• Title/Summary/Keyword: Background Similarity

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Robust Object Detection from Indoor Environmental Factors (다양한 실내 환경변수로부터 강인한 객체 검출)

  • Choi, Mi-Young;Kim, Gye-Young;Choi, Hyung-Il
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.2
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    • pp.41-46
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    • 2010
  • In this paper, we propose a detection method of reduced computational complexity aimed at separating the moving objects from the background in a generic video sequence. In generally, indoor environments, it is difficult to accurately detect the object because environmental factors, such as lighting changes, shadows, reflections on the floor. First, the background image to detect an object is created. If an object exists in video, on a previously created background images for similarity comparison between the current input image and to detect objects through several operations to generate a mixture image. Mixed-use video and video inputs to detect objects. To complement the objects detected through the labeling process to remove noise components and then apply the technique of morphology complements the object area. Environment variable such as, lighting changes and shadows, to the strength of the object is detected. In this paper, we proposed that environmental factors, such as lighting changes, shadows, reflections on the floor, including the system uses mixture images. Therefore, the existing system more effectively than the object region is detected.

Multichannel Quantum Defect Theory Analysis of Overlapping Resonance Structures in Lu-Fano Plots of Rare Gas Spectra

  • Lee, Chun-Woo;Kong, Ja-Hyun
    • Bulletin of the Korean Chemical Society
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    • v.30 no.8
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    • pp.1783-1792
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    • 2009
  • Although overlapping resonances have been studied extensively in conventional resonance theories, there have not been many studies on them in multichannel quantum defect theories (MQDT). In MQDT, overlapping resonances occur between the channels instead of states, which pose far greater difficulty. Their systematic treatment was obtained for cases involving degenerate closed channels by applying our previous theory, which decouples background scattering from the resonance scattering in the MQDT formulation. The use of mathematical theory on con-diagonalization and con-similarity was essential for handling the non-Hermitian symmetric complex matrix. Overlapping resonances in rare gas spectra of Ar, Kr and Xe were analyzed using this theory and the results were compared with the ones of the previous alternative parameterizations of MQDT which make the open-open part $K^{oo}$ and closed-closed part $K^{cc}$ of reactance submatrices zero. The comparison revealed that separation of background and resonance scatterings achieved in our formulation in a systematic way was not achieved in the representation of $K^{oo}\;=\;0\;and\;K^{cc}$ = 0 when overlapping resonances are present.

The Construction of a Chinese Cabbage Marker-assisted Backcrossing System Using High-throughput Genotyping Technology

  • Kim, Jinhee;Kim, Do-Sun;Lee, Eun Su;Ahn, Yul-Kyun;Chae, Won Byoung;Lee, Soo-Seong
    • Horticultural Science & Technology
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    • v.35 no.2
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    • pp.232-242
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    • 2017
  • The goal of marker-assisted backcrossing (MAB) is to significantly reduce the number of breeding generations required by using genome-based molecular markers to select for a particular trait; however, MAB systems have only been developed for a few vegetable crops to date. Among the types of molecular markers, SNPs (single-nucleotide polymorphisms) are primarily used in the analysis of genetic diversity due to their abundance throughout most genomes. To develop a MAB system in Chinese cabbage, a high-throughput (HT) marker system was used, based on a previously developed set of 468 SNP probes (BraMAB1, Brassica Marker Assisted Backcrossing SNP 1). We selected a broad-spectrum TuMV (Turnip mosaic virus) resistance (trs) Chinese cabbage line (SB22) as a donor plant, constructing a $BC_1F_1$ population by crossing it with the TuMV-susceptible 12mo-682-1 elite line. Foreground selection was performed using the previously developed trsSCAR marker. Background selection was performed using 119 SNP markers that showed clear polymorphism between donor and recipient plants. The background genome recovery rate (% recurrent parent genome recovery; RPG) was good, with three of 75 $BC_1F_1$ plants showing a high RPG rate of over 80%. The background genotyping result and the phenotypic similarity between the recurrent parent and $BC_1F_1$ showed a correlation. The plant with the highest RPG recovery rate was backcrossed to construct the $BC_2F_1$ population. Foreground selection and background selection were performed using 169 $BC_2F_1$ plants. This study shows that, using MAB, we can recover over 90% of the background genome in only two generations, highlighting the MAB system using HT markers as a highly efficient Brassica rapa backcross breeding system. This is the first report of the application of a SNP marker set to the background selection of Chinese cabbage using HT SNP genotyping technology.

Evaluation of Germplasm and Development of SSR Markers for Marker-assisted Backcross in Tomato (분자마커 이용 여교잡 육종을 위한 토마토 유전자원 평가 및 SSR 마커 개발)

  • Hwang, Ji-Hyun;Kim, Hyuk-Jun;Chae, Young;Choi, Hak-Soon;Kim, Myung-Kwon;Park, Young-Hoon
    • Horticultural Science & Technology
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    • v.30 no.5
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    • pp.557-567
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    • 2012
  • This study was conducted to achieve basal information for the development of tomato cultivars with disease resistances through marker-assisted backcross (MAB). Ten inbred lines with TYLCV, late blight, bacterial wilt, or powdery mildew resistance and four adapted inbred lines with superior horticultural traits were collected, which can be useful as the donor parents and recurrent parents in MAB, respectively. Inbred lines collected were evaluated by molecular markers and bioassay for confirming their disease resistances. To develop DNA markers for selecting recurrent parent genome (background selection) in MAB, a total of 108 simple sequence repeat (SSR) primer sets (nine per chromosome at average) were selected from the tomato reference genetic maps posted on SOL Genomics Network. Genetic similarity and relationships among the inbred lines were assessed using a total of 303 polymorphic SSR markers. Similarity coefficient ranged from 0.33 to 0.80; the highest similarity coefficient (0.80) was found between bacterial wilt-resistant donor lines '10BA333' and '10BA424', and the lowest (0.33) between a late blight resistant-wild species L3708 (S. pimpinelliforium L.) and '10BA424'. UPGMA analysis grouped the inbred lines into three clusters based on the similarity coefficient 0.58. Most of the donor lines of the same resistance were closely related, indicating the possibility that these lines were developed using a common resistance source. Parent combinations (donor parent ${\times}$ recurrent parent) showing appropriate levels of genetic distance and SSR marker polymorphism for MAB were selected based on the dendrogram. These combinations included 'TYR1' ${\times}$ 'RPL1' for TYLCV, '10BA333' or '10BA424' ${\times}$ 'RPL2' for bacterial wilt, and 'KNU12' ${\times}$ 'AV107-4' or 'RPL2' for powdery mildew. For late blight, the wild species resistant line 'L3708' was distantly related to all recurrent parental lines, and a suitable parent combination for MAB was 'L3708' ${\times}$ 'AV107-4', which showed a similarity coefficient of 0.41 and 45 polymorphic SSR markers.

Study on Improving Hyperspectral Target Detection by Target Signal Exclusion in Matched Filtering (초분광 영상의 표적신호 분리에 의한 Matched Filter의 표적물질 탐지 성능 향상 연구)

  • Kim, Kwang-Eun
    • Korean Journal of Remote Sensing
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    • v.31 no.5
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    • pp.433-440
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    • 2015
  • In stochastic hyperspectral target detection algorithms, the target signal components may be included in the background characterization if targets are not rare in the image, causing target leakage. In this paper, the effect of target leakage is analysed and an improved hyperspectral target detection method is proposed by excluding the pixels which have similar reflectance spectrum with the target in the process of background characterization. Experimental results using the AISA airborne hyperspectral data and simulated data with artificial targets show that the proposed method can dramatically improve the target detection performance of matched filter and adaptive cosine estimator. More studies on the various metrics for measuring spectral similarity and adaptive method to decide the appropriate amount of exclusion are expected to increase the performance and usability of this method.

3DCGI workflow proposal for reduce rendering time of drama VFX (드라마 VFX의 렌더링 시간 단축을 위한 3DCGI 워크플로우 제안)

  • Baek, Kwang Ho;Ji, Yun;Lee, Byung Chun;Yun, Tae Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.1006-1014
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    • 2020
  • Consumer expectations for drama VFX increased as the influx of overseas dramas increased due to the growth of OTT service, but the current production time of the drama production system has a negative effect on the quality and completion of work. This paper proposes a background rendering using a game engine and a subject rendering using background HDRI as environmental lighting. The proposed workflow is expected to reduce the production time of VFX and improve the quality of VFX. The proposed workflow was verified in 3 steps. Comparing game engine and rendering software according to the same lighting environment and camera distance, comparing rendering with existing rendering method and background HDRI generation, and validating the proposed workflow. For verification, quantitative evaluation was performed using Structual similarity index and histogram. This study is expected to be one of the options to improve the quality of VFX and improve the risk.

Study on Comarison of Homeopathy with Oriental Medicine in Basic Principles from the literature (동종요법의 기본원리에 대한 한의학적 고찰)

  • An, Sang-Woo;Shin, Yong-Cheol
    • Korean Journal of Oriental Medicine
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    • v.1 no.1
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    • pp.179-207
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    • 1995
  • Homoeopathy ws established in 1796 by German phsician Samuel Hahnemann$(1755{\sim}1843)$. This method is an alternative form of therapy involving treatment by natural remedies. The basic principles of homoeopathic medicine, 'similia similibus curentur', 'experimenta in homine sano', 'dose minimae' and 'unitas remedii', are founded upon the idea of illness as a disorder of the internal equilibrium at the physical, mental and psychic levels. The three distinguishing characteristics of homopathy are that remedies are prescribed on the totlity of a person's symptoms, that the remedy likely to cure a person is a dilution of that substance which would cause the same symptoms in a healthy person, and that remedies are prepared using mcirodoses of substances which are diluted and then vigorously shaken. This paper describes the historical background of homeopathy and compared with the basic principles of oriental medicine from the literature.

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Visual Attention Detection By Adaptive Non-Local Filter

  • Anh, Dao Nam
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.1
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    • pp.49-54
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    • 2016
  • Regarding global and local factors of a set of features, a given single image or multiple images is a common approach in image processing. This paper introduces an application of an adaptive version of non-local filter whose original version searches non-local similarity for removing noise. Since most images involve texture partner in both foreground and background, extraction of signified regions with texture is a challenging task. Aiming to the detection of visual attention regions for images with texture, we present the contrast analysis of image patches located in a whole image but not nearby with assistance of the adaptive filter for estimation of non-local divergence. The method allows extraction of signified regions with texture of images of wild life. Experimental results for a benchmark demonstrate the ability of the proposed method to deal with the mentioned challenge.

Mean Shift Based Object Tracking with Color and Spatial Information (칼라와 공간 정보를 이용한 평균 이동에 기반한 물체 추적)

  • An, Kwang-Ho;Chung, Myung-Jin
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.1973-1974
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    • 2006
  • The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local maxima of a similarity measure between the color histograms of the target and candidate image. However, the mean shift tracking algorithm using only color histograms has a serious defect. It doesn't use the spatial information of the target. Thus, it is difficult to model the target more exactly. And it is likely to lose the target during the occlusions of other objects which have similar color distributions. To deal with these difficulties we use both color information and spatial information of the target. Our proposed algorithm is robust to occlusions and scale changes in front of dynamic, unstructured background. In addition, our proposed method is computationally efficient. Therefore, it can be executed in real-time.

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Robust Mean-Shift Tracking Using Adoptive Selection of Hue/Saturation (Hue/Saturation 영상의 적응적 선택을 이용한 강인한 Mean-Shift Tracking)

  • Park, Han-dong;Oh, Jeong-su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.579-582
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    • 2015
  • The Mean-Shift is a robustness algorithm that can be used for tracking the object using the similarity of histogram distributions of target model and target candidate. However, Mean-shift using hue information has disadvantage of tracking a wrong target when the target and background has similar hue distributions. We then propose a robust Mean-Shift tracking algorithm using new image that combined upper 4bit-planes in hue and saturation, respectively.

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