• Title/Summary/Keyword: reference background

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A Study on 3D Background Image Construction using TIP (TIP기술을 이용한 3차원 배경 영상 구축에 관한 연구)

  • Roh, Chang-Hyun;Jung, Kwang-Ho
    • Journal of Korea Game Society
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    • v.2 no.1
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    • pp.49-54
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    • 2002
  • In this paper we propose the methodology for 3D background image construction in computer games. This methodology was developed based on TIP (Tour Into the Picture) using a vanishing line Proposed by Kang et at. The methodology Proposed in this study can simply implement a 3D background for a computer game with a background model which is very complex or based on a real picture. Compared to the graphics technologies generally used, the proposed methodology does not need the process of modeling elaborate 3D information of a background, and hence can display the background even on a low grade personal computer using a small reference image. TIP technology was successfully applied to the implementation of a background model for a computer game and was found to be appropriate especially for real time games.

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The Dynamic Basement Amplification Characteristics of a Dam Site using a Reference Site Method (기준관측소 방법을 이용한 댐체 기반암의 동적 지반증폭특성)

  • Wee, Soung-Hoon;Kim, Jun-Kyoung;Yoo, Seong-Hwa
    • Journal of the Korean earth science society
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    • v.38 no.2
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    • pp.161-171
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    • 2017
  • Observed ground motions are composed of three factors such as, seismic source, attenuation, and site amplification effect. Among them, the site amplification characteristics should be considered significantly when estimating seismic source and attenuation characteristics with more confidence. The site effect is also necessary when estimating not only seismic hazard in seismic design engineering but also rock mechanical properties. This study uses the method of H/V spectral ratio of observed ground motion between target site and reference site called a reference site method. In addition to using the vertical Fourier spectrum of the reference site, we try out the horizontal Fourier spectrum as a new method in this study. We analyze H/V spectral ratio of six ground motions respectively, observed at four sites close to Yedang Reservoir. We then compare site amplification effects at each site using 3 kinds of seismic energies including S waves, Coda waves energy, and background noise. The results suggest that each site showed similar site amplification patterns in S waves and Coda waves energy. However, the site amplification of background noise shows much different characteristics from those of S waves and Coda wave energy, which suggests that the background noises at each site have their own developing mechanism. Each station shows its own characteristics of specific resonance frequency and site amplification properties in low, high and specific resonance frequency ranges. Comparison of the method used in this study to the others that used different methods can provide us with more information about the dynamic amplification of a site characteristics and site classification.

Fast Reference Region Adjustment Using Sizing Factor Generation in Correlation-Based Image Tracking

  • Sung, Si-Hun;Chien, Sung-Il
    • Journal of Electrical Engineering and information Science
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    • v.3 no.2
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    • pp.230-238
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    • 1998
  • When size and shape of moving object have been changed, a correlator often accumulates walk-off error. A success of correlation-based tracking largely depends on choosing suitable window size and position and thus transferring the proper reference image to the next frame. For this, we propose the Adaptive Window Algorithm with Four-Direction Sizing Factors (AWA-FSF) for fast adjusting a reference region to enhance reliability of correlation-based image tracking in complex cluttered environments. Since the AWA-FSF is capable of adjusting a reference image size more rapidly and properly, we can minimize the influence of complex background and clutter. In addition, we can finely tune the center point of the reference image repeatedly after main tracking process. Thus we have increased stability and reliability of correlation-based image tracking. We tested performance of the AWA-FSF using 45 real image sequences made of over 3400 images and had the satisfied results for most of them.

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A formalism for the absorbed dose evaluation of the glass dosimeter

  • Ka-Young Park;Hyun-Chul Kim;Byoung-Chul Kim
    • Nuclear Engineering and Technology
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    • v.55 no.6
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    • pp.2283-2287
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    • 2023
  • We propose in the present work how the reference glass dosimeters can be introduced, which reflects the user irradiation condition. The reference glass dosimeters are used for correcting the reader fluctuation by reading it with sample glass dosimeters at the same time. Since they can be used without annealing after irradiation for long periods, one should consider both the fading effect and the natural background dose accumulation quantitatively. We construct an empirical but practical formalism of evaluating the absorbed dose on the glass dosimeter with the fading effect and the natural background dose accumulation considered.

An effective background subtraction in dynamic scene. (동적 환경에서의 효과적인 움직이는 객체 추출)

  • Han, Jae-Hyek;Kim, Yong-Jin;Ryu, Sae-Woon;Lee, Sang-Hwa;Park, Jong-Il
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.631-636
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    • 2009
  • Foreground segmentation methods have steadily been researched in the field of computer vision. Especially, background subtraction which extracts a foreground image from the difference between the current frame and a reference image, called as "background image" have been widely used for a variety of real-time applications because of low computation and high-quality. However, if the background scene was dynamically changed, the background subtraction causes lots of errors. In this paper, we propose an efficient background subtraction method in dynamic environment with both static and dynamic scene. The proposed method is a hybrid method that uses the conventional background subtraction for static scene and depth information for dynamic scene. Its validity and efficiency are verified by demonstration in dynamic environment, where a video projector projects various images in the background.

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Objective Evaluation of Background Subtraction Algorithms for Soccer Video Analysis: An Experimental Comparative Study (축구 동영상 분석을 위한 배경 분리 알고리즘들의 정량적 비교 평가에 관한 연구)

  • Jung, Chanho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.1
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    • pp.42-45
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    • 2017
  • In this letter, we present an experimental comparative study of background subtraction algorithms for soccer video analysis. We investigated five different background subtraction algorithms under the same experimental setup. For the quantitative comparison, we employed the precision, recall, and F-measure. We believe that this comprehensive comparative study serves as a reference point and guide for developers and practitioners in choosing an appropriate background subtraction algorithm adopted for building intelligent soccer video analysis systems.

Background music monitoring framework and dataset for TV broadcast audio

  • Hyemi Kim;Junghyun Kim;Jihyun Park;Seongwoo Kim;Chanjin Park;Wonyoung Yoo
    • ETRI Journal
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    • v.46 no.4
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    • pp.697-707
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    • 2024
  • Music identification is widely regarded as a solved problem for music searching in quiet environments, but its performance tends to degrade in TV broadcast audio owing to the presence of dialogue or sound effects. In addition, constructing an accurate dataset for measuring the performance of background music monitoring in TV broadcast audio is challenging. We propose a framework for monitoring background music by automatic identification and introduce a background music cue sheet. The framework comprises three main components: music identification, music-speech separation, and music detection. In addition, we introduce the Cue-K-Drama dataset, which includes reference songs, audio tracks from 60 episodes of five Korean TV drama series, and corresponding cue sheets that provide the start and end timestamps of background music. Experimental results on the constructed and existing datasets demonstrate that the proposed framework, which incorporates music identification with music-speech separation and music detection, effectively enhances TV broadcast audio monitoring.

Motion Estimation Method by Using Depth Camera (깊이 카메라를 이용한 움직임 추정 방법)

  • Kwon, Soon-Kak;Kim, Seong-Woo
    • Journal of Broadcast Engineering
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    • v.17 no.4
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    • pp.676-683
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    • 2012
  • Motion estimation in video coding greatly affects implementation complexity. In this paper, a reducing method of the complexity in motion estimation is proposed by using both the depth and color cameras. We obtain object information with video sequence from distance information calculated by depth camera, then perform labeling for grouping pixels within similar distances as the same object. Three search regions (background, inside-object, boundary) are determined adaptively for each of motion estimation blocks within current and reference pictures. If a current block is the inside-object region, then motion is searched within the inside-object region of reference picture. Also if a current block is the background region, then motion is searched within the background region of reference picture. From simulation results, we can see that the proposed method compared to the full search method remains the almost same as the motion estimated difference signal and significantly reduces the searching complexity.

A proposal of spirometry reference equations for Korean workers

  • Yonglim Won;Hwa-Yeon Lee
    • Annals of Occupational and Environmental Medicine
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    • v.34
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    • pp.14.1-14.14
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    • 2022
  • Background: Although spirometry results can be interpreted differently depending on the reference equation used, there are no established criteria for selecting reference equations as part of the special health examinations for Korean workers. Thus, it is essential to examine the current use of reference equations in Korea, quantify their impact on result interpretation, and propose reference equations suitable for Korean workers, while also considering the environmental conditions of special health examination facilities. Methods: The 213,640 results from the special health examination database were analyzed to identify changes in the ratio of measured values to reference values of lung capacity in Korean workers with changes in age or height, and changes in the agreement of interpretations with the reference equation used. Data from 238 organizations that participated in the 2018-2019 quality control assessment by the Korea Occupational Safety and Health Agency were used to identify the spirometer model and reference equations used in each special health examination facility. Results: Korean special health examination facilities used six reference equations, and the rate of normal or abnormal ventilatory diagnoses varied with the reference equation used. The prediction curve of the Global Lung Function Initiative 2012-Northeast Asian (GLI2012) equation most resembled that of the normal group, but the spirometry model most commonly used by examination facilities was not compliant with the GLI2012 equation. With a scaling factor of 0.95 applied to the Dr. Choi equation, the agreement with the GLI2012 equation was > 0.81 for men and women. Conclusions: We propose the GLI2012 equation as reference equation for spirometry in Korean workers. The GLI2012 equation exhibited the most suitable prediction curve against the normal lung function group. For devices that cannot use the GLI2012 equation, we recommend applying a scaling factor of 0.95 to the Dr. Choi equation.

Learning Reference Vectors by the Nearest Neighbor Network (최근점 이웃망에의한 참조벡터 학습)

  • Kim Baek Sep
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.7
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    • pp.170-178
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    • 1994
  • The nearest neighbor classification rule is widely used because it is not only simple but the error rate is asymptotically less than twice Bayes theoretical minimum error. But the method basically use the whole training patterns as the reference vectors. so that both storage and classification time increase as the number of training patterns increases. LVQ(Learning Vector Quantization) resolved this problem by training the reference vectors instead of just storing the whole training patterns. But it is a heuristic algorithm which has no theoretic background there is no terminating condition and it requires a lot of iterations to get to meaningful result. This paper is to propose a new training method of the reference vectors. which minimize the given error function. The nearest neighbor network,the network version of the nearest neighbor classification rule is proposed. The network is funtionally identical to the nearest neighbor classification rule is proposed. The network is funtionally identical to the nearest neighbor classification rule and the reference vectors are represented by the weights between the nodes. The network is trained to minimize the error function with respect to the weights by the steepest descent method. The learning algorithm is derived and it is shown that the proposed method can adjust more reference vectors than LVQ in each iteration. Experiment showed that the proposed method requires less iterations and the error rate is smaller than that of LVQ2.

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