• Journal of Advanced Navigation Technology
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• v.2 no.2
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• pp.107-115
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• 1998

In this paper, we propose a robust moving object tracking(MOT) method based on motion energy and prediction. MOT consists of two steps: moving object extraction step(MOES) and moving object tracking step(MOTS). For MOES, we use improved motion energy method. For MOTS, we predict the next location of moving object based on distance and direction information among previous instances, so that we can reduce the search space for correspondence. We apply the method to both synthetic and real world sequences and find that the method works well even in the presence of occlusion and disocclusion.

• Journal of Broadcast Engineering
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• v.19 no.6
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• pp.942-956
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• 2014

This paper proposes a real-time hand pose tracking method using a monocular RGB camera. Hand tracking has high ambiguity since a hand has a number of degrees of freedom. Thus, to reduce the ambiguity the proposed method adopts the step-by-step estimation scheme: a palm pose estimation, a finger yaw motion estimation, and a finger pitch motion estimation, which are performed in consecutive order. Assuming a hand to be a plane, the proposed method utilizes a planar hand model, which facilitates a hand model regeneration. The hand model regeneration modifies the hand model to fit a current user's hand, and improves robustness and accuracy of the tracking results. The proposed method can work in real-time and does not require GPU-based processing. Thus, it can be applied to various platforms including mobile devices such as Google Glass. The effectiveness and performance of the proposed method will be verified through various experiments.

• Journal of Advanced Navigation Technology
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• v.3 no.2
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• pp.156-166
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• 1999

In multi-vehicle tracking systems Kalman filter is generally used for tracking vehicles. Despite well known advantages of Kalman filter that presents optimality with constraints, it is difficult to track several vehicles in real time simultaneously due to a large number of computations. In this paper, we propose a multi-vehicle tracking system with an adaptive predictor that employs recursive least square algorithm which can be easily implemented for real time application on a transversal filter. The performance of the proposed tracking system is compared to one with Kalman filter using a synthetic sequential image generated by computer graphics and real sequential image taken at intersections. Simulation results show that the proposed tracking system can be applied to track vehicles in real sequential image at the rate of 30 frame/sec on a PC environments without any special hardwares.

• Annual Conference of KIPS
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• 2008.11a
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• pp.117-120
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• 2008

동영상의 다중 물체 인식 및 추적은 의료영상이나 무인 주행 시스템 등의 응용분야에서 중요성이 높아지고 있다. 본 논문에서는 스포츠 동영상의 다중 물체를 인식 및 추적하기 위해 칼만필터 알고리즘을 사용한다. 칼만필터 알고리즘을 이용한 물체의 이동 궤적 관리를 통해 표적 겹침 현상에 대한 추적 실패를 극복하도록 하였다. 표적 겹침이 일어나는 동영상을 입력 영상으로 이용하여 제안한 실시간 시뮬레이터의 추적 성능을 분석하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.772-774
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• 2004

선택적 주의선택 알고리즘 중 색상과 밝기 지도를 만드는 부분을 실시간 처리에 적용하고, 저주파수가 주로 분포하는 영역과 물체의 움직임이 감지된 영역을 입력 영상에서 찾아내어 가중치별로 합산함으로서 실시간으로 선택적 주의를 줄 수 있는 시스템을 구현했다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.4
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• pp.401-409
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• 2004

A monitoring system for container using CPS is the system for positioning and managing containers in real time. CPS is capable of positioning the container, promptly with a reasonable amount of accuracy. Facility managers of ports or airports should have loading, unloading, and keeping freight effectively. Transport companies or freight owners should allocate moving container properly and be able to prevent the loss or delay of freight. In this study, the position and pathways of container are monitored by real-time tracking method. The absolute and relative locations of container are monitored digitally and visually from TC_loading to TC_unloading yard. It has been tested the movement of the containers equiped with GPS, and its accuracy and efficiency were analyzed.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.16-21
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• 2021

소방 본부의 119 종합상황실에서는 24시간 국민의 안전을 위해 긴급 신고를 접수한다. 수보사 분들은 24시간 교대 근무를 하며 신고 전화에 접수 및 응대 뿐만 아니라 출동, 지휘, 관제 업무를 함께 수행한다. 이 논문에서는 이 같은 수보사의 업무 지원을 위해 우리가 구축한 음성 인식과 결합된 실시간 텍스트 분석 시스템에 대해서 소개하고, 출동 지령서 자동 작성을 위한 키워드 검출 및 대화 요약 및 개체명 인식에 기반한 대화 상태 추척 방법에 대해 설명하고자 한다. 대화 요약 기술은 음성 인식 결과를 실시간으로 분석하여 중요한 키워드의 검출 및 지령서 자동 작성을 위한 후처리를 수행하며, 문장 수준에서 개체명 인식 및 관계 분석을 통한 목적 대화의 대화 상태 추적을 수행한다. 이 같은 응용 시스템은 딥러닝 및 기계학습 기반의 자연어 처리 시스템이 실시간으로 텍스트 분석을 수행할 수 있는 기술 수준이 되었음을 보여주며, 긴급한 상황에서 많은 신고 전화를 접수하는 수보사의 업무 효율 증진 뿐만 아니라, 정확하고 신속한 위치 파악으로 신고자를 도와주어 국민안전 증진에 도움을 줄 수 있을 것으로 기대된다.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.301-312
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• 2005

Three different cases should be considered for motion tracking: moving object with fixed camera, fixed object with moving camera and moving object with moving camera. Two methods are widely used for motion tracking: the optical flow method and the difference frame method. The optical new method is mainly used when either one, object or camera is fixed. This method tracks object using time-space vector which compares object position frame by frame. This method requires heavy computation, and is not suitable for real-time monitoring system such as DVR(Digital Video Recorder). The different frame method is used for moving object with fixed camera. This method tracks object by comparing the difference between background images. This method is good for real-time applications because computation is small. However, it is not applicable if the camera is moving. This thesis proposes and implements the motion tracking system using the difference frame method with PTZ(Pan-Tilt-Zoom) control. This system can be used for moving object with moving camera. Since the difference frame method is used, the system is suitable for real-time applications such as DVR.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.176-178
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• 1999

우편 처리상황 실시간 모니터링 시스템은 우폄 물류처리의 효율적인 인프라를 제공하는 통합 우편물류 실시간 관제 시스템의 구성요소로서, 우편 집중국 및 운송교환센터를 대상으로 우편물량 정보와 운송경로 및 차량추적 정보를 실시간으로 제공한다. 이 논문에서는 우편 처리상황 실시간 모니터링 시스템의 세부 기능과 구조 및 성능에 대하여 설명한다.

• Journal of Advanced Navigation Technology
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• v.10 no.1
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• pp.48-56
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• 2006

This paper proposes an efficient preprocessing technique for a binary centroid tracker in correlated image sequences. It is known that the following factors determine the performance of the binary centroid target tracker: (1) an efficient real-time preprocessing technique, (2) an exact target segmentation from cluttered background images and (3) an intelligent tracking window sizing, and etc. The proposed centroid tracker consists of an adaptive segmentation method based on novel distance features and an efficient real-time preprocessing technique in order to enhance the distinction between the objects of interest and their local background. Various tracking experiments using synthetic images as well as real Forward-Looking InfraRed (FLIR) images are performed to show the usefulness of the proposed methods.