• 제목/요약/키워드: distance transform

검색결과 432건 처리시간 0.029초

모바일 디바이스 기반의 멀티 모달 사용자 거리 추정 시스템 (Multi-Modal User Distance Estimation System based on Mobile Device)

  • 오병훈;홍광석
    • 한국인터넷방송통신학회논문지
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    • 제14권2호
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    • pp.65-71
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    • 2014
  • 본 논문에서는 모바일 디바이스에 기본적으로 제공되는 모노 카메라와 모노 마이크의 멀티 모달 입력을 통하여 사용자와 모바일 디바이스간의 거리를 추정하는 방법을 제안한다. 영상을 이용한 거리 추정은 모노 카메라로 입력되는 영상에서 피부색 영역을 추출하고, 노이즈를 제거한 후에 얼굴 영역 및 눈 영역을 검출하여 사용자의 거리를 추정한다. 음성을 이용한 거리 추정은 모노 마이크로 입력되는 음성으로부터 가장 큰 피크(Peak)를 선정하고, ROI(Region of Interest)를 지정한 후에 FFT(Fast Fourier Transform)을 수행하여 주파수 축에서의 크기(Magnitude)를 계산한다. 계산된 크기 값과 거리별 크기 값의 모델을 비교하여 거리 별 우도(Likelihood)를 계산하고, 정렬한 후 가중치를 주어 더함으로써 사용자의 거리를 추정한다. 실험결과 영상 및 음성을 멀티 모달 입력으로 이용하여 거리를 추정한 결과 단일 모달로 거리를 추정한 결과 보다 향상된 결과를 얻을 수 있었다.

MRI Image Retrieval Using Wavelet with Mahalanobis Distance Measurement

  • Rajakumar, K.;Muttan, S.
    • Journal of Electrical Engineering and Technology
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    • 제8권5호
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    • pp.1188-1193
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    • 2013
  • In content based image retrieval (CBIR) system, the images are represented based upon its feature such as color, texture, shape, and spatial relationship etc. In this paper, we propose a MRI Image Retrieval using wavelet transform with mahalanobis distance measurement. Wavelet transformation can also be easily extended to 2-D (image) or 3-D (volume) data by successively applying 1-D transformation on different dimensions. The proposed algorithm has tested using wavelet transform and performance analysis have done with HH and $H^*$ elimination methods. The retrieval image is the relevance between a query image and any database image, the relevance similarity is ranked according to the closest similar measures computed by the mahalanobis distance measurement. An adaptive similarity synthesis approach based on a linear combination of individual feature level similarities are analyzed and presented in this paper. The feature weights are calculated by considering both the precision and recall rate of the top retrieved relevant images as predicted by our enhanced technique. Hence, to produce effective results the weights are dynamically updated for robust searching process. The experimental results show that the proposed algorithm is easily identifies target object and reduces the influence of background in the image and thus improves the performance of MRI image retrieval.

스테레오 비젼을 이용한 차량간 거리정보 검출 (Distance Detection between Vehicles Using Stereo Vision)

  • 양석주;백중환
    • 한국항행학회논문지
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    • 제6권1호
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    • pp.27-36
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    • 2002
  • 우리 나라의 교통 상황에서 차량 대수가 증가함에 따라 운전자들은 안정성을 위해 근거리에 존재하는 차량의 유무 검출 및 전후방 차량간의 충분한 거리 유지에 대한 깊은 관심이 꾸준하게 증가하고 있는 추세이다. 본 논문에서는 스테레오 비젼을 이용하여 전방 차량간의 거리를 검출하는 방법을 제시한다. 다중 해상도 특성을 가진 변형된 웨이블릿을 이용하여 차량의 경계선을 구한 다음 coarse to fine 방법과 히스토그램 매칭을 이용하여 좌우 영상간의 시차를 구한다. 여기서 좌우 스테레오 영상의 원해상도를 유지하기 위하여 변형된 웨이블릿으로 3단계 변환한다. 실험 결과 3~18m의 차량간 거리 내에서 전체 거리 오차율 4.65%를 보였다.

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Accelerating Distance Transform Image based Hand Detection using CPU-GPU Heterogeneous Computing

  • Yi, Zhaohua;Hu, Xiaoqi;Kim, Eung Kyeu;Kim, Kyung Ki;Jang, Byunghyun
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제16권5호
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    • pp.557-563
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    • 2016
  • Most of the existing hand detection methods rely on the contour shape of hand after skin color segmentation. Such contour shape based computations, however, are not only susceptible to noise and other skin color segments but also inherently sequential and difficult to efficiently parallelize. In this paper, we implement and accelerate our in-house distance image based approach using CPU-GPU heterogeneous computing. Using emerging CPU-GPU heterogeneous computing technology, we achieved 5.0 times speed-up for $320{\times}240$ images, and 17.5 times for $640{\times}480$ images and our experiment demonstrates that our proposed distance image based hand detection is robust and fast, reaching up to 97.32% palm detection rate, 80.4% of which have more than 3 fingers detected on commodity processors.

웨이브렛 변환을 이용한 혼합송전계통에서의 디지털 거리계전 알고리즘에 관한 연구 (A Study on the Digital Distance Relaying Algorithm Using Wavelet Transform in Combined Transmission Line with Underground Power Gables)

  • 정채균;홍동석;이종범
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 추계학술대회 논문집 전력기술부문
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    • pp.383-386
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    • 2001
  • Distance relay is tripped by the line impedance calculated at the relay point. Accordingly the accurate operation depends on the precise calculation of line impedance. Impedance can be accurately calculated in case of overhead line. However, in case of power cables or combined transmission lines, impedance can not be accurately calculated because cable systems have the sheath, grounding wires, and cable cover protection units (CCPUs). There are also several grounding systems in cable systems. Therefore, if there is a fault in cable system, these terms will severely be caused much error to calculation of impedance. Accordingly the proper compensation should be developed for the correct operation of the distance relay. This paper presents the distance calculating algorithm in combined transmission line with power cable using wavelet transform. In order to achieve such purpose, judgement method to discriminate the fault section in both sections was proposed using db1 coefficient summation. And also, error compensation factor was proposed for correct calculation of impedance in power cable.

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Context-free Marker-controlled Watershed Transform for Over-segmentation Reduction

  • Seo, Kyung-Seok;Cho, Sang-Hyun;Park, Chang-Joon;Park, Heung-Moon
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.482-485
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    • 2000
  • A modified watershed transform is proposed which is context-free marker-controlled and minima imposition-free to reduce the over-segmentation and to speedup the transform. In contrast to the conventional methods in which a priori knowledge, such as flat zones, zones of homogeneous texture, and morphological distance, is required for marker extraction, context-free marker extraction is proposed by using the attention operator based on the GST (generalized symmetry transform). By using the context-free marker, the proposed watershed transform exploit marker-constrained labeling to speedup the computation and to reduce the over-segmentation by eliminating the unnecessary geodesic reconstruction such as the minima imposition and thereby eliminating the necessity of the post-processing of region merging. The simulation results show that the proposed method can extract context-free markers inside the objects from the complex background that includes multiple objects and efficiently reduces over-segmentation and computation time.

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DC제거용 FIR필터가 거리계전기에 미치는 영향 분석 (The Influence of a FIR Filter on Distance Relaying Algorithm)

  • 오예준;장준;박진규;김수환;강상희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 제40회 하계학술대회
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    • pp.2195_2196
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    • 2009
  • DC-offset is a very important subject in power systems protection, since DC-offset causes mal-operation of the distance relay. This paper deals with the influence of a FIR filter used for removing the DC-offset upon the convergence characteristics of distance relaying algorithm based on Fourier Transform.

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칼만필터링에 의한 디지털 거리계전 기법에 관한 연구 (A Study on the Digital Distance Relaying Techniques Using Kalman Filtering)

  • 김철환;박남옥;신명철
    • 대한전기학회논문지
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    • 제41권3호
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    • pp.219-226
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    • 1992
  • In this study, Kalman filtering theory is applied to the estimation of symmetrical components from fault voltage and current signal when it comes to faults with the power system. An algorithm for estimating fault location accurately and quickly by calculating the symmetrical components from the extracted fundamental voltage phasor and current phasor is presented. Also, to confirm the validity of digital distance relaying techniques using Kalman filtering, the experimental results obtained by using the digital simulation of power system is shown.

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Wiener-Hopf Technique와 Fourier Transform Analysis를 이용한 병렬 슬릿의 TE파 산란 해석 (Analysis of TE-Wave Scattering from Transversal-Shifted Tandem Slits Using Wiener-Hopf Techniques and Fourier Transform Analysis)

  • 서태윤;안성환;이재욱;조춘식
    • 한국전자파학회논문지
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    • 제19권9호
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    • pp.968-977
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    • 2008
  • 본 논문에서는 Fourier-transform analysis와 Wiener-Hopf technique을 사용하여 병렬 슬릿에 의한 TE파 산란의 완전한 표현식을 유도하고 두 방법의 특징을 비교하고자 한다. Fourier transform analysis는 슬릿의 폭이 좁은 경우에는 빠른 수렴해를 얻을 수 있으며, Wiener-Hopf technique은 슬릿의 폭이 넓을 경우(상호 유도 결합이 적은 경우)에 매우 정확한 근사식 결과를 나타내며, 위의 두 해석 결과는 비교적 일치하는 결과들을 보여준다.

기어의 이상검지 및 진단에 관한 연구 -Wavelet Transform해석과 KDI의 비교- (A Study on Fault Detection and Diagnosis of Gear Damages - A Comparison between Wavelet Transform Analysis and Kullback Discrimination Information -)

  • 김태구;김광일
    • 한국안전학회지
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    • 제15권2호
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    • pp.1-7
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    • 2000
  • This paper presents the approach involving fault detection and diagnosis of gears using pattern recognition and Wavelet transform. It describes result of the comparison between KDI (Kullback Discrimination Information) with the nearest neighbor classification rule as one of pattern recognition methods and Wavelet transform to know a way to detect and diagnosis of gear damages experimentally. To model the damages 1) Normal (no defect), 2) one tooth is worn out, 3) All teeth faces are worn out 4) One tooth is broken. The vibration sensor was attached on the bearing housing. This produced the total time history data that is 20 pieces of each condition. We chose the standard data and measure distance between standard and tested data. In Wavelet transform analysis method, the time series data of magnitude in specified frequency (rotary and mesh frequency) were earned. As a result, the monitoring system using Wavelet transform method and KDI with nearest neighbor classification rule successfully detected and classified the damages from the experimental data.

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