• 제목/요약/키워드: Image tracking system

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이동 객체 추적을 위한 움직임 영역 검출 (Moving area detection for moving object tracking)

  • 오명관;최동진;전병민
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2003년도 추계종합학술대회 논문집
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    • pp.281-284
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    • 2003
  • 본 연구에서는 이동 객체 추적 시스템의 전처리 과정으로 움직임 영역을 검출하는 방법을 제안한다. 연속되는 영상으로부터 시간적으로 차이가 있는 두 개의 프레임을 얻은 후 이들의 이진 차영상을 구함으로서 움직임 영역을 검출한다. 차영상을 이용하는 경우 이전 프레임에서의 객체 영역과 현재 프레임에서의 객체 영역이 모두 검출된다. 추적 시스템에서는 카메라의 이동에 따라 배경이 변화되기 때문에 어느 영역이 객체의 현재 위치인지를 결정하는 방법이 필요하다. 이를 위해 본 연구에서는 현재 프레임의 이진 에지영상을 구하고 이것을 차영상과 논리적인 AND 연산을 수행한다. 실험 결과 이동 객체의 움직임 영역을 정확히 검출할 수 있음을 확인할 수 있었다.

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Visual Target Tracking and Relative Navigation for Unmanned Aerial Vehicles in a GPS-Denied Environment

  • Kim, Youngjoo;Jung, Wooyoung;Bang, Hyochoong
    • International Journal of Aeronautical and Space Sciences
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    • 제15권3호
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    • pp.258-266
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    • 2014
  • We present a system for the real-time visual relative navigation of a fixed-wing unmanned aerial vehicle in a GPS-denied environment. An extended Kalman filter is used to construct a vision-aided navigation system by fusing the image processing results with barometer and inertial sensor measurements. Using a mean-shift object tracking algorithm, an onboard vision system provides pixel measurements to the navigation filter. The filter is slightly modified to deal with delayed measurements from the vision system. The image processing algorithm and the navigation filter are verified by flight tests. The results show that the proposed aerial system is able to maintain circling around a target without using GPS data.

랜덤한 시간 지연 요소를 갖는 영상 추적 시스템의 제어 (Control of Visual Tracking System with a Random Time Delay)

  • 오남규;최군호
    • 반도체디스플레이기술학회지
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    • 제10권3호
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    • pp.21-28
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    • 2011
  • In recent years, owing to the development of the image processing technology, the research to build control system using a vision sensor is stimulated. However, a random time delay must be considered, because it works of a various time to get a result of an image processing in the system. It can be seen as an obstacle factor to a control of visual tracking in real system. In this paper, implementing two vision controllers each, first one is made up PID controller and the second one is consisted of a Smith Predictor, the possibility was shown to overcome a problem of a random time delay in a visual tracking system. A number of simulations and experiments were done to show the validity of this study.

Design and Implementation of UAV System for Autonomous Tracking

  • Cho, Eunsung;Ryoo, Intae
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권2호
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    • pp.829-842
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    • 2018
  • Unmanned Aerial Vehicle (UAV) is diversely utilized in our lives such as daily hobbies, specialized video image taking and disaster prevention activities. New ways of UAV application have been explored recently such as UAV-based delivery. However, most UAV systems are being utilized in a passive form such as real-time video image monitoring, filmed image ground analysis and storage. For more proactive UAV utilization, there should be higher-performance UAV and large-capacity memory than those presently utilized. Against this backdrop, this study described the general matters on proactive software platform and high-performance UAV hardware for real-time target tracking; implemented research on its design and implementation, and described its implementation method. Moreover, in its established platform, this study measured and analyzed the core-specific CPU consumption.

비전센서를 이용한 용접선 자동추적에 관한 연구 (A Study on Automatic Seam Tracking using Vision Sensor)

  • 조택동;양상민;전진환
    • Journal of Welding and Joining
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    • 제16권6호
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    • pp.68-76
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    • 1998
  • A CCD camera with a laser stripe was applied to realized the automatic weld seam tracking. The 3-dimensional information obtained from the vision system made it possible to generate the weld torch path. The adaptive Hough transformation was used to extract laser stripes an to obtain specific weld points. It takes relatively long time to process image on-line control using the basic control using the basic Hough transformation, but it has a tendency of robustness over the noises such as spatter. For this reason, it was complemented with adaptive Hough transformation to have an on-line processing ability for scanning specific weld points. The dead zone, where the sensing of weld line is impossible, was eliminated by rotating the camera with its rotating axis centered at the weld torch. When weld lines were detected, the camera angle was controlled in order to get the minimum image data for sensing of weld lines. Consequently, the image processing time was reduced.

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비전센서를 이용한 자동추적장치에 관한 연구 (A Study on Automatic Seam Tracking using Vision Sensor)

  • 전진환;조택동;양상민
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 추계학술대회 논문집
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    • pp.1105-1109
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    • 1995
  • A CCD-camera, which is structured with vision system, was used to realize automatic seam-tracking system and 3-D information which is needed to generate torch path, was obtained by using laser-slip beam. To extract laser strip and obtain welding-specific point, Adaptive Hough-transformation was used. Although the basic Hough transformation takes too much time to process image on line, it has a tendency to be robust to the noises as like spatter. For that reson, it was complemented with Adaptive Hough transformation to have an on-line processing ability for scanning a welding-specific point. the dead zone,where the sensing of weld line is impossible, is eliminated by rotating the camera with its rotating axis centered at welding torch. The camera angle is controlled so as to get the minimum image data for the sensing of weld line, hence the image processing time is reduced. The fuzzy controller is adapted to control the camera angle.

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Mapping of Real-Time 3D object movement

  • Tengis, Tserendondog;Batmunkh, Amar
    • International Journal of Internet, Broadcasting and Communication
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    • 제7권2호
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    • pp.1-8
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    • 2015
  • Tracking of an object in 3D space performed in real-time is a significant task in different domains from autonomous robots to smart vehicles. In traditional methods, specific data acquisition equipments such as radars, lasers etc, are used. Contemporary computer technology development accelerates image processing, and it results in three-dimensional stereo vision to be used for localizing and object tracking in space. This paper describes a system for tracking three dimensional motion of an object using color information in real time. We create stereo images using pair of a simple web camera, raw data of an object positions are collected under realistic noisy conditions. The system has been tested using OpenCV and Matlab and the results of the experiments are presented here.

MgF2 나노구조 반사방지막을 통한 함정용 전자광학추적장비 영상추적간섭 최소화 (Image Tracking Interference Minimize of Electro Optical Tracking System by MgF2 Nano Structure Antireflective Coating Films)

  • 심보현;조희진
    • 전자공학회논문지
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    • 제52권5호
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    • pp.206-213
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    • 2015
  • 함정용 전자광학추적장비의 센서부에서 해수면반사파에 의해 발생하게 되는 영상추적간섭 현상을 최소화하고자 전방향성, 점진적인 굴절률 및 표면 요철구조를 갖는 산화아연에 플루오르화마그네슘을 코팅한 반사방지막을 전자빔 증착 장비를 통해 제작하였다. 최적화된 산화아연에 플루오르화마그네슘을 코팅한 반사방지막은 기존의 산화아연 반사방지막과 비교하여 점진적인 굴절률 변화에 따라 표면 프레넬 반사를 최소화하고 이를 통해 전자광학추적장비의 영상추적간섭 현상을 제거하는 장점이 있다. 본 실험을 통해, 산화아연에 플루오르화마그네슘을 코팅한 반사방지막이 다양한 전자광학장비의 반사방지막으로써 적용이 가능함을 확인하였다.

다중차량 추적시스템의 예측 알고리듬 비교 (Comparison of Prediction Algorithms in Tracking System of Multiple Vehicles)

  • 김인행;김회율
    • 한국항행학회논문지
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    • 제3권2호
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    • pp.156-166
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    • 1999
  • 다중차량 추적시스템에서 칼만 필터는 차량을 추적하기 위하여 일반적으로 사용되는 예측 알고리듬이다. 칼만 필터는 제한된 조건에서 최적의 결과를 나타내는 좋은 특성이 있으나 계산량이 많아 다수의 차량을 실시간으로 추적해야 하는 다중차량 추적시스템에서의 구현은 다소 어려운 단점이 있다. 본 논문에서는 실시간 다중차량 추적시스템의 구현을 위해 비교적 계산이 간단한 순환최소자승 알고리듬을 횡구조의 필터에 적용한 적응 예측기를 도입한다. 칼만 필터를 이용한 추적시스템과 성능을 비교 분석하기 위하여 컴퓨터 그래픽 도구로 제작된 가상 연속영상과 실제 교차로에서 촬영한 동영상을 이용하였다. 모의실험 결과는 본 논문에서 제안한 다중차량 추적시스템이 전용하드웨어 없이 일반 개인용 컴퓨터 환경 하에서 초당 30프레임의 속도로 촬영한 영상의 차량을 실시간으로 추적하는데 사용될 수 있음을 보여준다.

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Tracking of an Object using Image Processing through JAVA

  • Chang, Ho-Ji;Lee, Dong-Youp;Jeong, Seung-Gweon;Chang, Yu-Shin;Lee, Man-Hyung;Bae, Jong-Il
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.131.2-131
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    • 2001
  • This paper's purpose i to obtain tracking information of an object using a camera. This system embodies to know tracking information of an object using Kalman filtering. As we use java program, it is possible to make system regardless of operating system, set up the system. We used an comfortable USB port camera everywhere without the capture board. We can use the internet by using the applet and JMF everywhere. We regard the camera as fixed.

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