• 제목/요약/키워드: Image tracking system

검색결과 856건 처리시간 0.028초

디지털 화상처리에 의한 해양유출기름확산 계측기법개발에 관한 연구 (A Study on a Development of a Measurement Technique for Diffusion of Oil Spill in the Ocean)

  • 이중우;강신영;도덕희;김기철
    • 한국항만학회지
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    • 제12권2호
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    • pp.291-302
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    • 1998
  • A digital image processing technique which is able to be used for getting the velocity vector distribution of a surface of the spilt oil in the ocean without contacting the flow itself. This technique is based upon the PIV(Particle Imaging Velocimetry) technique and its system mainly consists of a high sensitive camera, a CCD camera, an image grabber, and a host computer in which an image processing algorithm is adopted for velocity vector acquisition. For the acquisition of the advective velocity vector of floating matters on the ocean, a new multi-frame tracking algorithm is proposed, and for the acquisition of the diffusion velocity vector distribution of the spilt oil onto the water surface, a high sensitive gray-level cross-correlation algorithm is proposed.

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유클리디안 척도를 이용한 차량 추적 (Vehicle Tracking using Euclidean Distance)

  • 김규영;김재호;박장식;김현태;유윤식
    • 한국전자통신학회논문지
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    • 제7권6호
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    • pp.1293-1299
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    • 2012
  • 본 논문에서는 실시간 차량 검출 및 차량 추적에 대한 알고리즘을 제안한다. 차량 검출은 도로에 설치된 고해상도 CCTV 카메라 영상에 대해 가우시안 혼합모델과 수학적 형태학 처리를 통하여 수행한다. 차량 추적은 검출한 차량 객체를 기반으로 영상 프레임 간 유클리디안 척도를 이용하여 수행한다. 보다 상세히 언급하면, CCTV 카메라로부터 입력되는 영상으로부터 가우시안 혼합모델을 이용하여 배경을 추정하고, 배경영상과 입력영상의 차영상으로부터 객체를 분리한다. 분리된 후보 객체를 수학적 형태학 처리를 통하여 재구성한다. 터널에서의 차량의 위치에 따른 크기 특징을 분석하여 최종적으로 차량을 검출한다. 차량 추적은 입력되는 영상 프레임간 객체들의 유클리디안 거리 정보를 활용한다. 터널에서 촬영한 영상을 이용한 시뮬레이션을 통하여 제안하는 차량 추적방법이 효과적으로 적용할 수 있음을 확인하였다.

Design of Fuzzy Logic System for Mobile Robot based on Visual Servoing

  • Song, Un-Ji;Yoo, Seog-Hwan;Choi, Byung-Jae
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.113-117
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    • 2005
  • This paper describes a visual control scheme, fuzzy logic system for visual servoing of an autonomous mobile robot. An existing communication autonomous mobile robot always needs to keep the object in image to detect the moving object. This is a problem in an autonomous mobile robot for spontaneous activity. To solve it, some features for an object are taken from an image and then use in the design of fuzzy logic system for decision of moving location and direction of visual servoing contrivance(apparatus). So continuous tracking is possible by moving the visual servoing contrivance. We present some simulation results and further studies in the Section of Simulation and Concluding Remarks.

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Adaptive Real-Time Ship Detection and Tracking Using Morphological Operations

  • Arshad, Nasim;Moon, Kwang-Seok;Kim, Jong-Nam
    • Journal of information and communication convergence engineering
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    • 제12권3호
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    • pp.168-172
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    • 2014
  • In this paper, we propose an algorithm that can efficiently detect and monitor multiple ships in real-time. The proposed algorithm uses morphological operations and edge information for detecting and tracking ships. We used smoothing filter with a $3{\times}3$ Gaussian window and luminance component instead of RGB components in the captured image. Additionally, we applied Sobel operator for edge detection and a threshold for binary images. Finally, object labeling with connectivity and morphological operation with open and erosion were used for ship detection. Compared with conventional methods, the proposed method is meant to be used mainly in coastal surveillance systems and monitoring systems of harbors. A system based on this method was tested for both stationary and non-stationary backgrounds, and the results of the detection and tracking rates were more than 97% on average. Thousands of image frames and 20 different video sequences in both online and offline modes were tested, and an overall detection rate of 97.6% was achieved.

그래픽 이미지의 움직임 속도와 방향 변화에 따른 시선 이동 추적 연구 (A Study on Eye-Tracking by Speed & Direction Changes of Graphic Images)

  • 김세화;성치경
    • 커뮤니케이션디자인학연구
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    • 제38권
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    • pp.80-90
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    • 2012
  • 본 연구는 그래픽 이미지의 움직임 속도와 움직임 방향 변화에 따라 안구의 시선이동 변화를 추적하여 주의유인정도가 있는지를 알아본 연구이다. 실험설계는 움직임 속성별로, 속도(4개), 방향(수평 2개, 수직 2개, 대각선 4개) 각각에 대해서 움직임 요인(n)에 대한 분석을 실시하였다. 종속변수는 주시시작시간, 주시지속시간, 전체주시시간, 시선이동거리로 설정하였다. 그래픽 이미지의 움직임 속도 변화는 시선이동으로 알아본 주의 정도가 전혀 유의미하지 않았다. 좌우 이동에서는 좌에서 우로의 움직임이, 상하 이동에서는 아래에서 위로의 움직임이 주의 정도가 더 큰 것으로 나타났다. 대각선 이동에서는 속도 변화와 마찬가지로 유의미한 차이가 없었다.

적응적인 스테레오 카메라 기반의 팬/틸트 제어를 통한 표적 감시-추적 시스템 (Stereo Camera-based Target Surveillance-Tracking System through an adaptive Pan/tilt Control)

  • 조도현;고정환;원영진
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2005년도 추계종합학술대회
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    • pp.1269-1272
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    • 2005
  • In this paper, a new intelligent moving target tracking and surveillance system basing on the pan/tilt-embedded stereo camera system is suggested and implemented. In the proposed system, once the face area of a target is detected from the input stereo image by using a YCbCr color model and then, using this data as well as the geometric information of the tracking system, the distance and 3D information of the target are effectively extracted in real-time.

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비접촉식 실시간 6자유도 운동계측시스템 (Non-contact Realtime 6D-Motion Tracking System)

  • 조용범;편용범;도덕희;조효제
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.479-484
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    • 2003
  • A non-contact 6D motion tracking system is proposed. The system consists of two color cameras, a color image grabber and a host computer, Motions of a floating vessel was measured by the constructed system. The instantaneous forces of the floating vessel are analyzed. The floating vessel was put on the water in a small water container in free conditions. The measured forces are reconstructed by the measurement results. The system can be used to non-contact measurements for 6D dynamic analysis of floating vessels.

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영역 기반의 SAD 알고리즘과 광 BPEJTC를 이용한 실시간 스테레오 물체 추적 시스템 (Real-Time Stereo Object Tracking System using Area-based SAD Algorithm and Optical BPEJTC)

  • 이재수
    • 한국통신학회논문지
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    • 제25권10B호
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    • pp.1821-1831
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    • 2000
  • 본 논문에서는 스테레오 물체추적 시스템의 새로운 접근 방법으로 영역기반의 정합인 SAD를 사용하여 복잡한 배경 및 전경에서 추적 물체를 인식하여 추출하고, 광 BPEJTC를 사용하여 주시각 및 카메라의 팬/틸트를 제어하는 실시간 스테레오 물체추적 시스템을 제안하였다. 본 논문에서 제안한 스테레오 물체 추적 시스템은 복잡한 배경 및 주위환경 변화에서도 추적 물체를 정확히 추출하여 적응적으로 스테레오 물체 추적이 가능함을 실험을 통해 확인하였으며, 광학적으로 구성함으로써 스테레오 자동 물체 추적기의 실시간적 구현 가능성을 제시하였다.

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On Addressing Network Synchronization in Object Tracking with Multi-modal Sensors

  • Jung, Sang-Kil;Lee, Jin-Seok;Hong, Sang-Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제3권4호
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    • pp.344-365
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    • 2009
  • The performance of a tracking system is greatly increased if multiple types of sensors are combined to achieve the objective of the tracking instead of relying on single type of sensor. To conduct the multi-modal tracking, we have previously developed a multi-modal sensor-based tracking model where acoustic sensors mainly track the objects and visual sensors compensate the tracking errors [1]. In this paper, we find a network synchronization problem appearing in the developed tracking system. The problem is caused by the different location and traffic characteristics of multi-modal sensors and non-synchronized arrival of the captured sensor data at a processing server. To effectively deliver the sensor data, we propose a time-based packet aggregation algorithm where the acoustic sensor data are aggregated based on the sampling time and sent to the server. The delivered acoustic sensor data is then compensated by visual images to correct the tracking errors and such a compensation process improves the tracking accuracy in ideal case. However, in real situations, the tracking improvement from visual compensation can be severely degraded due to the aforementioned network synchronization problem, the impact of which is analyzed by simulations in this paper. To resolve the network synchronization problem, we differentiate the service level of sensor traffic based on Weight Round Robin (WRR) scheduling at the routers. The weighting factor allocated to each queue is calculated by a proposed Delay-based Weight Allocation (DWA) algorithm. From the simulations, we show the traffic differentiation model can mitigate the non-synchronization of sensor data. Finally, we analyze expected traffic behaviors of the tracking system in terms of acoustic sampling interval and visual image size.

착용형 시선 추적 장치의 스포츠 분야 적용을 위한 적외선 조명 변화 최소화에 관한 연구 (A Study on an Infrared Illumination Stabilization Method in a Head Mounted Eye Tracking System for Sport Applications)

  • 이상철
    • 제어로봇시스템학회논문지
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    • 제15권3호
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    • pp.265-272
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    • 2009
  • In this paper, a simple optical method that uses an infrared(IR) cut filter is proposed to minimize variation of eye image by external infrared(IR) sources in a video based head mounted eye tracking system that is used in the field of sports. For this, the IR cut filter is attached to a head mount of the eye tracking system, and the camera with an IR LED is located between the IR cut filter and eye. In this structure, external IR is blocked by the IR cut filter, and the IR intensity on the eye can be controlled by the IR LED. Therefore, the illumination condition of the camera to capture the eye can be stable without being affected by external IR illuminations. To verify the proposed idea, variation of the eye image and intensity of the IR with/without the IR cut filter is measured under various illumination conditions. The measured data show that the IR cut filter method can block external IR effectively, and complex pupil detection algorithms can be replaced by a simple binarized method.