• Title/Summary/Keyword: edge tracking

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Small Target Detection Using 3-dimensional Bilateral Filter (3차원 양방향 필터를 이용한 소형 표적 검출)

  • Bae, Tae-Wuk
    • Journal of Korea Multimedia Society
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    • v.16 no.6
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    • pp.746-755
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    • 2013
  • This paper presents a three dimensional bilateral filter detecting target trajectory, extracting spatial target information using two dimensional bilateral filter and temporal target information using one dimensional bilateral filter. In order to discriminate edge pixel with flat background and target region spatially and temporally, spatial and temporal variance are used for an image and temporal profile. With this procedure, background and background profile are predicted without original target through two dimensional and one dimensional bilateral filter. Finally, using spatially predicted background and temporally predicted background profile, small target can be detected. For comparison of existing target detection methods and the proposed method, the receiver operating characteristics (ROC) is used in experimental results. Experimental results show that the proposed method has superior target detection rate and lower false alarm rate.

Recognition of Car License Plates Using Difference Operator and ART2 Algorithm (차 연산과 ART2 알고리즘을 이용한 차량 번호판 통합 인식)

  • Kim, Kwang-Baek;Kim, Seong-Hoon;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.11
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    • pp.2277-2282
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    • 2009
  • In this paper, we proposed a new recognition method can be used in application systems using morphological features, difference operators and ART2 algorithm. At first, edges are extracted from an acquired car image by a camera using difference operators and the image of extracted edges is binarized by a block binarization method. In order to extract license plate area, noise areas are eliminated by applying morphological features of new and existing types of license plate to the 8-directional edge tracking algorithm in the binarized image. After the extraction of license plate area, mean binarization and mini-max binarization methods are applied to the extracted license plate area in order to eliminated noises by morphological features of individual elements in the license plate area, and then each character is extracted and combined by Labeling algorithm. The extracted and combined characters(letter and number symbols) are recognized after the learning by ART2 algorithm. In order to evaluate the extraction and recognition performances of the proposed method, 200 vehicle license plate images (100 for green type and 100 for white type) are used for experiment, and the experimental results show the proposed method is effective.

Effect of Printing Qualities on the Resonant Frequencies of Printed UHF RFID Tag Antennas (인쇄 UHF RFID 태그 안테나의 인쇄 품질에 따른 공진 주파수의 영향)

  • Kim, Chung-Hwan;Lee, Yong-Shik;Kim, Young-Guk;Kim, Dong-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.25 no.11
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    • pp.90-94
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    • 2008
  • Recently, a great deal of research is focused on the printed electronics. One of their mainly concerned products is printed RFID tag. RFID technology has attracted researchers and enterprises as a promising method for automatic identification, and they are expected to replace conventional bar codes in inventory tracking and management. The key to successful RFID technology lies in developing low-cost RFID tags and the first step in applying printing technology to RFID systems is to replace antennas that are conventionally produced by etching copper or aluminum. However, due to the printing quality variations, errors, and lower conductivity, the performance of the printed RFID antennas is lower than that of antennas manufactured by conventional etching methods. In this paper, the effect of variations in the printing conditions on the antenna performance is investigated. Three levels for each condition parameter is assumed and effect on the resonant frequency are examined experimentally based on orthogonal array. The most serious factor that affects the resonant frequency of the antenna is the non-uniformity of the edge and the resonant frequency is found to be lower as the non-uniformity increases.

Soil Stiffness Evaluation using Vibration Frequency (진동주파수 해석을 통한 지반강성 평가방법)

  • Kim, Ju-Hyong;Yoo, Wan-Kyu;Kim, Byoung-Il
    • Proceedings of the Korean Geotechical Society Conference
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    • 2009.03a
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    • pp.987-992
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    • 2009
  • Continuous Compaction Control is a new cutting edge technique in United States, Japan and European construction market that uses an instrumented compactor to measure soil stiffness in real time usually with vehicle tracking system such as Global Navigation Satellite System (GNSS). In this study, soil stiffness was evaluated by adapting Fourier transforming technique with acceleration data obtained from accelerometers used as a continuous compaction control instrument. The soil stiffness obtained by accelerometers gave analogous results with reference results such as dry density, elastic modulus obtained from Geogauge and Light falling deflectometer.

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The design of phase error detector based on delayed n-tap rising edge clock:It's DP-PLL system application (지연된 n-탭 상승 에지 클럭을 이용한 위상 오차 검출기의 설계와 DP-PLL에의 적용)

  • 박군종;구광일;윤정현;윤대희;차일환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.4
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    • pp.1100-1112
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    • 1998
  • In this paper, a novel method of minimizing the phase error is proposed. A DP-PLL system using this method is implemented and its performacnce is investigated, too. The DP-PLL system detects the phase error between reference clock and locally generated system clock. The phase difference is then reported as a PEV(Phase Error Variation), which is propoced from the delayted n-tap rising dege clock circuit with 5ns resolution in the phase detector. The algorithm is used to track the optimal DAC coefficients, which are adjusted from sample to sample in such a way as to minimize the PEV. The proposed method is found to have remarkable good potential for fast and accurate phase error tracking characteristic. The algorithm shows good performance to supress the low frequency jitter.-ending points, we design new basis functions based on the Legendre polynomial and then transform the error signals with them. When applied to synthetic images such as circles, ellipses and etc., the proposed method provides, in overall, outstanding results in respect to the transform coding gain compared with DCT and DST. And in the case when applied to natural images, the proposed method gives better image quality over DCT and comparable results with DST.

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Design of Operating room Patients Location System for u-Hospital (u-Hospital 환경에서의 수술실 환자 위치추적 시스템 설계)

  • Kim, Seokhun;Jung, Jinyoung;Kim, Sookyun
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.1
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    • pp.103-110
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    • 2013
  • RFID is estimated to have great potential for hospitals to reduce various costs, reconsider patients' safety, and provide high quality medical service. As the ubiquitous technology allows the medical market to expand, medical centers all around the country are fiercely competing against one another. In order to increase the hospital's competitive edge by reducing IT expenses and concentrating on medical practice, the need to establish a u-Hospital using advanced IT technology is rapidly rising. This paper implements an RFID based u-Hospital system by using ubiquitous computing technology to design a location tracking device for all surgical patients, which can secure the patients' safety and increase the quality of medical service through interlocking hospital information systems.

An Application of Safety Management for Tunnel Construction Using RTLS Technology (RTLS기술을 이용한 터널공사현장의 실시간 안전관리 적용방안)

  • Kim, Dae-Won;Moon, Sung-Mo;Cho, Hun-Hee;Kang, Kyung-In
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.2
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    • pp.12-20
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    • 2011
  • Recently, construction site scale has been growing larger along with the growth of national economy. As construction market requires time reduction, cost saving, and improving quality, a cutting-edge technology applied research has been gradually studied for more efficient project management. In particular, the Real Time Location System (RTLS) technology, a real-time location tracking system of construction resources, can be effectively used in safety management. This technology has been studied and applied in various industries including architectural, marine, urban, and other industries. However, although tunnel construction in civil engineering has a narrow space and many safety risks, there are not researched about this content. Therefore, this study proposes an advanced safety management model for tunnel construction using the RTLS technology and a measurement method of the feasibility of this model in the construction site.

Musical Score Recognition Using Hierarchical ART2 Algorithm (Hierarchical ART2 알고리즘을 이용한 악보 인식)

  • Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.10
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    • pp.1997-2003
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    • 2009
  • Methods for effective musical score recognition and efficient editing of musical scores are demanded because functions of computers for researches on musical activities become more and more important parts in recent days. In the conventional methods for handling musical scores manually, there are weak points such as incorrect score symbols in input process and requirement of much time to adjust the incorrect symbols. And also there is another weak point that the scores edited by each application program can be remodified by a specific application program only. In this paper, we proposed a method for automatic musical score recognition of printed musical scores in order to make up for the weak points. In the proposed method, staffs in a scanned score image are eliminated by horizontal histogram, noises are removed by 4 directional edge tracking algorithm, and then musical score symbols are extracted by using Grassfire algorithm. The extracted symbols are recognized by hierarchical ART2 algorithm. In order to evaluate the performance of the proposed method, we used 100 musical scores for experiment. In the experiment, we verified that the proposed method using hierarchical ART2 algorithm is efficient.

Container Identifier Recognition Using Morphological Features and FCM-Based Fuzzy RBF Network (형태학적 특성과 FCM 기반 퍼지 RBF 네트워크를 이용한 컨테이너 식별자 인식)

  • Kim, Kwang-Baek;Kim, Young-Ju;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.6
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    • pp.1162-1169
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    • 2007
  • In this paper, we proposed a container identifier recognition method for containers used in harbors. After converting a real container image to a gray image, edges are detected from the gray image applying Prewitt mask and candidate identifier area is extracted using morphological features of individual identifier for identifying containers. Because noises are included in the extracted candidate identifier area, noises are eliminated and each identifier is separated using 4-directional edge tracking algorithm and Grassfire algorithm. Each identifier in the noise-free candidate identifier area is recognized using FCM-based row RBF network for discriminating containers. We used 300 real container images for experiment to evaluate the performance of the proposed method, and we could verify the proposed method is better than a conventional method.

Recognition of Finger Language Using FCM Algorithm (FCM 알고리즘을 이용한 지화 인식)

  • Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.6
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    • pp.1101-1106
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    • 2008
  • People who have hearing difficulties suffer from satisfactory mutual interaction with normal people because there are little chances of communicating each other. It is caused by rare communication of people who have hearing difficulties with normal people because majority of normal people can not understand sing language that is represented by gestures and is used by people who have hearing difficulties as a principal way of communication. In this paper, we propose a recognition method of finger language using FCM algorithm in order to be possible of communication of people who have hearing difficulties with normal people. In the proposed method, skin regions are extracted from images acquired by a camera using YCbCr and HSI color spaces and then locations of two hands are traced by applying 4-directional edge tracking algorithm on the extracted skin lesions. Final hand regions are extracted from the traced hand regions by noise removal using morphological information. The extracted final hand regions are classified and recognized by FCM algorithm. In the experiment using images of finger language acquired by a camera, we verified that the proposed method have the effect of extracting two hand regions and recognizing finger language.