• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.10C
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• pp.813-819
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• 2008

In this paper, we implemented a real-time system which displays 3-dimensional (3D) stereoscopic image with stereo camera. The system consists of a set of stereo camera, FPGA board, and 3D stereoscopic LCD. Two CMOS image sensor were used for the stereo camera. FPGA which processes video data was designed with Verilog-HDL, and it can accommodate various resolutional videos. The stereoscopic image is configured by two methods which are side-by-side and up-down image configuration. After the left and right images are converted to the type for the stereoscopic display, they are stored into SDRAM. When the next frame is inputted into FPGA from two CMOS image sensors, the previous video data is output to the DA converter for displaying it. From this pipeline operation, the real-time operation is possible. After the proposed system was implemented into hardware, we verified that it operated exactly.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.1
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• pp.89-101
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• 2015

This paper proposes a statistical model of 3-D positions when tracking moving targets using the uncooled infrared (IR) stereo camera system. The proposed model is derived from two errors. One is the position error which is caused by the sampling pixels in the digital image. The other is the timing jitter which results from the irregular capture-timing in the infrared cameras. The capture-timing in the IR camera is measured using the jitter meter designed in this paper, and the observed jitters are statistically modeled as Gaussian distribution. This paper derives an integrated probability distribution by combining jitter error with pixel position error. The combined error is modeled as the convolution of two error distributions. To verify the proposed statistical position error model, this paper has some experiments in tracking moving objects with IR stereo camera. The 3-D positions of object are accurately measured by the trajectory scanner, and 3-D positions are also estimated by stereo matching from IR stereo camera system. According to the experiments, the positions of moving object are estimated within the statistically reliable range which is derived by convolution of two probability models of pixel position error and timing jitter respectively. It is expected that the proposed statistical model can be applied to estimate the uncertain 3-D positions of moving objects in the diverse fields.

• The KIPS Transactions:PartD
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• v.10D no.2
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• pp.337-342
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• 2003

In this paper, a web based remote control system located at too dangerous field to access for the worker. The system was designed and implemented for three-dimensional stereo camera connected to web server which can be controlled easily by client side person working in the safe monitoring room. The user in the client side can control the vergence/focus control and zoom-in/out and pan/tilt functions through an user interface. The user interface for remote control environment was designed and implemented with Java applet mechanism, and was tested the operation result of the system.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.330-333
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• 2010

본 논문은 인간의 시각체계를 모방한 스테레오 비전 시스템을 이용해 물체까지의 거리를 측정하는 방법을 제안한다. 기존 연구에서의 거리 측정 방법은 스테레오 카메라의 중복 영역 중에서 광축 내부에 물체가 위치했을 경우에만 측정 가능하다는 단점이 있다. 그래서 본 논문에서는 두 카메라의 중복영역 중에서 광축 외부에 물체가 위치했을 경우에 그 물체까지의 거리를 측정하는 방법을 제안 한다. 본 논문에서 제안한 거리 측정 방법을 확인하기 위해 시뮬레이션을 실행하였다. 시뮬레이션 실험 결과 제안된 거리 측정 방법의 정확성을 확인하였다.

• Proceedings of the SAREK Conference
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• 2006.11a
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• pp.109-109
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• 2006

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.347-352
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• 2012

In this paper, an 2D spatial-map construction for workers identification and avoidance of AGV using the detection scheme of the spatial coordinates based on stereo camera is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity map obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth map can be detected. From some experiments on AGV driving with 240 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the worker's width is found to be very low value of 2.19% and 1.52% on average.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.115-121
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• 2017

In this paper, the intelligent vision system for an effective and intelligent path-planning of an industrial AGV system based on stereo camera system is proposed. The depth information and disparity map are detected in the inputting images of a parallel stereo camera. The distance between the industrial AGV system and the obstacle detected and the 2D path coordinates obtained from the location coordinates, and then the relative distance between the obstacle and the other objects obtained from them. The industrial AGV system move automatically by effective and intelligent path-planning using the obtained 2D path coordinates. From some experiments on AGV system driving with the stereo images, it is analyzed that error ratio between the calculated and measured values of the distance between the objects is found to be very low value of 2% on average, respectably.

• Journal of Broadcast Engineering
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• v.13 no.5
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• pp.596-601
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• 2008

In this paper, we propose a new scheme to generate region-of-interest (ROI) enhanced depth maps in the hybrid camera system, which is composed of a low-resolution depth camera and a high-resolution stereoscopic camera. The proposed method creates an ROI depth map for the left image by carrying out a three-dimensional (3-D) warping operation onto the depth information obtained from the depth camera. Then, we generate a background depth map for the left image by applying a stereo matching algorithm onto the left and right images captured by the stereoscopic camera. Finally, we merge the ROI map with the background one to create the final depth map. The proposed method provides higher quality depth information on ROI than the previous methods.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.89-90
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• 2008

본 논문은 네트워크를 통해서 이동로봇을 원격제어하기 위해 필요한 비전 시스템에서 HMD(Head Mounted Display)의 방향각 측정 알고리즘에 관한 연구이다. 우선 이 이동로봇 원격제어 시스템은 AP와 무선랜을 이용하여 독립 무선 네트워크를 구축하였고 이동로봇의 주변 환경을 레이저 센서와 스테레오 카메라를 이용하여 사용자에게 정보를 전송한다. 스테레오 카메라를 통해 전송된 영상 정보는 HMD를 통하여 볼 수 있다. 실시간으로 영상 카메라에 의해 측정 된 HMD의 회전 각도는 pen-tilt에 전송되어 HMD가 회전한 만큼 pen-tilt도 회전하여 이동로봇의 주변 환경 영상정보를 얻을 수 있는 알고리즘을 제안하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.6C
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• pp.593-603
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• 2009

In this paper, we propose a new integrated computer vision system designed to track multiple human beings and extract their silhouette with an active stereo camera. The proposed system consists of three modules: detection, tracking and silhouette extraction. Detection was performed by camera ego-motion compensation and disparity segmentation. For tracking, we present an efficient mean shift based tracking method in which the tracking objects are characterized as disparity weighted color histograms. The silhouette was obtained by two-step segmentation. A trimap is estimated in advance and then this was effectively incorporated into the graph cut framework for fine segmentation. The proposed system was evaluated with respect to ground truth data and it was shown to detect and track multiple people very well and also produce high quality silhouettes. The proposed system can assist in gesture and gait recognition in field of Human-Robot Interaction (HRI).