• Title/Summary/Keyword: Moving image

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Area Classification, Identification and Tracking for Multiple Moving Objects with the Similar Colors (유사한 색상을 지닌 다수의 이동 물체 영역 분류 및 식별과 추적)

  • Lee, Jung Sik;Joo, Yung Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.3
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    • pp.477-486
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    • 2016
  • This paper presents the area classification, identification, and tracking for multiple moving objects with the similar colors. To do this, first, we use the GMM(Gaussian Mixture Model)-based background modeling method to detect the moving objects. Second, we propose the use of the binary and morphology of image in order to eliminate the shadow and noise in case of detection of the moving object. Third, we recognize ROI(region of interest) of the moving object through labeling method. And, we propose the area classification method to remove the background from the detected moving objects and the novel method for identifying the classified moving area. Also, we propose the method for tracking the identified moving object using Kalman filter. To the end, we propose the effective tracking method when detecting the multiple objects with the similar colors. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

A Moving Object Tracking System from a Moving Camera by Integration of Motion Estimation and Double Difference (BBME와 DD를 통합한 움직이는 카메라로부터의 이동물체 추적 시스템)

  • 설성욱;송진기;장지혜;이철헌;남기곤
    • Journal of KIISE:Software and Applications
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    • v.31 no.2
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    • pp.173-181
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    • 2004
  • In this paper, we propose a system for automatic moving object detection and tracking in sequence images acquired from a moving camera. The proposed algorithm consists of moving object detection and its tracking. Moving object can be detected by integration of BBME and DD method We segment the detected object using histogram back projection, match it using histogram intersection, extract and track it using XY-projection. Computer simulation results have shown that the proposed algorithm is reliable and can successfully detect and track a moving object on image sequences obtained by a moving camera.

A Motion Adaptive Multi-Frame Interpolation Algorithm (움직임 적응형 멀티프레임 보간 알고리즘)

  • 김희철;채종석;최철호;권병헌;최명렬
    • Proceedings of the IEEK Conference
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    • 2000.06d
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    • pp.54-57
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    • 2000
  • In this paper, we propose a new interpolation method by using the motion between two moving image frames. In the proposed method, the movement is detected by using neighborhood pixels of target pixel in the past frame and the present frame. Then, H-shaped pseudomedian filter (below HPMED) is used for the still part of the image and Delta-shaped interpolation filter (below $\Delta$-shaped) for used in the moving part of the image. We detect the movement by comparing the differences between pixels in 4${\times}$5 window of the past frame and the present frame; the difference has a critical value. We simultaneously accomplish checking PSNR(peak signal noise ratio) and subjective assessment that is placed the focus on edge characteristic for assessment of result in computer simulation. The results show that the proposed adaptive method is better than the conventional methods.

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Fabrication of Real-Time Hologram for the Implementation of 3-D Moving Picture (3차원 동영상을 구현하기 위한 실시간 홀로그램의 제작)

  • 박세준;배장근김수중
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.977-980
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    • 1998
  • A real-time holography system using LCD with CCD camera is proposed. In this system, the rainbow hologram is used since it can be reconstructed by white light source. And to record on CCD camera, a kind of in-line holography method is used to widen the width of the fringe pattern. The interference fringe pattern by proposed system is detected with CCD camera and transferred to the LCD A 3-dimensional image is reconstructed when a white light source illuminates the LCD. So it can represent 3 dimensional moving images at real-time. In this paper, to confirm the usefulness of the proposed method, the reconstructed image by holographic film is compared to the same reconstruct image by LCD. In the recording of the interferenced processing, the optimal ratio of the reference and object beam intenstiy is also investigated.

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The Detection of moving object by real time processing of dynamic image. (동영상 실시간 처리에 의한 이동물체 검출)

  • Kim, Y.H.;Lee, M.K.;Lee, J.S.;Choi, K.S.
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1383-1386
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    • 1987
  • This paper concerns, the method for velocity of dynamic Image on two dimensional sequence Image which can be obtained from two sample lines on the street. The velocity of a single moving object Is measured by the number of total frame which Is required when an automobile passes over the second sample line through the first sample line. The measured results show that the velocity error Is less than 5% comparing with the value measured by X-band speed gun.

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Morphological Anaylsis of Wear Debris for Lubricated Moving Machine Surfaces by Image Processing (화상처리에 의한 기계윤활 운동면의 마멸분 형태해석)

  • 박흥식;전태옥;서영백;김형자
    • Tribology and Lubricants
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    • v.12 no.3
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    • pp.72-78
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    • 1996
  • This paper was undertaken to analyze the morphology of wear debris generated from lubricated moving machine surfaces by image processing. The lubricati, ng wear test was performed under different experimental conditions using the wear test device made in our laboratory and wear test specimen of the pin on disk type wear rubbed in paraffme series base oil, by varying applied load, sliding distance. The four parameters (50% volumetric diameter, aspect, roundness and reflectivity) to describe the morphology have been developed and outlined in the paper. A system using such techniques promises to obviate the need for subjective, human interpretation of particle morphology in machine condition monitoring, thus to overcome many of the difficulties with current methods and to facilitate wider use of wear particle analysis in machine condition monitoring.

Adaptive Thresholding Method for Edge Detection (윤곽선 검출을 위한 적응적 임계치 결정 방법)

  • 임강모;신창훈;조남형;이주신
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.05a
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    • pp.352-355
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    • 2000
  • In this paper, we propose an adaptive thresholding for edge detection. first, we got histograms for background image and image with moving object, respectively. Then we make difference histogram between histograms of background and object image. A thresholding value is decided using gradient of peak to peak in the difference histogram. The experimentation is processed using a moving car in the road. The result is that edge is detected well regardless of the brightness.

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System Design and Control of an Autonomous Stair Climbing Robot

  • Kim, Dong-Hwan;Hong, Young-Ho;Kim, Sangsu;Jwa, Geun-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.104.3-104
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    • 2002
  • A quadruped stair robot introduced here plays a role in monitoring and moving some place where an operator can not reach or when he may not keep watching. It has several features that travels and poses variable position by four caterpillars and quadruped typed arms, transmits an image and command data via RF wireless and network communication. The robot can balance itself when it moves up and down on a slope by using the quadruped mechanism. The robot vision scans ahead before it moves, and the captured image is transferred to a main computer via a RF image module. The main computer analyzes the obstacle, and when it is found the obstacle, the robot avoids from the obstacle and keep moving f...

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A Study on the Behavior Characteristics of TGL Vortex (Taylor-G$\ddot{o}$rtler-Like(TGL)와의 거동특성에 관한 연구)

  • 이영호;김춘식;조대환;최장운
    • Journal of Advanced Marine Engineering and Technology
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    • v.17 no.4
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    • pp.28-37
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    • 1993
  • Flow characteristics within the three-dimensional square cavity are studied experimentally by adopting PIV(Particle Image Velocimetry). A new method for tracking the same particle pairs in the consecutive flow image is suggested resulting in more effective acquisition of the velocity vectors. Two methods for supplying the shearing stress within the cavity are developed by continuous moving belt and 2-dimensional plane Poiseuille flow. The effect of TGL vortex in the case of belt-moving flow is remarkable owing to the distribution of the kinetic energy in the spanwise direction. But, for the plane Poiseuille flow, velocity profiles similar to a forced vortex are obtained and its tendency increases with the Reynolds number.

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Application of Neural Network to Prediction and estimation of Rolling Condition for Hydraulic members (유압구동부재의 구름운동상태 예지 및 판정을 위한 신경 회로망의 적용)

  • 조연상;김동호;박흥식;전태옥
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.646-649
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    • 2002
  • It can be effect on diagnosis of hydraulic machining system to analyze working conditions with shape characteristics of wear debris in a lubricated machine. But, in order to predict and estimate working conditions, it is need to analyze the shape characteristics of wear debris and to identify. Therefor, if shape characteristics of wear debris is identified by computer image analysis and the neural network, it is possible to find the cause and effect of moving condition. In this study, wear debris in the lubricant oil are extracted by membrane filter, and the quantitative value of shape characteristics of wear debris we calculated by the digital image processing. This morphological informations are studied and identified by the artificial neural network. The purpose of this study is In apply morphological characteristics of wear debris to prediction and estimation of working condition in hydraulic driving systems.

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