• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1228-1238
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• 2003

This paper presents a new and practical method based on computer vision for detecting the monitor position where the user is looking. In general, the user tends to move both his face and eyes in order to gaze at certain monitor position. Previous researches use only one wide view camera, which can capture a whole user's face. In such a case, the image resolution is too low and the fine movements of user's eye cannot be exactly detected. So, we implement the gaze detection system with dual camera systems(a wide and a narrow view camera). In order to locate the user's eye position accurately, the narrow view camera has the functionalities of auto focusing and auto panning/tilting based on the detected 3D facial feature positions from the wide view camera. In addition, we use dual R-LED illuminators in order to detect facial features and especially eye features. As experimental results, we can implement the real-time gaze detection system and the gaze position accuracy between the computed positions and the real ones is about 3.44 cm of RMS error.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.1
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• pp.63-73
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• 2021

This paper presents a algorithm for automatic target recognition robust to the influence of the flame in order to track the target by EOTS(Electro-Optical Targeting System) equipped on UAV(Unmanned Aerial Vehicle) when there is aerial target or marine target with flame at the same time. The proposed method converts infrared images of targets and flames into a gradient vector field, and applies each gradient magnitude to a polynomial curve fitting technique to extract polynomial coefficients, and learns them in a shallow neural network model to automatically recognize targets and flames. The performance of the proposed technique was confirmed by utilizing the various infrared image database of the target and flame. Using this algorithm, it can be applied to areas where collision avoidance, forest fire detection, automatic detection and recognition of targets in the air and sea during automatic flight of unmanned aircraft.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.425-427
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• 2000

얼굴 표정은 사람의 감정을 표현함과 동시에 그것을 이해할 수 있는 중요한 수단이다. 최근 이러한 얼굴 표정의 자동인식과 추적을 위한 연구가 많이 진행되고 있다. 본 연구에서는 대략적인 얼굴영역을 설정하여 얼굴의 표정을 나타내는 표정요소들을 찾아낸 후, 각 요소의 특징점을 추출하고 추적하는 방법을 제시한다. 제안하는 시스템의 개요는 입력영상의 첫 프레임에서 얼굴영역 및 특징점을 찾고, 연속되는 프레임에서 반복적으로 이를 추적한다. 특징점 추출과 추적에는 템플릿 매칭과 Canny 경계선 검출기, Gabor 웨이블릿 변환을 사용하였다.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.165-165
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• 2018

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.865-867
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• 2005

본 논문에서는 CCTV방식의 감시시스템과 사랑추적 기술을 결합한 사람추적 감시시스템을 제안한다. 제안하는 시스템은 기존 CCTV방식의 감시시스템의 제한점이었던 모니터링 감시방식에서 벗어나 여러 대의 카메라들이 서로 다른 지역을 감시함과 동시에 카메라에 나타난 사랑들을 여러 카메라에 걸쳐서 자동적으로 추적할 수 있는 감시시스템이다. 제안된 시스템은 고정된 다수의 비겹침 카메라와 JMF RTP API를 이용하여 서버와 클라이언트간에 미디어스트림의 네트워크 정보전달과 추적 대상의 특징정보를 전달하여 사람들을 추적한다. 계층적 사람모델을 이용하여 카메라 내에 인식된 사람을 추적하고 다른 카메라로 추적된 사람의 특징정보를 전달하여 지속적으로 추적대상을 검출, 인식함으로써, 넓은 지역에 산재된 여러 카메라들을 통해 추적대상을 끝까지 추적한다. 본 논문에서는 제안된 시스템을 이용하여 실내환경의 여는 지역에서 추적대상의 움직임을 다수의 카메라가 인식하고 감시하여 끝까지 추적하였음을 확인하였다.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.95-101
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• 2014

This paper explains effective tracking method for a vehicle cutting in a line on the road automatically. The method employs KLT based on optical flow using play-back image sequence. Main contribution of this paper is play-back image sequence that is in order image frames for rewind direction from a reference point in time. The moment when recognizing camera can read a license plate very well can usually be the reference point in time. The biggest images of object traced can usually be obtained at this moment also. When optic flow is applied, the bigger image of the object traced can be obtained, the more feature points can be obtained. More many feature points bring good result of tracking object. After the recognizing cameras read a license plate on the vehicle suspected of cut-in-line violation, and then the system extracts the play-back image sequence from the tracking cameras for watching wide range. This paper compares using play-back image sequence as normal method for tracking to using play-forward image sequence as suggested method on the results of the experiment and also shows the suggested algorithm has a good performance that can be applied to the unmanned system for watching cut-in-line violation.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.4
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• pp.51-59
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• 2012

Recently, the study about object tracking using image processing has been active in the field of security and surveillance. Existing security and surveillance systems using multiple cameras have been operating independently. Thus, the chase was difficult when the tracking object move to other monitored areas. In this paper, we propose the way to change the control of camera automatically following the moving direction of objects in multiple cameras. The proposed method detects the object and tracks the object using color information and direction information of object. The color information obtains using the hue and the direction information obtains using the optical flow. At this time, the optical flow is detected for the entire image area of an object that is not applied only to reduce the computational complexity makes it possible to track in real time. In addition, it can be solved to inconvenience of security surveillance system to use existing camera by tracking an object automatically.

• Journal of the Korean Society of Marine Environment & Safety
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• v.12 no.2 s.25
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• pp.151-155
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• 2006

In these days, welding is the most commonly used metallic connection technology and also is the fundamental production technology of the modem industrial, which is used in various areas of the industrial fields, such as shipbuilding, automobiles, airplanes and plant facilities. However welding process produces strong light, electric currents, and fume gases etc., and the welding automation is not so easy compared to the other works of manufacturing industries which produce the standardized products in large quantities. So it is difficult to weld and detect the all kinds of seams automatically by a specific sensor. In this paper the sensor applying strain gauges is used to detect the seams of triangular wave form. With the auto carriage having the sensor we proposed the experiment to weld and track the seam automatically.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.35 no.9
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• pp.836-842
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• 2007

This paper describes the development of an automated operational orbit processing system (KGS automated Operational Orbit Processing System, KOOPS), which can determine, evaluate, update, and generate the orbit data automatically. Developed system can be applied to the multi satellite mission operations as a generic satellite orbit processing system in that the KOOPS has a capability to process various kinds of tracking data and assign pre and post processes according to the satellite system respectively. Results of applying the KOOPS to the KOMPSAT-1 and KOMPSAT-2 mission operations show that man power is greatly reduced and the efficiency and stability of the mission operations are significantly increased. The experiences to develop the KOOPS and operate multi satellite missions using this system can be applied to enhance the multi and generic flight dynamics system further.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06b
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• pp.51-56
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• 1999

본 논문에서는 동영상에서 의미 있는 객체 영역을 추출하기 위해, 사람이 첫 장에서 관심 있는 객체를 표시하고, 그 다음 프레임부터는 사람의 도움 없이 객체를 추적하는 반자동 (semi-automatic) 방식의 객체 추적 알고리즘에 대해 개선된 알고리즘을 제안하고 이를 구현하였다. 제안한 객체 추적 알고리즘은 이전 프레임의 객체의 움직임을 이용하여 현재 프레임에서 대략적인 객체의 위치를 찾은 후, 윤곽선의 불확실도를 조사하고, 윤곽선을 재조정하여 정확한 객체의 위치를 찾는다. 제안한 알고리즘은 다양한 영상에서 만족할 만한 결과를 얻었다.