• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.11
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• pp.1201-1209
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• 1991

Generally, the conventional tracking algorithms are very limited in the practical applications because of its exponential increase in the required computation time for the number of targets being tracked. Therefore, in this paper, a new real-time moving target tracking system is proposed, which is based on the neural networks with massive parallel processing capabilities. Through the theoretical and experimental results, the target tracking system based on neural network algorithm is analyzed to be computationally independent of the number of objects being tracked and performs the optimized tracking through its massive parallel computation and learning capabilities. And this system also has massive matched filtering effects because the moving target data can be compactly stored in the interconnection weights by learning. Accordingly, a possibility of the proposed neural network target tracking system can be suggested to the fields of real-time application.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.743-748
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• 2011

In this paper, we propose a collaborative tracking algorithm for intelligent video surveillance systems using the multiple network cameras. To do this, each camera detects a moving object and it's movement direction by motion templates. Once a moving object is detect, the Kalman filter is used to reduce noises, and a collaborative tracking camera is selected according to the movement direction and the camera state. In this procedure, Pan-Tilt-Zoom(PTZ) parameters are assigned to obtain clear images. Finally, some experiments show the validity of the proposed method.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.6
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• pp.121-127
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• 2003

The threshold value of the traitor-tracing schemes means a maximum number of traitors whose identities can be uniquely exposed using the tracing scheme. In the traitor-tracing scheme based on an error-correcting code, which is focused at this paper, the threshold value is determined by the error-correcting capability of the underlying error-correcting code. Analyzed in terms of a combinatorial property of the tracing scheme is the resulting effect on the tracing scheme when the collusion size is over the threshold value, and a possibility of two disjoint groups of users making an identical unauthorized decryption key is shown.

• Digital Contents
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• no.9 s.148
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• pp.56-59
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• 2005

요즘 한창 휴대폰의 도청 가능성 여부를 놓고 정국이 시끌벅적하지만, 이에 못지 않게 논란이 됐던 게 바로 휴대폰을 이용한 위치 추적 사건이었다. 모 대기업에서 근로자의 휴대폰을 불법적으로 위치 추적하면서 불거졌던 이 사건은 결국 무혐의로 상황 종료되긴 했지만 위치정보법에 대한 필요성을 부각시킨 사례 중 하나라 할 수 있다. 최근 이러한 위치정보에 대한 법률적인 기반이 마련됐다. 지금까지 LBS(Location Based Service) 분야로 기반 환경 조성 차원의 투자 단계가 진행됐다면, 이제 본격적으로 법적인 제도화를 통해 안정적인 서비스 단계로의 전이가 일어나려는 수순이라 하겠다. 지난 달 디지털콘텐츠의‘이슈’코너에서도‘차세대 킬러 앱'LBS’뜨거운 감자’라는 내용으로 이에 대해 자세히 소개한 바 있기도 하다. 이번 모바일 핫토크에서는 이 LBS 관련 모바일 서비스들에 대한 전망에 대해 소개한다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2006.04a
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• pp.70-71
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• 2006

• Proceedings of the Korea Society of Design Studies Conference
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• 2002.11b
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• pp.134-135
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• 2002

• Journal of Science and Technology Studies
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• v.14 no.2
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• pp.49-84
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• 2014

Social-impact is getting more emphasized for the R&D program evaluation. Qualitative indicators such as 'Productive-interactions' and 'Social-impact of R&D' have been included for the evaluation criteria in USA, UK and Netherlands. Recently, Korean government also realizes importance of the social-impact, so 'Follow-up evalution' is launched in order to evaluate not only technical-impact but also social-impact. In this paper, possibilities and challenges of social-impact analysis are reviewed. Furthermore, successful cases from the leading overseas countries are benchmarked to have policy implications.

• Journal of Broadcast Engineering
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• v.7 no.3
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• pp.248-261
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• 2002

In this paper, we proposed a new 3-dimensional(3-D) object-tracking algorithm that can control a stereo camera using a variable window mask supported by which uses ,B-D information and an optical BPEJTC. Hence, three-dimensional information characteristics of a stereo vision system, distance information from the stereo camera to the tracking object. can be easily acquired through the elements of a stereo vision system. and with this information, we can extract an area of the tracking object by varying window masks. This extractive area of the tracking object is used as the next updated reference image. furthermore, by carrying out an optical BPEJTC between a reference image and a stereo input image the coordinates of the tracking objects location can be acquired, and with this value a 3-D object tracking can be accomplished through manipulation of the convergence angie and a pan/tilt of a stereo camera. From the experimental results, the proposed algorithm was found to be able to the execute 3-D object tracking by extracting the area of the target object from an input image that is independent of the background noise in the stereo input image. Moreover a possible implementation of a 3-D tele-working or an adaptive 3-D object tracker, using the proposed algorithm is suggested.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.741-747
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• 2012

In this paper, we propose a fast and robust framework for detecting and tracking multiple targets. The proposed system includes two modules: object detection module and object tracking module. In the detection module, we preprocess the input images frame by frame, such as gray and binarization. Next after extracting the foreground object from the input images, morphology technology is used to reduce noises in foreground images. We also use a block-based histogram analysis method to distinguish human and other objects. In the tracking module, color-based tracking algorithm and Kalman filter are used. After converting the RGB images into HSV images, the color-based tracking algorithm to track the multiple targets is used. Also, Kalman filter is proposed to track the object and to judge the occlusion of different objects. Finally, we show the effectiveness and the applicability of the proposed method through experiments.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.1088-1092
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• 2005

하도에서의 홍수추적시 유역내의 지류 혹은 지표 및 지하수등은 추적대상이 되는 하도구간내에서 측방유입량의 되어 유출수문곡선의 첨두유량, 첨두시간, 수문곡선의 형태등에 영향을 주므로 정확한 산정이 필요하며, 직접유출수문곡선에서 측방유입량은 지표유출에 의해 발생하므로 강우발생시 유역에서 하도까지 걸리는 도달시간의 산정이나 측방유입속도의 결정이 필요하다. 기존의 강우-유출 수문모형은 지표수흐름의 복잡한 메카니즘 및 수리특성을 규명하는데 어려움이 있다. 본 연구에서는 관측유입수문곡선 및 유출수문곡선을 이용하여 측방유입량을 산정하고, 하도구간으로 유입되는 기지의 측방유입량으로부터 수리학적 홍수추적을 위한 지배방정식인 Saint-Venant방정식의 수치해법중 하나인 양해법에 diffusing scheme을 적용하였다. 또한 하도 전구간에 동일한 측방유입속도로 유입될 경우와 하도중심을 기점으로 상류부와 하류부로 구분하여 두 구간의 측방유입속도가 다른 두가지 경우에 대해 측방유입속도를 역추정하였으며, 계산 유출 수문곡선과 관측 유출수문곡선을 비교$\cdot$분석함으로써 구성한 홍수추적모형에 대한 정확성과 타당성, 적용 가능성등을 검증하고자 하였다.