• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2009년도 춘계학술대회
• /
• pp.627-630
• /
• 2009

해상용 Multi Sensor Surveillance System은 다양한 기술의 복합체로서 본 과제에서 개발하고자하는 Gyro Sensor based Servo Motion Control 알고리즘은 선박의 6자유도운동을 분석하여 그에 대응할 수 있는 Motion Control 동요안정화제어장치를 개발하는 것이며, Nano Driving Precision Pan-Tilt/Gimbal System은 초정밀 초고속으로 감시용 디바이스를 적시에 정확한 동작을 수행하게 해주는 필수적인 장비이다. 최종적으로 개발하고자 하는 분야는 해상용 Nano Driving Multi Sensor Surveillance System 중 Nano Driving Precision Pan-Tilt/Gimbal의 최적설계 및 제작, 3-axis Gyro Sensor based Servo Motion Control 알고리즘 개발, 영상추적 Video Tracking Software 및 Hardware의 개발 및 각 세부주관에서 개발한 각각의 장비를 하나의 시스템으로 통합하는 시스템 Integration 및 시험인증으로 하나의 시스템을 완성 하였다.

• 제어로봇시스템학회논문지
• /
• 제14권2호
• /
• pp.125-132
• /
• 2008

This paper describes a mobile inspection robot with an automatic pipe tracking system for a feeder pipe inspection in a PHWR. The robot is composed of two inch worm mechanisms. One is for a longitudinal motion along a pipe, and the other is for a rotational motion in a circumferential direction to access all of the outer surfaces of a pipe. The proposed mechanism has a stable gripping capability and is easy to install. An automatic pipe tracking system is proposed based on machine vision techniques to make the mobile robot follow an exact outer circumference of a curved feeder pipe as closely as possible, which is one of the requirements of a thickness measurement system for a feeder pipe. The proposed sensing technique is analyzed to attain its feasibility and to develop a calibration method for an accurate measurement. A mobile robot and control system are developed, and the automatic pipe tracking system is tested in a mockup of a feeder pipe.

• 스마트미디어저널
• /
• 제5권1호
• /
• pp.78-87
• /
• 2016

The major problems of recent object tracking methods are related to the inefficient detection of moving objects due to occlusions, noisy background and inconsistent body motion. This paper presents a robust method for the detection and tracking of a moving in infrared animal videos. The tracking system is based on adaptive optical flow generation, Gaussian mixture and Kalman filtering. The adaptive Gaussian model of optical flow (GMOF) is used to extract foreground and noises are removed based on the object motion. Kalman filter enables the prediction of the object position in the presence of partial occlusions, and changes the size of the animal detected automatically along the image sequence. The presented method is evaluated in various environments of unstable background because of winds, and illuminations changes. The results show that our approach is more robust to background noises and performs better than previous methods.

• 스마트미디어저널
• /
• 제6권3호
• /
• pp.49-56
• /
• 2017

Images and Videos that include the human face contain a lot of information. Therefore, accurately extracting human face is a very important issue in the field of computer vision. However, in real life, human faces have various shapes and textures. To adapt to these variations, A model-based approach is one of the best ways in which unknown data can be represented by the model in which it is built. However, the model-based approach has its weaknesses when the motion between two frames is big, it can be either a sudden change of pose or moving with fast speed. In this paper, we propose an enhanced human face-tracking model. This approach included human face detection and motion estimation using Cascaded Convolutional Neural Networks, and continuous human face tracking and modeling correction steps using the Active Appearance Model. A proposed system detects human face in the first input frame and initializes the models. On later frames, Cascaded CNN face detection is used to estimate the target motion such as location or pose before applying the old model and fit new target.

• International Journal of Precision Engineering and Manufacturing
• /
• 제7권2호
• /
• pp.18-24
• /
• 2006

This paper proposes a LuGre Model-Based Neural Network (MBNN) friction compensation algorithm for a linear motor stage. For matching the friction phenomena in both the motion-start region and the motion-reverse region, the LuGre dynamic model is employed into the proposed compensation algorithm. After training of the model-based neural network is completed, the estimated friction for compensation is obtained. From the obtained result we find that the new structure gains advantage over the non-friction compensation system on the performance of the compensator in both regions. The proposed compensator is evaluated and compared experimentally with an uncompensated system on a microcomputer controlled linear motor tracking system in the final section of the paper. The experimental results show the improvement on the maximum velocity error and the root mean square tracking error in the motion-start region ranges from 34% to 53% and from 53% to 75% respectively, and in the motion-reverse region from 48% to 65% and from 79% to 90% respectively.

• 디지털콘텐츠학회 논문지
• /
• 제16권1호
• /
• pp.157-164
• /
• 2015

기존의 대표적인 입력장치는 키보드, 마우스 등으로 한정적이었으나 최근 들어 사용자들의 다양한 요구에 따라 새로운 형태의 입력장치들이 개발되는 추세이다. 이러한 추세에 맞춰 특수한 device 없이 영상의 hand motion을 분석해 명령을 부여하는 새로운 형태의 입력장치를 제안한다. Cam-Shift 기법으로 skin color 영역을 이진화 하여 tracking 한 후, labeling을 통해 분리한 손가락 영역과 손 중심점과의 각도를 동서남북으로 구분해 counting하여 손동작을 인식한다. 손동작에 대한 입력은 맨손에 배경처리를 하지 않은 경우 약 76.8%의 낮은 인식률을 보였으나, 붉은색 장갑을 착용하고 배경을 지정해 줄 경우 잡영 제거의 영향으로 인식률이 90.2%까지 향상된다.

• 한국생산제조학회지
• /
• 제26권1호
• /
• pp.20-29
• /
• 2017

Motion synchronization between developed real and virtual robots for object recognition and target tracking is introduced. ASUS's XTION PRO Live is implemented as a sensor and configured to recognize walls and obstacles, and perceive objects. In order to create virtual reality, Unity 3D is adopted to be associated with the real robot, and the virtual object is controlled by using an input device. A Bluetooth serial communication module is used for wireless communication between the PC and the real robot. The motion information of a virtual object controlled by the user is sent to the robot. Then, the robot moves in the same way as the virtual object according to the motion information. Through motion synchronization, two scenarios, which map the real space and current object information with virtual objects and space, were demonstrated, yielding good agreement between the two spaces.

• 전자공학회논문지 IE
• /
• 제43권2호
• /
• pp.54-62
• /
• 2006

본 논문에서는 적응적 시차 움직임 벡터에 기반한 스테레오 물체추적 및 3차원 디스플레이 시스템을 제안하였다. 즉, 제안된 시스템에서는 스테레오 입력영상 시퀀스로부터 적응적으로 추출된 시차 벡터로부터 프레임간 적응적 시차 움직임 벡터를 구한 다음 이를 이용하여 각 프레임에서 표적물체가 존재하는 영역 및 위치좌표를 효과적으로 검출하였다. 또한, 이를 프레임간 표적의 이동거리 좌표를 구하여 최종적으로 팬/틸트를 제어해 줌으로써 표적 물체를 추적하였다. $256\times256$ 픽셀 크기의 스테레오 영상 20 프레임을 사용한 물체추적 실험 결과, 표적 물체의 실제위치와 실험을 통해 얻은 이동위치 간의 평균 에러율이 약 3.05%로 낮게 나타남으로써 본 논문에서 새로이 제안한 적응적 시차 움직임 벡터 기반의 스테레오 물체추적 시스템의 실질적인 응용 가능성과 영상복원 기법을 사유하여 이동 물체의 3차원적 입체 디스플레이 또한 가능하다.

• 대한의용생체공학회:의공학회지
• /
• 제32권2호
• /
• pp.118-126
• /
• 2011

This study proposes a human body orientation tracking system by inertial and earth magnetic sensors. These sensors were fused by indirect Kalman filter. The proposed tracking system was configured and the filter was implemented. The tracking performance was evaluated with static and dynamic tests. In static test, the sensor was fixed on the floor while its static characteristics was analyzed. In dynamic test, the sensor was held and moved manually for 30 seconds. The dynamic test included x, y, z axis rotations, and elbow flection/extension motions that mimic drinking. For these dynamic motions, the tracking angle error was under $4.1^{\circ}$ on average. The proposed tracking method is expected to be useful for various human body motion analysis.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
• /
• pp.775-778
• /
• 1996

In this research, the robustness of a seam tracking for the automatic welding system is studied. The laser displacement sensor is used as a seam finder. X-Y moving table drived by ac servo motor controls the position and velocity of the torch-and-sensor part. However, dc servo motor is used to control the position and velocity of the torch. The sensor locates ahead of torch to preview the weld line, and brings about the inaccuracy on the torch tracking. To enhance the robustness on this system against the influence of disturbances and model uncertainty, H$\_$.inf./ control is applied to the angular motion of torch. The simulation shows that the tracking accuracy improved significantly. Also, experimental results give a good performance of H$\_$.inf./ control strategy to the automatic seam tracking system for the welding.