• 제목/요약/키워드: Moving Accuracy

검색결과 896건 처리시간 0.026초

동영상 내용 분석을 위한 관심 객체 추출 (Segmentation of Objects of Interest for Video Content Analysis)

  • 박소정;김민환
    • 한국멀티미디어학회논문지
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    • 제10권8호
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    • pp.967-980
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    • 2007
  • 동영상에서의 관심 객체를 추출하는 것은 비디오 내용 분석과 비디오 검색 및 압축의 성능을 개선시키는데 큰 역할을 한다. 관심 객체는 단순히 사람 눈의 시선을 끄는 대상물이 아니라 내용전개의 중심이 되거나 제작자가 표현하려고 하는 핵심 객체를 의미한다. 이러한 관심 객체는 움직이는 객체뿐만 아니라 정지해 있는 객체도 될 수 있으나, 사람의 관심을 절차적으로 표현하는 것이 어렵기 때문에 관심 객체를 명확하게 정의하기가 곤란하다. 이에, 본 논문에서는 동영상 샷에서의 움직이는 객체의 위치, 크기, 움직임 패턴의 변화에 대한 조건을 정의하여 필터링에 의해 사람의 관심을 끄는 움직임 관심 객체를 추출하는 방법을 제시하고, 아울러 동영상 샷에서 정지되어 있는 객체에 대해서도 컬러/텍스처 특이성, 위치, 크기, 출현 빈도 등에 대한 조건을 정의하여 정지 관심 객체도 추출할 수 있는 방법을 제안한다. 제안한 방법을 50개의 동영상 샷에 대하여 실험한 결과, 사람이 선정한 움직임 및 정지 관심 객체를 84% 정도 추출할 수 있음을 확인할 수 있었다.

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Velocity Estimation of Moving Targets on the Sea Surface by Azimuth Differentials of Simulated-SAR Image

  • Yang, Chang-Su;Kim, Youn-Seop;Ouchi, Kazuo
    • 대한원격탐사학회지
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    • 제26권3호
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    • pp.297-304
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    • 2010
  • Since the change in Doppler centroid according to moving targets brings alteration to the phase in azimuth differential signals of synthetic aperture radar (SAR) data, one can measure the velocity of the moving targets using this effect. In this study, we will investigate theoretically measuring the velocity of an object from azimuth differential signals by using range compressed data which is the interim outcome of treatment from the simulated SAR raw data of moving targets on the background of sea clutter. Also, it will provide evaluation for the elements that affect the estimation error of velocity from a single SAR sensor. By making RADARSAT-1 simulated image as a specific case, the research includes comparisons for the means of velocity measurement classified by the directions of movement in the four following cases. 1. A case of a single target without currents, 2. A case of a single target with tidal currents of 0.5 m/s, 1 m/s, and 3 m/s, 3. A case of two targets on a same azimuth line moving in a same direction and velocity, 4. A case of a single target contiguous to land where radar backscatter is strong. As a result, when two moving targets exist in SAR image outside the range of approximately 256 pixels, the velocity of the object can be measured with high accuracy. However, when other moving targets exist in the range of approximately 128 pixels or when the target was contiguous to the land of strong backscatter coefficient (NRCS: normalized radar cross section), the estimated velocity was in error by 10% at the maximum. This is because in the process of assuming the target's location, an error occurs due to the differential signals affected by other scatterers.

S-FPDP기법을 적용한 동영상홍채의 위치추적 향상 (Irises Position Tracking Improvement Using S-FPDP on Moving Irises Image)

  • 류광렬;채덕현
    • 한국정보통신학회논문지
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    • 제10권1호
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    • pp.123-126
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    • 2006
  • 본 논문은 눈 안에서 움직이는 홍채의 영상에 대해 홍채의 위치추적능력을 향상시키기 위 한 연구이다. 향상기법은 S-FPDP기법을 적용하였다. 실험 결과 기존의 FPDP기법을 적용한 방법보다 추적범위가 증가하였고, 홍채의 움직임에서 추적이 가능하였다.

The Periodic Moving Average Filter for Removing Motion Artifacts from PPG Signals

  • Lee, Han-Wook;Lee, Ju-Won;Jung, Won-Geun;Lee, Gun-Ki
    • International Journal of Control, Automation, and Systems
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    • 제5권6호
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    • pp.701-706
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    • 2007
  • The measurement accuracy for heart rate or $SpO_2$ using photoplethysmography (PPG) is influenced by how well the noise from motion artifacts and other sources can be removed. Eliminating the motion artifacts is particularly difficult since its frequency band overlaps that of the basic PPG signal. Therefore, we propose the Periodic Moving Average Filter (PMAF) to remove motion artifacts. The PMAF is based on the quasi-periodicity of the PPG signals. After segmenting the PPG signal on periodic boundaries, we average the $m^{th}$ samples of each period. As a result, we remove the motion artifacts well without the deterioration of the characteristic point.

RFID Based Indoor Positioning System Using Event Filtering

  • Bok, Kyoungsoo;Yoo, Jaesoo
    • Journal of Electrical Engineering and Technology
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    • 제12권1호
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    • pp.335-345
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    • 2017
  • Recently, location systems using RFID technology have been studied in indoor environments. However, the existing techniques require high computational cost to compute the location of a moving object because they compare the location proximity of all reference tags and objects. In this paper, we propose an RFID based location positioning scheme using event filtering, which reduces the computation cost of calculating the locations of moving objects while maintaining the accuracy of location estimation. In addition, we propose an incremental location update policy to reduce the location update cost for moving objects. We also compare the proposed scheme with one of the localization schemes, LANDMARC using a performance evaluation. As a result, the proposed scheme outperforms LANDMARC in terms of the computational cost of location estimation. The proposed scheme also reduces the cost of location update by using the RFID-based update policy.

Unsupervised Single Moving Object Detection Based on Coarse-to-Fine Segmentation

  • Zhu, Xiaozhou;Song, Xin;Chen, Xiaoqian;Lu, Huimin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권6호
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    • pp.2669-2688
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    • 2016
  • An efficient and effective unsupervised single moving object detection framework is presented in this paper. Given the sparsely labelled trajectory points, we adopt a coarse-to-fine strategy to detect and segment the foreground from the background. The superpixel level coarse segmentation reduces the complexity of subsequent processing, and the pixel level refinement improves the segmentation accuracy. A distance measurement is devised in the coarse segmentation stage to measure the similarities between generated superpixels, which can then be used for clustering. Moreover, a Quadmap is introduced to facilitate the refinement in the fine segmentation stage. According to the experiments, our algorithm is effective and efficient, and favorable results can be achieved compared with state-of-the-art methods.

중첩격자에 대한 이동최소자승법 적용 연구 (APPLICATION OF MOVING LEAST SQUARE METHOD IN CHIMERA GRID METHOD)

  • 이관중;이승수;조진연
    • 한국전산유체공학회지
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    • 제13권1호
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    • pp.49-56
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    • 2008
  • Chimera grid methods have been widely used in Computational Fluid Dynamics due to its simplicity in constructing grid systems over complex bodies, and suitability for unsteady flow computations with bodies in relative motion. However, the interpolation procedure for ensuring the continuity of the solution over overlapped regions fails when the so-called orphan cells are present. We have adopted the MLS(Moving Least Squares) method to replace commonly used linear interpolations in order to alleviate the difficulty associated with the orphan cells. MLS is one of the interpolation methods used in mesh-less methods. A number of examples with MLS are presented to show the validity and the accuracy of the method.

비젼 시스템을 이용한 2-D 원형 물체 추적 알고리즘의 비교에 관한 연구 (A Study on the Comparison of 2-D Circular Object Tracking Algorithm Using Vision System)

  • 한규범;김정훈;백윤수
    • 한국정밀공학회지
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    • 제16권7호
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    • pp.125-131
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    • 1999
  • In this paper, the algorithms which can track the two dimensional moving circular object using simple vision system are described. In order to track the moving object, the process of finding the object feature points - such as centroid of the object, corner points, area - is indispensable. With the assumption of two-dimensional circular moving object, the centroid of the circular object is computed from three points on the object circumference. Different kinds of algorithms for computing three edge points - simple x directional detection method, stick method. T-shape method are suggested. Through the computer simulation and experiments, three algorithms are compared from the viewpoint of detection accuracy and computational time efficiency.

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신경 회로망을 이용한 이동물체의 실시간 위치측정에 대한 연구 (A study on the real-time Position measurements of mobile object using neural network)

  • 노재희;이운근;노영식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.832-834
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    • 1999
  • This paper is a study on the real-position measurements of mobile object using n network. 2-D PSD sensor is used to measure th position of moving object with light source. Position Sensitive Detector(PSD) is an useful which can be used to measure the position o incidence light in accuracy and in real-time. T the position of light source of moving target, neural network technique are proposed and applied. Real-time position measurements of the mobile robot with light source is examined to validate the proposed method. It is shown that the proposed technique provides accurate position estimation of the moving object.

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유연한 구조물 위를 주행하는 물체의 동역학적 해석 (Dynamic Analysis of a Body Moving on a Flexible Structure)

  • 이기수
    • 대한기계학회논문집
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    • 제18권7호
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    • pp.1674-1684
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    • 1994
  • An efficient iterative method is presented for the dynamic analysis of bodies moving on flexible structures. In contrast to traditional approaches, the nominal motion of the body is considered here as an unknown. The correct contact forces between the bodies and the flexible structures are computed by an iterative method reducing the specially defined error vectors to zero, and thus satisfying the constraints between the bodies and the structures. Even thought only simple equations of motions and simple time integrators are adopted, the correct solutions are economically obtained and the Timoshenko paradox is completely resolved. Numerical simulations are conducted demonstrate the accuracy and reliability of the solution and to compare the results with the reference.