1997
  • In this paper, a technique ot estimate center positions of the circular parts under noisy condition is presented. The circle chords are segmented from the circle with successively varying angle and weighted to reduce the center estimation errors effected by the orientations of the circle chords. The weighting factors for variable length chords are adaptively detemined according to the error contribution of each chord in center estimation. Robust estimation of the center positions of the circular parts are possible even though the edge informations are partially contaminated by the non-uniform lighting or the background textures. Computer simulations for several images which are obtained for same object under real environment y camera, show that the proposed techniqeu yields 1.85 and 2.77 of estimated error-distribution for center position and radius in mean square error, that the proposed has more robust estimation than those of the conventional methods.

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Estimation of Density via Local Polynomial Tegression

  • Park, B. U.;Kim, W. C.;J. Huh;J. W. Jeon
    • Journal of the Korean Statistical Society
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    • v.27 no.1
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    • pp.91-100
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    • 1998
  • A method of estimating probability density using regression tools is presented here. It is based on equal-length binning and locally weighted approximate likelihood for bin counts. The method is particularly useful for densities with bounded supports, where it automatically corrects edge effects without using boundary kernels.

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Hybrid Noise Reduction Algorithm Using Wavelet Transform (웨이블릿 변환을 이용한 하이브리드 방식의 잡음 제거 알고리즘)

  • Seo, Young-Ho;Kim, Dong-Wook
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.367-368
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    • 2007
  • In this paper, we propose a new de-noising algorithm for 2 dimensional image using discrete wavelet transform. The proposed algorithm consists of edge detection in spatial domain, zero-tree estimation, subband estimation, and shrinkage algorithm. The results from it shows that the denoised image which Is damaged by 20% gaussian noise has 28dB quality for the original one.

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A Study on the Fatigue Strength of the Welds of Membrane Type LNG Tank (멤브레인 방식 LNG탱크 용접부의 피로강도에 관한 연구)

  • 김종호
    • Journal of Advanced Marine Engineering and Technology
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    • v.21 no.5
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    • pp.542-548
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    • 1997
  • In this study an evaluation method of fatigue strength of membrane type LNG tank is presented with FEM analysis and experimental approach of seam and raised edge welds. The study contains the following : l)FEM analysis of test specimens 2)Fatigue tests of seam and raised edge welds 3)Estimation of cumulative damage factor of the welds on the basis of safe life design concept complying with the rules of classification society 4)Review of the effect of mean stress on the fatigue strength 5)Modelling of fatigue life of the welds which is changeable by weld heights With the results obtained in this study, a model ${\Delta}{\delta}/h^2=0.13553\;{N_{f}}^{-0.3151}$ for seam and raised edge welds having a given weld height is proposed to be useful for designers and inspectors.

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