• Title/Summary/Keyword: Color Centroid

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STEP Rally

  • 유상봉
    • Proceedings of the CALSEC Conference
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    • 2000.08a
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    • pp.151-163
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    • 2000
  • ㆍ 참여 시스템 증가/STEP기능 홍보 ㆍ 일부 파일에서 error 발생 (특히, Surface) ㆍ 한글 지원 안됨 ㆍ 기술표준원, STEP 센터 등에서의 Authority를 갖는 테스트 필요 -국제 및 국내 인증 역할 병행 ㆍ 테스트 항목 상세화 필요 - color, 3D text annotation, drawing view, features - 변환 후 area, volume, centroid 등 확인

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Offline Object Tracking for Private Information Masking in CCTV Data (CCTV 개인영상 정보보호를 위한 오프라인 객체추적)

  • Lee, Suk-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.12
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    • pp.2961-2967
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    • 2014
  • Nowadays, a private protection act has come into effect which demands for the protection of personal image information obtained by the CCTV. According to this act, the object out of interest has to be mosaicked such that it can not be identified before the image is sent to the investigation office. Meanwhile, the demand for digital videos obtained by CCTV is also increasing for digital forensic. Therefore, due to the two conflicting demands, the demand for a solution which can automatically mask an object in the CCTV video is increasing and related IT industry is expected to grow. The core technology in developing a target masking solution is the object tracking technique. In this paper, we propose an object tracking technique which suits for the application of CCTV video object masking as a postprocess. The proposed method simultaneously uses the motion and the color information to produce a stable tracking result. Furthermore, the proposed method is based on the centroid shifting method, which is a fast color based tracking method, and thus the overall tracking becomes fast.

Dominant Color Transform and Circular Pattern Vector: Applications to Traffic Sign Detection and Symbol Recognition

  • An, Jung-Hak;Park, Tae-Young
    • Journal of Electrical Engineering and information Science
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    • v.3 no.1
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    • pp.73-79
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    • 1998
  • In this paper, a new traffic sign detection algorithm.. and a symbol recognition algorithm are proposed. For traffic sign detection, a dominant color transform is introduced, which serves as a tool of highlighting a dominant primary color, while discarding the other two primary colors. For symbol recognition, the curvilinear shape distribution on a circle centered on the centroid of symbol, called a circular pattern vector, is used as a spatial feature of symbol. The circular pattern vector is invariant to scaling, translation, and rotation. As simulation results, the effectiveness of traffic sign detection and recognition algorithms are confirmed, and it is shown that group of circular patter vectors based on concentric circles is more effective than circular pattern vector of a single circle for a given equivalent number of elements of vectors.

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Centroids Shift Tracking Algorithm Considering Background Colors (배경색을 고려한 중심 이동 추적 알고리즘)

  • Choi, Eun-Cheol;Jang, Jun-Yeong;Kang, Moon-Gi
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.813-814
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    • 2008
  • In this paper, we propose a new tracking algorithm which uses weighted sum of color bin's centroids to find the main centroid of the target. The weights are determined by the proportion of colors of the target and by the colors of background. That is, A color which has high occupation in forming the target is highly weighted and a color which has low occupation is lowly weighted. Moreover, the proposed algorithm prevent track failure by lowering the weight of the colors which forms the background. Therefore, the proposed algorithm performs stable tracking inspite of occlusion and existence of confusing backgrounds.

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A Study on the New Gamut Mapping Method for Digital Color Proofing (디지털 컬러 교정인쇄를 위한 새로운 색역사상 방법에 관한 연구)

  • Song, Kyung-Chul;Kang, Sang-Hoon
    • Journal of the Korean Graphic Arts Communication Society
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    • v.20 no.2
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    • pp.119-129
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    • 2002
  • On the process of cross-media color reproduction, a key feature is the use of gamut mapping techniques to adjust the different color gamuts between displays and printers. Even though a nunber of gamut mapping algorithms were published in the past, only limited colorimetric evaluation of them has been carried out to date. In this paper, the multi-anchor points clipping method(MAPC) was proposed as a new gamut mapping algorithm compensating the defects of the current algorithms such as nearest point clipping method(NPC), centroid clipping method(SLIN), straight clipping method(LLIN) and maximum chroma clipping method(CUSP).

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Position Tracking of Underwater Robot for Nuclear Reactor Inspection using Color Information (색상정보를 이용한 원자로 육안검사용 수중로봇의 위치 추적)

  • 조재완;김창회;서용칠;최영수;김승호
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2259-2262
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    • 2003
  • This paper describes visual tracking procedure of the underwater mobile robot for nuclear reactor vessel inspection, which is required to find the foreign objects such as loose parts. The yellowish underwater robot body tend to present a big contrast to boron solute cold water of nuclear reactor vessel, tinged with indigo by Cerenkov effect. In this paper, we have found and tracked the positions of underwater mobile robot using the two color informations, yellow and indigo. The center coordinates extraction procedures is as follows. The first step is to segment the underwater robot body to cold water with indigo background. From the RGB color components of the entire monitoring image taken with the color CCD camera, we have selected the red color component. In the selected red image, we extracted the positions of the underwater mobile robot using the following process sequences: binarization labelling, and centroid extraction techniques. In the experiment carried out at the Youngkwang unit 5 nuclear reactor vessel, we have tracked the center positions of the underwater robot submerged near the cold leg and the hot leg way, which is fathomed to 10m deep in depth.

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The USN Node Location Recognition and Monitoring System Based on Low Power (저전력 기반의 USN 단말 위치 인식 및 모니터링 시스템)

  • Song, Young-Jun;Kim, Dong-Woo;Shin, Dong-Jin;Ahn, Jae-Hyeong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.6
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    • pp.11-17
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    • 2008
  • This paper proposes the USN node location recognition method with low power, which is the modified centroid method. The conventional Zigbee node location recognition is used to the three RSSI values from three beacons, respectively. When a person move with node, the moving speed of USN node doesn't fast. Therefore, one among three positions used to the value that it is a previous value. This method doesn't large the error in terms of the exact position. Using hand-off method, we get about 30% power advantage than the conventional centroid method. And Our monitoring system add the function that it is possible to search for the node region by color.

A Study of Globular Cluster Systems in the Coma, Fornax, and Virgo Clusters of Galaxies from HST ACS and WFC3/IR Imaging

  • Cho, Hyejeon
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.1
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    • pp.29.1-29.1
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    • 2017
  • I present new near-infrared (NIR) photometry of globular cluster (GC) systems associated to a cD galaxy NGC 4874 in the core of the Coma cluster and 16 early-type galaxies in the Fornax and Virgo clusters of galaxies using the Infrared Channel of the Wide Field Camera 3 (WFC3/IR) on board the Hubble Space Telescope (HST). Combining these high-resolution NIR data with new HST Advanced Camera for Surveys (ACS) optical photometry for NGC 4874 and existing ACS GC catalogs from the ACS Fornax and Virgo Cluster Surveys, I have examined for the first time the GC systems in a statistically significant optical/NIR sample of galaxies spanning a wide range of luminosities and colors. A primary goal of this study is to explore empirically whether the distributions of purely optical and hybrid optical - NIR color indices for extragalactic GCs have different forms and whether the relations between these color indices are nonlinear, indicating that they behave differently with underlying metallicity. I find that some GC systems of large galaxies in our sample show color bimodalities that differ between the optical and optical - NIR colors, in the sense that they have disparate ratios of "blue" and "red" peak GCs, as well as differing ratios in their color dispersions. Consistent with these results, I find empirically that the dependence of hybrid optical-NIR color on purely optical color is nonlinear, with an inflection at intermediate metallicities. These findings underscore the importance of understanding the nature of galaxy-to-galaxy variations in the GC color distributions and color-color relations, as well as the exact forms of the color-metallicity transformations, in interpreting the observational data on GC color bimodality. Our ACS data for NGC 4874 shows that its GC system exhibits a very strong blue tilt, implying a very steep mass-metallicity scaling, and the centroid of this GC system is offset by $4{\pm}1kpc$ from the luminosity center of NGC 4874, in the direction of NGC 4872. Finally, I discuss the asymmetrical GC distribution around a dwarf elliptical galaxy in Coma that has a very high relative velocity with respect to the cluster mean at small clustercentric radius.

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A study on visual tracking of the underwater mobile robot for nuclear reactor vessel inspection

  • Cho, Jai-Wan;Kim, Chang-Hoi;Choi, Young-Soo;Seo, Yong-Chil;Kim, Seung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1244-1248
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    • 2003
  • This paper describes visual tracking procedure of the underwater mobile robot for nuclear reactor vessel inspection, which is required to find the foreign objects such as loose parts. The yellowish underwater robot body tends to present a big contrast to boron solute cold water of nuclear reactor vessel, tinged with indigo by Cerenkov effect. In this paper, we have found and tracked the positions of underwater mobile robot using the two color information, yellow and indigo. The center coordinates extraction procedures are as follows. The first step is to segment the underwater robot body to cold water with indigo background. From the RGB color components of the entire monitoring image taken with the color CCD camera, we have selected the red color component. In the selected red image, we extracted the positions of the underwater mobile robot using the following process sequences; binarization, labelling, and centroid extraction techniques. In the experiment carried out at the Youngkwang unit 5 nuclear reactor vessel, we have tracked the center positions of the underwater robot submerged near the cold leg and the hot leg way, which is fathomed to 10m deep in depth.

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Construction of Simulation Environment for Line Tracer Using Gazebo In ROS (ROS에서 Gazebo를 이용한 라인 트레이서 시뮬레이션 환경 구축)

  • Seung Hwang-Bo
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.2_2
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    • pp.265-272
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    • 2023
  • In this paper, we directly implemented the Line Tracer ROS package that can detect and follow lines drawn on the map on Gazebo, an open-source that is widely used in autonomous driving research. For line detection, the cv_bridge package was used to enable OpenCV's image processing tools, and parameters such as robot speed, line color and ground material could be changed. In addition, proportional (P) and PID controls could be implemented using the color centroid obtained through image processing. Through this approach, the effect of proportional and differential coefficients on the robot's line tracer motion could be analyzed effectively. In addition, by displaying robot simulation results using various tools of ROS, an efficient development for control nodes could be established in ROS.