• 제목/요약/키워드: movement image

검색결과 1,069건 처리시간 0.027초

Measurement of position based on correlative function in self-movement

  • Amano, Naoki;Hashimoto, Hiroshi;Higashiguchi, Minoru
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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    • pp.601-604
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    • 1994
  • This paper describes an effective method to estimate a position of an automous vehicle equipped with a single CCD-camera along indoor passageways. Using the sequential image data from the self-movement of the vehicle, the position is estimated by integrating the approximated motion parameters. The detection of the yaw angle that is one of the motion parameter is difficult in general, e.g. slip or error for noise, therefore the different detection is presented, which is, without shaft encoders, based on a projection function for 2D-image data and a cross-correlation function so as to be robust for noise. The approximated geometric function to estimate the position is used to reduce the computational effort. To verify the effectiveness of the method, the analysis and the computational results are shown through the simulations. Furthermore, the experimental results by using the test vehicle for the real indoor passageway are shown.

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BPEJTC 기술을 이용한 이동 표적 영역화 (Segmentation of a moving object using binary phase extraction joint transform correlator technology)

  • 원종권;차진우;이상이;류충상;김은수
    • 전자공학회논문지D
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    • 제34D권7호
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    • pp.88-96
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    • 1997
  • As the need of automatized system has been increased recently together with the development of industrial and military technologies, the adaptive real-time target detection technologies that can be embedded on vehicles, planes, ships, robots and so on, are hgihly demanded. Accordingly, this paper proposes a novel approach to detect and segment the moving targets using the binary phase extraction joint transform correlator (BPEJTC), the advanced image subtraction filter and convex hull processing. The BPEJTC which was used as a target detection unit mainly for target tracking compensating the camera movement. The target region has been detected by processing the successful three frames using the advanced image subtraction filter, and has become more accurate by applying the developed convex hull filter. As shown by some experimental results, it is expected that the proposed approaches for compensation of the camera movement and segmentationof of target region, can be used for th emissile guiddance, aero surveillance, automatic inspectin system as well as the target detection unit of automatic target recognition system that request adaptive real-time processing.

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On the Development of a Video Endoscope Having a Swallowable Insertion Tube

  • Wooshik Kim;Woo
    • 대한의용생체공학회:의공학회지
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    • 제14권3호
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    • pp.243-250
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    • 1993
  • An endoscope is a medical device which observes the inner surface of an organ inside a body. Recently, a new type of endoscope using a CCD image sensor has been developed and turned out to have many strong points over the conventional optical fiber endoscope system. A swallowable insertion tube is an insertion tube having so small a diameter that the head of the insertion tube can reach the end of stomach only by mechanical movement of the esphagus and stomach or the patient's external movement. This paper presents some of the results that the Institute of Biomedical Engineering at Seoul National University has obtained while developing an electronic endoscope having a swallowable insertion tube. After some of the features of the developed system are presented, some of the image processing techniaues are addressed.

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백화점의 고객동선과 VMD의 상관관계에 관한 고찰 (A Study on the Interrelation between Customer Movements and VMD in Department Stores)

  • 최영신;차소란;임채진
    • 한국실내디자인학회:학술대회논문집
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    • 한국실내디자인학회 2002년도 춘계학술발표대회 논문집
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    • pp.135-140
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    • 2002
  • In large commercial facilities, customer movements have a close interrelation between space structure and interior environment elements. With the importance of the spacial structure, VMD strategy has recently played greater role In the interior environment image to satisfy customers' needs. This study intends to examine the relationship among customer behavior, customer movement, and VMD by grasping customers shopping behavior characteristics that come from the relatively comprehensive factors in the female sections of the department stores through the environmental image that is composed of spatial and emotional elements. This study also serves the purpose that by tracking shopping time, shopping speed, and the ratio of shopping depth that directly reflects customer behavior characteristics, various causes, either general or specific, which can affect the decision on purchase are to be examined. Based on this research results, we bring up the basic data and foundation for floor MD plan, establishment of movement plan, and VMD plan at a store.

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Implementation of Dynamic Character Art using Image Association

  • Lim, Sooyeon
    • International Journal of Advanced Culture Technology
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    • 제7권3호
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    • pp.52-57
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    • 2019
  • This study is about the creation of a character art using the free association. Character in proposed artwork induces the viewer's unconscious experience associated with it and creates new meanings to invigorate the character. When a character that performs both a linguistic function and a visual image function goes through a free association process, the viewer can induce interest and convey the meaning of the character more effectively. We proposed two ways to express the dynamic movement of the character more actively. One is drawing using various colors and free lines, and the other is the movement of the character synchronized with the gesture of the viewer. As a result of implementing dynamic character art, we can see that the viewer was actively involved in the free association process and immersed in the artwork. The viewers participated in the creation of the artwork, changing the shape of the character according to their various gestures.

임의의 외란에 대한 영상 안정화 (Image Stabilization Scheme for Arbitrary Disturbance)

  • 곽휘권
    • 한국산학기술학회논문지
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    • 제15권9호
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    • pp.5750-5757
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    • 2014
  • 본 논문은 의도하지 않게 카메라에 입력되는 회전, 병진 움직임뿐만 아니라 확대 축소에 의한 움직임을 SIFT 기법을 이용하여 추정하고 제거하는 영상 안정화 기법을 제시한다. 또한 영상 분할 및 통합 방법을 이용하여 움직이는 물체가 영상에 입력되었을 경우에도 이러한 외란을 제거하고 영상 안정화를 수행하도록 한다. 제시된 방법은 다른 방법과 결과를 비교하는 실험을 수행하여 성능이 우수함을 검증한다.

영상정보를 이용한 돼지의 비접촉 체중계측시스템 인자 구명 (Identification of Discrimination Factors for a Pig Noncontact Weighing System Using Image Data)

  • 장동일;임영일;임정택;장요한;장홍희
    • 한국축산시설환경학회지
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    • 제5권2호
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    • pp.93-100
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    • 1999
  • Pig's original image data was transformed to a binary image, an image excluding head and tail portion from the whole binary image, and a projected image associated with pig's height. Then the length of body, width of shoulder, and area of pig were calculated and the relationships among the above characteristics and pig's weight were analyzed. The results obtained from this study were as follows: 1. Whole binary image data was considered to be improper to determine the pig's weight because the movement of pig's head and tail portion affected the image data. 2. Binary image data excluding head and tail portion from the whole binary image showed a better estimation of the pig's weight than the whole binary image. 3. Pig's should width was analyzed to be improper factor to determine the pig's weight. 4. The projected image associated with pig's height showed the highest correlation between the pig's area of the image and pig's weight(R2=0.9965). From this research the projected image associated with pig's height, which is excluding head and tail portion from the whole body of pig's image, was considered to be the prime factor to measure the pig's weight by the noncontact measurement.

움직임 추정 기법을 이용한 움직이는 차량의 초고해상도 복원 알고리즘 (Super-Resolution Algorithm Using Motion Estimation for Moving Vehicles)

  • 김성훈;조상복
    • 대한전자공학회논문지SP
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    • 제49권4호
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    • pp.23-31
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    • 2012
  • 본 논문은 움직임이 큰 저해상도 영상을 초고해상도 영상으로 복원하는 움직임 추정기반의 초고해상도 알고리즘을 제안한다. 일반적인 실험영상에 비해 실제 사용되는 움직임이 큰 영상은 부화소 움직임을 찾기가 어렵다. 또한 일반 움직임 추정기법을 이용한 참조이미지와 후보이미지를 찾기 위해서는 매우 높은 계산 복잡도를 가지는 단점이 있다. 이러한 문제점을 보완하기 위해 기존의 2차원적 움직임 추정기법을 이용하여 제안한 임계값을 기준으로 등록 조건을 만족하는 참조이미지를 결정하고, 후보 이미지들 사이의 최소 가중치를 가진 최적의 후보 이미지들을 찾아 초고해상도 복원과정을 진행하는 새로운 영상 등록 알고리즘을 제안하였다. 실험 결과에 따르면, 제안한 기법은 평균 PSNR이 31.89dB로 전통적인 초고해상도 기법보다 높은 PSNR을 보이며 계산 복잡도도 향상되는 결과가 나타났다.

전방 자유면의 암반 이동에 관한 연구 (A Study on Movement of the Free Face During Bench Blasting)

  • 이기근;김갑수;양국정;강대우;허원호
    • 화약ㆍ발파
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    • 제30권2호
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    • pp.29-42
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    • 2012
  • 발파 시 자유면의 이동은 대상암반의 역학적 특성 및 발파조건, 특히 암반의 불연속면 특성과 폭약의 종류, 장약량, 저항선, 공간격, 공간 또는 열간 기폭시차 및 전색상태 등 여러 가지 변수들에 의해 달라지며, 이는 발파진동의 크기, 폭음 및 파쇄도에 커다란 영향을 미친다. 현재 국내 노천발파 현장의 발파설계는 대부분 인접 보안물건에 대한 안전성을 최우선으로 하고 있으나 대규모 발파가 이루어지는 노천현장에서는 발파 시 자유면의 이동을 분석하여 진동을 제어하고 파쇄도를 향상시키기 위한 최적 조건의 발파 설계를 하는 것은 매우 중요하다. 고속 디지털 동영상 분석을 통하여 발파 후 최초 자유면 암반의 움직임, 전색의 적정성, 발파암의 이동 궤적, 발파암의 이동방향과 속도, 최적의 기폭시스템 분석이 가능하다. 외국에서는 이와 같은 방법이 발파설계 및 평가를 위한 유용한 도구로 활용되고 있으나 국내에서는 그 연구가 미미하다. 따라서 본 연구는 디지털 고속 동영상 분석에 의한 최적 발파설계 및 평가에 대한 기초적인 연구를 수행하였다. 셰일과 화강암으로 구성된 대규모 노천 발파현장 2개소에서 Emulsion과 ANFO 두 종류 폭약에 대한 암반 파쇄과정을 촬영한 디지털 고속동영상을 분석하여 자유면 암반의 변위, 이동속도 등을 분석하고 2차원 유한요소 해석 프로그램인 AUTODYN을 사용하여 폭약의 폭굉압력, 폭굉 전달시간, 발파 후 최초로 암반에 변위가 발생되는 반응시간, 발파 후 자유면 암반의 이동형상에 대한 수치해석을 수행하였다. 수치해석 및 디지털 고속 동영상을 분석한 결과, 암반의 종류에 관계없이 발파공 전면 자유면 암반의 이동형상은 주상 장약부의 중간 부근에서 변위 및 이동속도가 가장 크게 발생되어 가운데 부분이 활처럼 휘어진 형상을 나타내었다. 폭약의 폭굉압력, 폭굉 전달시간, 발파 후 최초로 자유면 암반에 변위가 발생되는 반응시간의 경우 Emulsion 폭약이 ANFO보다 폭굉압력 및 폭속이 크고 초기 변위 반응시간이 빠르게 진행되는 것으로 분석되었다.

Motion Field Estimation Using U-Disparity Map in Vehicle Environment

  • Seo, Seung-Woo;Lee, Gyu-Cheol;Yoo, Ji-Sang
    • Journal of Electrical Engineering and Technology
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    • 제12권1호
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    • pp.428-435
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    • 2017
  • In this paper, we propose a novel motion field estimation algorithm for which a U-disparity map and forward-and-backward error removal are applied in a vehicular environment. Generally, a motion exists in an image obtained by a camera attached to a vehicle by vehicle movement; however, the obtained motion vector is inaccurate because of the surrounding environmental factors such as the illumination changes and vehicles shaking. It is, therefore, difficult to extract an accurate motion vector, especially on the road surface, due to the similarity of the adjacent-pixel values; therefore, the proposed algorithm first removes the road surface region in the obtained image by using a U-disparity map, and uses then the optical flow that represents the motion vector of the object in the remaining part of the image. The algorithm also uses a forward-backward error-removal technique to improve the motion-vector accuracy and a vehicle's movement is predicted through the application of the RANSAC (RANdom SAmple Consensus) to the previously obtained motion vectors, resulting in the generation of a motion field. Through experiment results, we show that the performance of the proposed algorithm is superior to that of an existing algorithm.