• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.2
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• pp.93-99
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• 2011

We introduce the application what using the MultiTouch-Table of the PC-mechanic Certification. Thesedays, People does't use the Mouse and Keyboard and use people gesture. We introduce Graphic and Image by addition. Theseday, MultiTouch-Table is so famous. We use it the multitouch-table to on 3D Maxs and C#. We help them to get the certification using the component Scale and Drags through the camera view and then include the PC-Mechanic question of domestic.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.11a
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• pp.678-682
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• 2000

The purpose of this study is to develop a powerful 6-axes general welding robot utilizing a low cost vision system. The developed vision system is composed of a CCD camera, a PC with windows 98 OS, and a PC-Robot communication program using Visual C++. A test was carried out to investigate whether the welding torch can precisely follow up the welding path. It shows that the result of this study can readily be applied to practical welding operations.

• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.102-104
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• 2004

Finger language is a typical tool for deaf persons. But learning the finger language for non-handicapped persons is very difficult. To overcome these difficulties, a new communication method using visual function is developed recently. Even though the developed system uses the visual function, it needs expensive equipments such as camera and computer. To be used in the real environments, the cost of equipments is a critical factor. If the recognition system for the finger language can be developed with low price equipments, the system can be used in the notebook or cellular phone. The image captured by PC camera was processed by preprocessing algorithm. To recognize the finger language, the resulting image was divide into $5{\times}5$ sections. The recognition system uses a similarity method and position information. The simulation results shows the effectiveness of the proposed algorithm.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.181-191
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• 2002

Video based surveillance systems based on an active camera require a fast algorithm for real time detection and tracking of local motion in the presence of global motion. This paper presents a new fast and efficient motion detection and tracking algorithm using the displaced frame difference (DFD). In the Proposed algorithm, first, a Previous frame is adaptively selected according to the magnitude of object motion, and the global motion is estimated by using only a few confident matching blocks for a fast and accurate result. Then, a DFD is obtained between the current frame and the selected previous frame displaced by the global motion. Finally, a moving object is extracted from the noisy DFD by utilizing the correlation between the DFD and current frame. We implement this algorithm into an active camera system including a pan-tilt unit and a standard PC equipped with an AMD 800MHz processor. The system can perform the exhaustive search for a search range of 120, and achieve the processing speed of about 50 frames/sec for video sequences of 320$\times$240. Thereby, it provides satisfactory tracking results.

• The Journal of the Convergence on Culture Technology
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• v.4 no.1
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• pp.291-297
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• 2018

In this paper, we present an automatic image object tracking system for Studio cameras on the stage. For object tracking, we use the OpenCV-based Python program using PC, Raspberry Pi 3 and mobile devices. There are many methods of image object tracking such as mean-shift, CAMshift (Continuously Adaptive Mean shift), background modelling using GMM(Gaussian mixture model), template based detection using SURF(Speeded up robust features), CMT(Consensus-based Matching and Tracking) and TLD methods. CAMshift algorithm is very efficient for real-time tracking because of its fast and robust performance. However, in this paper, we implement an image object tracking system for studio cameras based CMT algorithm. This is an optimal image tracking method because of combination of static and adaptive correspondences. The proposed system can be applied to an effective and robust image tracking system for continuous object tracking on the stage in real time.

• Progress in Medical Physics
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• v.15 no.3
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• pp.156-160
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• 2004

An essential quality assurance (QA) procedure in high dose rate (HDR) remote after-loading brachytherapy is that of the verification of the Ir-192 HDR source positioning accuracy. A number of methods using mechanical rulers or autoradiograph and video cameras have been reported to check the positional error of the Ir-192 source. In this study, the feasibility of a CMOS (Complementary Metal Oxide Semiconductor) PC camera, with a fluorescent screen, was investigated. The agreement between the planned and measured dwell position was better than 1 mm and dwell times better than 0.4 sec. Our results indicate that the CMOS PC camera system could be used as a QA tool for the on-line determination of the source position and dwell time.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.2
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• pp.295-301
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• 2018

Smartphone can save many data because it provide various function such as call, message, calendar, document, camera, and so on. They include a number of important things like personal information. Thus it is necessary to backup the data to deal with smartphone change and a threat like ransomware. In this paper, we analyze the backup method using PC among several backup methods and check the possibility of leakage of personal information such as contacts from backup file. It is expected to be used to check the problems of the PC backup method or to strengthen the more secure backup technology.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.377-380
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• 2001

본 논문에서는 실내에서 액티브 카메라를 사용하여 다중 인물의 얼굴의 위치를 검출하고. 추적할 수 있으며 조명과 배경 등의 영향에 강인한 추적 알고리즘을 제시하고자 한다. 알고리즘은 얼굴영역 검출, 추적의 2단계로 구성되며, 빠르고 효율적인 얼굴영역 검출은 추적 알고리즘의 성능향상으로 이어지므로, 이를 위해 독특한 색상영역 분포를 갖는 피부 색상 특징을 이용하였다. 표본영상에서 추출된 피부색상 픽셀들을 바탕으로 YCbCr 색상계를 사용하여 얼굴 색상모델을 구축한 후, Gaussian 함수를 사용하여 입력 영상의 픽셀과 얼굴색상모델과의 유사도를 결정하였다. 최종 얼굴 영역은 추출된 영역에 대한 얼굴의 타원특징, 해부학적 특징을 이용하여 결정된다. 추적은 추출된 얼굴영역과 temporal Gaussian 필터를 적용한 움직임 추정을 통한 움직임 검출의 조합으로 이루어진다. 또한, 예측버퍼의 사용으로 탐색영역의 축소로 인한 계산량 감소와 처리 속도의 증가시켰으며, pan/tilt가 가능한 카메라를 사용하여 상호 피드백이 가능하도록 하였다. 제시된 알고리즘은 PC 상에서 시뮬레이션되었으며, 좋은 결과를 얻을 수 있었다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.207-210
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• 2002

본 논문에서는 인간과 MR(Mobile Robot)이 일정한 거리를 유지하면서 인간을 추종할 수 있도록 퍼지 제어기를 이용한 지능적 추론 방법을 제안하였다. 로봇은 다중 초음파 센서와 PC 카메라를 사용하여 인간과 로봇의 거리와 위치를 인지하고 로봇의 진행 방향과 속도를 퍼지 추론하는 방법을 사용하였다. 먼저 초음파 센서와 카메라를 사용하여 주변 환경에 대한 정보를 획득하고 주변환경을 표현하는 것이 중요하다. 센서와 카메라에 의해 입수된 정보로부터 로봇을 제어할 수 있도록 속도와 방향을 이용하여 추론하고 로봇을 제어하였다. 논문에서 제안된 퍼지 로직 알고리듬의 유용성을 검증하기 위해 실제 Mobile Robot을 이용한 주행실험을 반복 시행하여 요구된 결과를 얻음으로써 퍼지로직 제어기의 우수성을 확인할 수 있었다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.11a
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• pp.183-185
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• 2018

방송제작을 위해 이제 필수 항목이 된 가상스튜디오는 비용이나 운용면에서 일반 스튜디오보다 어려운 점이많다. 따라서 HD 가상스튜디오를 구축할 때 저비용으로 시설을 변경하여 UHD 제작을 할 수 있는 가상스튜디오 환경을 고려하여 구축할 필요가 있다. 이를 위해 UHD 포맷까지 겸용 가능한 장비들로 가상스튜디오를 구축하였다. 또한 카메라의 움직임 트래킹 센서가 환경변화에도 정확한 위치 추적을 할 수 있는 광학적인 센서를 도입하였다. 즉, 천장에 원형 모양의 빛 반사 스티커를 랜덤하게 달아 한번 셋업하면 가상스튜디오 카메라를 어려움 없이 사용할 수 있도록 하였다. 또한 카메라 콘트롤러와 비디오 스위처 등도 하드웨어 대신에 PC기반의 운용소프트웨어를 설치하여 편리하게 운용할 수 있도록 하였다.