• Title/Summary/Keyword: Color identification

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The Design and Implementation for Efficient C2A (효율적인 방공 지휘통제경보체계를 위한 설계 및 구현)

  • Kwon, Cheol-Hee;Hong, Dong-Ho;Lee, Dong-Yun;Lee, Jong-Soon;Kim, Young-Vin
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.6
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    • pp.733-738
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    • 2009
  • In this paper, we have proposed the design and implementation for efficient Command Control and Alert(C2A). Information fusion must be done for knowing the state and identification of targets using multi-sensor. The threat priority of targets which are processed and identified by information fusion is calculated by air-defence operation logic. The threat targets are assigned to the valid and effective weapons by nearest neighborhood algorithm. Furthermore, the assignment result allows operators to effectively operate C2A by providing the operators with visualizing symbol color and the assignment pairing color line. We introduce the prototype which is implemented by the proposed design and algorithm.

A Chinese Wood Species, Hongmu and Its Characteristics for Identification

  • Fu, Yunlin;Liu, Zhi;Chun, Su-Kyoung
    • Journal of the Korea Furniture Society
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    • v.17 no.2
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    • pp.1-7
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    • 2006
  • A chinese wood species called China Hongmu, is an excellent wood to make high quality furniture owing to attracting color, beautiful grain, and durability. Hongmu is not a tree or wood species name. The general designation in Hongmu group is a similar to one of its density, structure, color and use. Hongmu considers more than 30 hardwood species of Pterocarpus, Dalbergia, Diospyros, Millettia, and Cassia. According to the macrostructural characteristics and properties, Hongmu group can be classified into 8 groups which are Zitanmulei, Hualimulei, Heisuanzhimulei, Hongsuanzhimulei, Xiangzhimulei, Wumulei, Tiaowenwumulei and Jichimulei. In this paper, the growing areas, scientific names and identifiable characteristics of these Hongmu group species were introduced for help to identify China Hongmu and its products in the market as well.

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Real-time face tracking for high-resolution intelligent surveillance system (고해상도 지능형 감시시스템을 위한 실시간 얼굴영역 추적)

  • 권오현;김상진;김영욱;백준기
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.317-320
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    • 2003
  • In this paper, we present real-time, accurate face region detection and tracking technique for an intelligent surveillance system. It is very important to obtain the high-resolution images, which enables accurate identification of an object-of-interest. Conventional surveillance or security systems, however, usually provide poor image quality because they use one or more fixed cameras and keep recording scenes without any clue. We implemented a real-time surveillance system that tracks a moving person using pan-tilt-zoom (PTZ) cameras. While tracking, the region-of-interest (ROI) can be obtained by using a low-pass filter and background subtraction. Color information in the ROI is updated to extract features for optimal tracking and zooming. The experiment with real human faces showed highly acceptable results in the sense of both accuracy and computational efficiency.

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End-use Properties of Men's Socks in Various Material fibers (시판양말의 재료섬유별 성능에 관하여)

  • 조성교
    • Journal of the Korean Home Economics Association
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    • v.19 no.2
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    • pp.135-141
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    • 1981
  • This study was conducted to survey the end-use properties of the commercial men's socks. Date were obtained from 16 samples of men's socks gathered from department store, markets, specialty chain and variety store in street. Stretchness, performance of rib top, fiber contents, strength (abrasion and bursting), pilling properties and color fastness of socks tested in this study were as follows. 1. Stretchness of socks was sufficient but elongation of rib top was insufficient, therefore these facts are getting to become problem to consumers. 2. Fiber contents of samples were not in accord with the labelled item and criteria of Textile Fiber Product Identification Act. 3. Strength and pilling properties were vaious in according to fiber contents of socks. Socks blended of synthetic fibers were superior to that pure natural fibers in strength but not in pilling. 4. Color fastness to perspiration and rubbing were sufficient on the whole, but fastness to laundering in stain were very insufficient.

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Determining the Depth of Normal-Strength Concrete with Early-Frost Damage Through Dry Test (초기동해 피해를 입은 보통강도 콘크리트의 건조시험에 의한 깊이판정)

  • Kim, Tae-Woo;Beak, Cheol;Lee, Jae-Jin;Kim, Dong-Gyu;Han, Min-Cheol;Han, Cheon-Goo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.11a
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    • pp.65-66
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    • 2017
  • Early-frost damages easily take place in smaller and thinner walls and slabs. In case of slabs, it is difficult to visually determine the depth of early-frost damage. As such, the current study aims to determine the depth of early-frost damage caused to concrete structures due to bad curing in the winter. As a result, the study found that the depth of early-frost damages increased from the top as the atmospheric temperature on the concrete surface decreased. The changes in the color allowed the observer to easily identify the depth of early-frost damage with the naked eye. In particular, the color difference between potentially damaged parts and undamaged parts were the greatest around thirty minutes of drying after wetting.

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Forest Fire Detection and Identification Using Image Processing and SVM

  • Mahmoud, Mubarak Adam Ishag;Ren, Honge
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.159-168
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    • 2019
  • Accurate forest fires detection algorithms remain a challenging issue, because, some of the objects have the same features with fire, which may result in high false alarms rate. This paper presents a new video-based, image processing forest fires detection method, which consists of four stages. First, a background-subtraction algorithm is applied to detect moving regions. Secondly, candidate fire regions are determined using CIE $L{\ast}a{\ast}b{\ast}$ color space. Thirdly, special wavelet analysis is used to differentiate between actual fire and fire-like objects, because candidate regions may contain moving fire-like objects. Finally, support vector machine is used to classify the region of interest to either real fire or non-fire. The final experimental results verify that the proposed method effectively identifies the forest fires.

Vehicle tracking algorithm using the hue transform in HIS color model (HIS 칼라모델에서 색상 변환을 이용한 자동차 추적 알고리즘)

  • Lee, Joo-Shin
    • Journal of Advanced Navigation Technology
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    • v.15 no.1
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    • pp.130-139
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    • 2011
  • In this paper, vehicle tracking algorithm using hue transformation in HIS color model is proposed. the proposed algorithm is installed on the road of the two horizontal virtual data sampling lines. The difference images are detected between the frame and the frame, respectively and also detected in the vehicle by using the hue color distribution to determine identity and lane changes. To examine the effectiveness of proposed algorithm, identification and velocity measurement for driving vehicle are evaluated. this evaluated results is shown by hue data of vehicle passing of two virtual data sample lines, and the velocity measurement for driving vehicle is less than 0.4% comparing with existing vehicle speed meter system.

Real Time Face Detection with TS Algorithm in Mobile Display (모바일 디스플레이에서 TS 알고리즘을 이용한 실시간 얼굴영역 검출)

  • Lee, Yong-Hwan;Kim, Young-Seop;Rhee, Sang-Bum;Kang, Jung-Won;Park, Jin-Yang
    • Journal of the Semiconductor & Display Technology
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    • v.4 no.1 s.10
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    • pp.61-64
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    • 2005
  • This study presents a new algorithm to detect the facial feature in a color image entered from the mobile device with complex backgrounds and undefined distance between camera's location and the face. Since skin color model with Hough transformation spent approximately 90$\%$ of running time to extract the fitting ellipse for detection of the facial feature, we have changed the approach to the simple geometric vector operation, called a TS(Triangle-Square) transformation. As the experimental results, this gives benefit of reduced run time. We have similar ratio of face detection to other methods with fast speed enough to be used on real-time identification system in mobile environments.

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Emotional Recognition System Using Eigenfaces (Eigenface를 이용한 인간의 감정인식 시스템)

  • Joo, Young-Hoon;Lee, Sang-Yun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.2
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    • pp.216-221
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    • 2003
  • Emotions recognition is a topic on which little research has been done to date. This paper proposes a new method that can recognize the human s emotion from facial image by using eigenspace. To do so, first, we get the face image by using the skin color from the original color image acquired by CCD color camera. Second, we get the vector image which is projected the obtained face image into eigenspace. And then, we propose the method for finding out each person s identification and emotion from the weight of vector image. Finally, we show the practical application possibility of the proposed method through the experiment.