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검색결과 4,897건 처리시간 0.03초

무인 감시 시스템을 위한 이동물체 검출 알고리즘 (Moving Object Detection Algorithm for Surveillance System)

  • 임강모;이주신
    • 한국통신학회논문지
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    • 제30권1C호
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    • pp.44-53
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    • 2005
  • 본 논문에서는 무인 감시 시스템의 안정적인 성능을 위해서 배경 장면에서 일정 영역 내에서 반복적인 움직임이 발생하는 경우와 급격한 조도 변화가 발생한 경우에 이동물체 검출 성능을 개선하기 위한 알고리즘을 제안하였다. 제안한 알고리즘은 배경 영상을 초기화하기 위하여 배경 장면을 프레임 샘플링한 후, 샘플링 된 프레임들을 블록으로 각각 분할하여 각 블록 화소의 총 휘도 값을 계산하였다. 배경 영상의 초기화는 시간적으로 인접된 프레임들 사이에 동일 위치에 놓인 블록의 최대 휘도 값과 최소 휘도 값만을 선택하여 배경 프레임을 각각 재구성 하여 배경 기준 영상으로 놓았다. 이동물체 검출은 현재 영상 프레임을 블록으로 분할하여 각 블록 내의 화소들의 총 휘도 값을 계산하고, 계산된 값이 초기화 된 두 장의 기준 영상의 휘도 범위를 벗어나면 이동물체가 존재하는 블록으로 결정하고, 벗어나지 않으면 배경으로 판단하였다. 제안한 알고리즘의 타당성을 검토하기 위하여 실내 및 실외 환경에서 사람과 자동차를 대상으로 알고리즘의 성능을 평가한 결과, 제안한 방법의 에러율이 기존 방법들의 에러율보다 $0.01{\%}$에서 $20.33{\%}$까지 작아졌고 이동물체 검출율은 제안한 방법이 기존 방법보다 $0.17{\%}$에서 $22.83{\%}$까지 향상되어 제안한 방법의 우수함을 보였다.

대학생의 정보리터러시에 영향을 미치는 요인 분석 (Information Literacy: Identification of Factors Affecting Undergraduate Students)

  • 오의경;장혜란
    • 한국문헌정보학회지
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    • 제39권4호
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    • pp.207-231
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    • 2005
  • 선행연구를 고찰하여, 정보리터러시 관련 교육에 대한 노출, 각종 정보원에 대한 경험, 정보 이용 관련 교수진의 조언, 개인적 배경 등을 정보리터러시에 영향을 미치는 독립변인으로, 정보리터러시 태도와 실제 능력을 종속 변인으로 추출하고, 대학생을 대상으로 한 측정도구를 고안하여 조사를 수행한 후, 관련 요인의 현황과 요인간 관계 및 영향력 정도를 통계적으로 분석하였다. 정보리터러시의 개인별 집단별 차이, 낮은 도서관이용교육 노출과 교수진의 조언 등이 문제점으로 드러났으며, 컴퓨터와 인터넷 교육, 각종 정보원 이용 경험 성별과 전공계열 등이 정보리터러시에 영향을 미치는 요인으로 입증되었다. 연구결과에 기초하여 정보리터러시 향상을 위한 사회의 인식전환, 이용교육의 실질적 변화, 고등교육기관 및 관련 협회의 유기적 협력과 노력 등이 제안되었다.

Frequency-Temporal Filtering for a Robust Audio Fingerprinting Scheme in Real-Noise Environments

  • Park, Man-Soo;Kim, Hoi-Rin;Yang, Seung-Hyun
    • ETRI Journal
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    • 제28권4호
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    • pp.509-512
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    • 2006
  • In a real environment, sound recordings are commonly distorted by channel and background noise, and the performance of audio identification is mainly degraded by them. Recently, Philips introduced a robust and efficient audio fingerprinting scheme applying a differential (high-pass filtering) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the robustness of the audio fingerprinting scheme is still important in a real environment. In this letter, we introduce alternatives to the frequency-temporal filtering combination for an extension method of Philips' audio fingerprinting scheme to achieve robustness to channel and background noise under the conditions of a real situation. Our experimental results show that the proposed filtering combination improves noise robustness in audio identification.

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지리정보 시스템을 이용한 전국 염해 오손도 구축 방안 (The Development Plan of Salt Contamination Map Using GIS)

  • 강연욱;곽주식;심응보;유철환
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 추계학술대회 논문집 전력기술부문
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    • pp.377-379
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    • 2001
  • Contamination flashover is responsible for insulator electrical failures. Particularly, in Korea, with its perennially dry spring, the first spring rain often cause serious line outages by forming a conductive liquid film on the insulator surface. Rainwater and fog are not normally conductive but unfortunately atmospheric dust deposited on the insulator surface contains soluble salts which may lead to bad condition of insulation by combining watery and salts. Transmission design engineers have used a contamination map drawn on the traditional paper map. But it is not convenient because it does not include the information of Geographic Information accurately. This paper explains the newly developed salt contamination map program using Geographic Information System, which provide accurate geographic information. The program is designed to use four parts of datum, salt contamination levels, 345kV & 154 kV transmission lines, power plants & substations and background map. The digital background map is composed of raster files, the others are done by vector map.

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패턴 정보량에 따른 신경망을 이용한 영상분류 (Image Classificatiion using neural network depending on pattern information quantity)

  • 이윤정;김도년;조동섭
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.959-961
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    • 1995
  • The objective of most image proccessing applications is to extract meaningful information from one or more pictures. It is accomplished efficiently using neural networks, which is used in image classification and image recognition. In neural networks, background and meaningful information are processed with same weight in input layer. In this paper, we propose the image classification method using neural networks, especially EBP(Error Back Propagation). Preprocessing is needed. In preprocessing, background is compressed and meaningful information is emphasized. We use the quadtree approach, which is a hierarchical data structure based on a regular decomposition of space.

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The identity distinction of the moving objects using distance among hue normalization levels

  • Shin, Chang-hoon;Kim, Yun-ho;Lee, Joo-shin
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2004년도 춘계종합학술대회
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    • pp.591-594
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    • 2004
  • In this paper, The identity distinction of the moving objects using distance among hue normalization levels was proposed. Moving objects are detected by using difference image method and integral projection method to background image and objects image only with hue area. Hue information of the detected moving area are normalized by 24 levels from 0$^{\circ}$ to 360$^{\circ}$. A distance in between normalized levels with a hue distribution chart of the normalized moving objects is used for the identity distinction feature parameters of the moving objects. To examine proposed method in this paper, image of moving cars are obtained by setting up three cameras at different places every 1 km on outer motorway. The simulation results of identity distinction show that it is possible to distinct the identity a distance in between normalization levels of a hue distribution chart without background.

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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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    • 제15권1호
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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.

3차 볼테라 필터링과 VSSGS-PAP 알고리즘을 이용한 배경잡음 변화에 강인한 비선형 능동소음제어 시스템 (Nonlinear ANC system robust to background noise variation by using 3rd-order Volterra filtering with a VSSGS-PAP algorithm)

  • 서재범;김경재;남상원
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.70-72
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    • 2009
  • In this paper, nonlinear active noise control(ANC) of a 3rd-order Volterra system, which is robust to background noise variation, is proposed along with a variable step-size Gauss-Seidel pseudo affine projection(VSSGS-PAP) algorithm. Simulation results demonstrate that the proposed approach yields better nonlinear ANC performance in a background noise variation environment, compared with the conventional methods for the nonlinear ANC.

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복잡한 배경을 가진 영상 시퀀스에서의 이동 물체 검지 및 추적 (Moving Object Detection and Tracking in Image Sequence with complex background)

  • 정영기;호요성
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.615-618
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    • 1999
  • In this paper, a object detection and tracking algorithm is presented which exhibits robust properties for image sequences with complex background. The proposed algorithm is composed of three parts: moving object detection, object tracking, and motion analysis. The moving object detection algorithm is implemented using a temporal median background method which is suitable for real-time applications. In the motion analysis, we propose a new technique for removing a temporal clutter, such as a swaying plant or a light reflection of a background object. In addition, we design a multiple vehicle tracking system based on Kalman filtering. Computer simulation of the proposed scheme shows its robustness for MPEG-7 test image sequences.

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Effects of Prereading Treatments on Low Level EFL Readers' Comprehension of Expository Texts

  • Chin, Cheongsook
    • 영어어문교육
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    • 제16권3호
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    • pp.1-18
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    • 2010
  • This study examined the effects of previewing and providing background knowledge on low level EFL readers' comprehension of expository texts and their responses to these treatments. 130 college freshmen were randomly placed into one of three treatment groups and read two expository texts reflecting unfamiliar cultural information. Prior to reading, one group was given previewing instruction, which included vocabulary preteaching and summaries, and a second group was provided with culture-specific background knowledge through watching videos and slides. The third group read each text without any prereading instruction. Immediately after reading a passage, subjects answered a 10-item multiple-choice test. Results showed significant positive effects of the previewing treatment and weak positive effects of the providing background knowledge treatment. Students' responses on the questionnaires revealed that the majority felt that the experimental treatments contributed to comprehension enhancement, made reading more enjoyable, and expedited their reading process. Students in the control group, however, indicated that they needed explicit prereading instruction in order to understand the texts. Pedagogical implications of the findings for EFL reading instruction are provided.

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