• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.12A
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• pp.1238-1245
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• 2006

Interest to the RTLS that is one of RFID applications is increasing in recent. The RTLS(Real Time Locating Systems) is one of applications for locating and tracking using RFID tags which are attached to something like container, pallet, or all the things. This paper presents the design and the implementation of an RTLS system using 433MHz active RFID tags and use radio frequency to provide the scalability. Our system we developed using RFID platform takes into account an RTLS standard. Also, in this paper a routing protocol is included to data delivery to server via each reader. In order to perform the evaluation, in addition, some experiments in out door are performed and results such as error metric and distance are also included. Furthermore, simulation for the routing protocol we supposed is also included.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.6
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• pp.88-95
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• 2011

An embedded mobile device mostly has lower computation power than a general purpose computer because of its relatively lower system specifications. Consequently, conventional face tracking and face detection methods, requiring complex algorithms for higher recognition rates, are unsuitable in a mobile environment aiming for real time detection. On the other hand, by applying a real-time tracking and detecting algorithm, we would be able to provide a two-way interactive multimedia service between an user and a mobile device thus providing a far better quality of service in comparison to a one-way service. Therefore it is necessary to develop a real-time face and eye tracking technique optimized to a mobile environment. For this reason, in this paper, we proposes a method of tracking horizontal face position of a user on a T-DMB device for enhancing the quality of 3D DMB content. The proposed method uses the orientation of edges to estimate the left and right boundary of the face, and by the color edge information, the horizontal position and size of face is determined finally to decide the horizontal face. The sobel gradient vector is projected vertically and candidates of face boundaries are selected, and we proposed a smoothing method and a peak-detection method for the precise decision. Because general face detection algorithms use multi-scale feature vectors, the detection time is too long on a mobile environment. However the proposed algorithm which uses the single-scale detection method can detect the face more faster than conventional face detection methods.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.185-188
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• 2000

본 연구에서는 화자의 음성신호를 이용하여 추출된 공간정보를 통해 화자의 위치를 실시간으로 추적하는 시스템을 제안하고 실시간 구현하였다. 기존의 대표적인 화자 위치 추출 알고리듬인 CPSP(Cross Power Spectrum Phase)는 실내환경에서 심각하게 일어나는 반향신호에 취약한 단점을 갖고 있으므로 구현된 시스템에서는 위치 추적 성능 개선을 위하여 반향신호에 강인한 hybrid window 알고리듬을 제안하여 적용하였다. Hybrid window 알고리듬은 실내 환경에 적합한 hybrid window를 설계하여 수신된 음성신호에 적용함으로써 반향신호에 의한 상호 상관관계를 줄이고 직접 경로에 의한 신호들의 상관관계를 높임으로써 보다 정확한 시간 지연 추정을 가능하게 한다. 제안된 시스템의 성능분석을 위해 DSP를 이용해 실시간 구현된 하드웨어를 이용해 기존의 CPSP 알고리듬과 제안된 hybrid window를 적용한 시스템을 실제 환경에서의 실험하였고 제안한 알고리듬을 적용한 시스템이 $22\%$ 이상 성공적으로 화자의 위치를 추적하였다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.5
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• pp.1-11
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• 2004

In this paper we proposed a hierarchical ASM for real-time tracking of non-rigid objects. For tracking an object we used ASM for estimating object contour possibly with occlusion. Moreover, to reduce the processing time we used hierarchical approach for real-time tacking. In the next frame we estimated the initial feature point by using Kalman filter. We also added block matching algorithm for increasing accuracy of the estimation. The proposed hierarchical, prediction-based approach was proven to out perform the exiting non-hierarchical, non-prediction methods.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.10
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• pp.1050-1061
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• 2014

Airborne radar usually use MPRF(medium PRF) waveforms to detect and track look-down or all-directions air-to-air targets. To use MPRF waveforms, airborne radar have to operate optimal PRF schedules and select optimal PRFs able to detect look-down air-to-air targets, overcoming look-down clutter and resolving range/velocity ambiguities. In this paper, we propose a real-time search method for the optimal(and sub-optimal) PRFs able to detect and track targets in real-time change of situation for MPRF pulsed-Doppler airborne radars.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.245-248
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• 2001

본 논문은 히스토그램 백 프로젝션, 히스토그램 인터 섹션 그리고 XY-프로젝션을 이용하여 물체를 분할하고 정합하여 물체 추적 시스템에 적용하고자 한다. 물체 추적 시스템에서 실시간 처리를 위하여 물체정합 모델은 계산량이 적고, 물체의 변화에도 일관성이 있어야 한다. 본 논문에서 제안한 물체정합 모델은 이러한 물체 추적 시스템에 적합하다. 본 논문에서는 움직이는 카메라로부터 획득된 영상에서 물체를 정합하는 것을 보였으며, 물체를 큰 오차 없이 추적함을 보였다.

• Journal of the Korea Computer Graphics Society
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• v.21 no.4
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• pp.11-17
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• 2015

As the needs of real-time visual object tracking are increasing in various kinds of application fields such as surveillance, entertainment, etc., kernel-based mean-shift tracking has received more interests. One of major issues in kernel-based mean-shift tracking is to be robust under partial or full occlusion status. This paper presents a real-time mean-shift tracking which is robust in partial occlusion by applying multi-mode local kernel weight. In the proposed method, a kernel is divided into multiple sub-kernels and each sub-kernel has a kernel weight to be determined according to the location of the sub-kernel. The experimental results show that the proposed method is more stable than the previous methods with multi-mode kernels in partial occlusion circumstance.

• Annual Conference of KIPS
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• 2013.11a
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• pp.1324-1327
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• 2013

최근 무인로봇 시장이 커지면서 국방관련, 민간, 상업적으로 무인로봇의 수요가 증가하고 있다. 이는 사람이 직접 접근할 수 없는 재난발생지역, 환경오염지역, 방사능위험지역, 국가 간 분쟁지역 등에 무인항공기나 무인지상로봇을 투입하여 실시간 원격으로 재난피해 정도를 관찰하고 인명구조작업, 생존자 위치파악, 국경지대 순찰 등에 효과적인 시스템으로 활용할 수 있다. 하지만, 제한적인 환경에서 가지고 있는 부품들이 기능을 제대로 동작하지 않을 때, 하나의 센서 또는 부품을 활용한 위치추적, 원격제어 및 자율주행 등이 가능해야 한다. 따라서 본 논문에서는 1개의 이미지 센서를 통해, 객체의 색을 인식하고 추적하는 시스템을 개발하고자 한다. 특히, 기존의 거리감지 센서 기반의 색 객체 추적 알고리즘에 비교하여, 면적중심 값의 변화량에 따라 객체추적의 반응속도를 증가시켜 쉽게 객체를 추적할 수 있는 시스템을 개발하고자 한다.

• Proceedings of the Optical Society of Korea Conference
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• 2003.02a
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• pp.194-196
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• 2003

적응광학은 넓은 의미로 실시간으로 빛을 제어하는 분야를 의미하며, 천문학 관련 분야에 제한하면 대기에 의해 왜곡된 빛의 파면을 실시간으로 보상시켜주는 기술을 의미한다. 적응광학은 대기과학, 광학분야, 광전자분야, 전기분야, 기계분야 등의 복합학문으로 1950년 Backcock에 의하여 제안된 후 1970～80년대 미소에 의해 고에너지레이저(HEL, High Enegry Laser)와 위성추적시스템의 구성요소로 개발되었다 1980년 일반에 공개되었다. (중략)

• Journal of KIISE:Software and Applications
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• v.36 no.12
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• pp.977-985
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• 2009

This paper proposes a real-time algorithm for tracking the fast moving human body. Although Iterative closest point (ICP) algorithm is suitable for real-time tracking due to its efficiency and low computational complexity, ICP often fails to converge when the human body moves fast because the closest point may be mistakenly selected and trapped in a local minimum. To overcome such limitation, we combine a particle filter based on a motion history information with the ICP. The proposed human body motion tracking algorithm reduces the search space for each limb by employing a hierarchical tree structure, and enables tracking of the fast moving human bodies by using the motion prediction based on the motion history. Experimental results show that the proposed human body motion tracking provides accurate tracking performance and fast convergence rate.