• Annual Conference of KIPS
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• 2012.11a
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• pp.543-544
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• 2012

객체 추적 및 모니터링 시스템에서 안개와 같은 환경적 불완전 요소는 비전 처리 성능에 많은 영향을 준다. 특히 안개는 빛의 산란과 흡수에 의한 감쇠로 탐지 영역내의 물체의 색상이 비슷해지고 채도가 매우 떨어지게 되어 객체의 형태를 구별하기 어려워진다. 따라서 실외에서 신뢰할 수 있는 비전 처리를 위해서는 안개와 같은 환경적 불완전 요소의 제거가 필수라 할 수 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.2B
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• pp.119-129
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• 2009

According to the advent of the ubiquitous environment, not only a location based service at the outside but also a location based service at the inside was more increased socially. Accordingly, this paper proposes the efficient determination system to locate a object in frequent change of indoor environment. Proposing system in this paper introduce the NLOS identification and mitigation to resolve NLOS problem, using this way that corrects location data as RWA and KF apply to result data can improve accuracy of a object. At last we are going to compare and analyze existing typical triangulation with proposed indoor location determination system to demonstrate algorithm efficiency for proposed indoor location determination system.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.62-64
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• 2021

최근 코로나 19의 확산으로 인하여 코로나 감염으로 인한 외부 방송 촬영에 제약이 생기면서, 제작환경은 실외에서 실내의 가상 환경 제작 수요가 크게 증가하고 있다. 이에 확장현실 제작 기술이 방송 제작에 적극 활용되고 있다. 확장현실은 외부의 제작 환경을 몰입형 LED월 시스템 기반으로 가상의 그래픽으로 내부 스튜디오 제작환경에서 제작 할 수 있어 방송에서는 확장현실 관련 시스템 및 그래픽 콘텐츠, 운영기술 개발이 요구되고 있다. 이에 본 논문은 확장현실 콘텐츠를 제작 할 수 있는 '몰입형 혼합현실 시스템'을 제안한다. 특히, 확장현실 환경에서 원격으로 AR과 VR 콘텐츠의 동기를 맞추어 운영할 수 있도록 개발된 '원격제어 타임라인 디렉터'를 통해 AR/VR 콘텐츠를 재생 및 입출력을 제어할 수 있다. 본 시스템을 통하여 그래픽 기반의 AR/VR 시험 그래픽 콘텐츠 및 실사 기반의 360 콘텐츠 기반 확장현실 시험 콘텐츠를 개발하였으며, 상용카메라 추적시스템과 연개하어 자연스러운 추적 및 합성 그리고 타임라인 디렉터의 사용자 인터페이스를 이용하여 확장현실 콘텐츠를 제작 및 운영 할 수 있음을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.346-348
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• 2022

Many CCTVs are needed to monitor a physically large area. When installing CCTV indoors, the wiring environment is sufficient, so many CCTVs can be installed. However, wiring is relatively difficult outdoors. In addition, when monitoring a long distance, wiring costs to the monitoring site are incurred. Therefore, when installing CCTV at a physically long distance, it is necessary to apply wireless technology. In this study, the structure of the existing CCTV system was checked and the requirements for converting it to a wireless environment were derived. And according to the requirements, a wireless-based intelligent CCTV system was proposed. As a result, it was confirmed that the wireless-based intelligent CCTV proposed in this study operates normally in a wireless environment. This study was conducted based on the wifi environment, and additional research is needed to extend it to the mobile mobile telecommunication environment.

• Journal of Broadcast Engineering
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• v.19 no.3
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• pp.372-384
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• 2014

DTV field tests have been performed to measure field strength and to check reception ratio on indoor and outdoor sites. They use an antenna of 9m to measure DTV signal in case of outdoor measurement on the road. Modern skyscrapers require the analysis of vertical-directional wave propagation by measuring vertical-directional DTV signal. Even if the field strength is above the reception threshold of $43dB{\mu}V/m$, the reception is impossible in case of strong multi-path or high impulse noise. So, vertical-directional field measurement is essential in environment of tall buildings. In this paper, we developed an octo type multi-copter to measure vertical-directional DTV signal level. A compact and portable DTV signal level meter, an antenna, a microwave transmitter for data transmission, and a recording equipment are equipped in the multi-copter. Three different sites are selected to test the measurement system. Developed measurement system using the multi-copter is very useful in measuring vertical-directional DTV signal, especially in apartments, non-accessible area by vehicles, and forbidden areas.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.121-122
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• 2015

In recent years, as people's attention on health, the demand for healthy crops such as mushrooms gradually increased. Farmers use plastic greenhouse cultivation mode more and more in order to reduce the impact of outdoor environment on crop cultivation, which requires farmers to adjust the greenhouse temperature at any time. But the majority of farmers still use a thermometer to measure temperature. This paper constructs an environment that can automatically adjust the temperature, so as to measuring temperature in real time, improving the efficiency of the farm work, and reducing unnecessary labor.

• Annual Conference of KIPS
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• 2010.04a
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• pp.981-984
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• 2010

최근 유비쿼터스 사회로 진화해 가면서 위치정보의 중요성이 높아짐에 따라 실외를 대상으로 하는 서비스 뿐 아니라 실내를 중심으로 하는 위치기반서비스에 관심이 집중되고 있다. 실내에서 사용자나 사물의 위치를 정확히 파악하기 위한 기술이 요구됨에 따라 다양한 측정수단과 방식으로 연구가 진행되고 있다. 특히, 실내에 설치된 AP를 활용하는 것이 가능하여 무선 랜 환경을 이용한 연구가 주로 진행되고 있지만, 기존의 연구는 주로 정해진 환경이나 전용AP를 활용하고 있어 위치측정 장소의 변경 등 환경적 요인이 변경되면 시스템을 재구축해야 하는 경우가 발생하고, 기존의 AP를 활용하기에는 많은 어려움이 존재한다. 따라서 본 논문에서는 특정한 위치측정 장소에 의존하지 않고 이미 실내에 설치된 AP를 활용하기 위한 방안을 제시하여 사용자의 위치를 효과적으로 측정하고 모니터링하기 위한 실내위치측정시스템의 구축절차, 고려해야할 사항 및 위치측정방법에 관하여 연구를 진행한다. 본 연구결과를 활용할 경우, 무선 랜 환경을 효과적으로 활용한 실내위치측정시스템의 구축이 용이할 것으로 기대된다.

• The KIPS Transactions:PartB
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• v.16B no.5
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• pp.385-394
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• 2009

Face tracking and recognition are difficult problems because the face is a non-rigid object. The main reasons for the failure to track and recognize the faces are the changes of a face pose and environmental illumination. To solve these problems, we propose a nonlinear manifold framework for the face pose and the face illumination normalization processing. Specifically, to track and recognize a face on the video that has various pose variations, we approximate a face pose density to single Gaussian density by PCA(Principle Component Analysis) using images sampled from training video sequences and then construct the GMM(Gaussian Mixture Model) for each person. To solve the illumination problem for the face tracking and recognition, we decompose the face images into the reflectance and the illuminance using the SSR(Single Scale Retinex) model. To obtain the normalized reflectance, the reflectance is rescaled by histogram equalization on the defined range. We newly approximate the illuminance by the trained manifold since the illuminance has almost variations by illumination. By combining these two features into our manifold framework, we derived the efficient face tracking and recognition results on indoor and outdoor video. To improve the video based tracking results, we update the weights of each face pose density at each frame by the tracking result at the previous frame using EM algorithm. Our experimental results show that our method is more efficient than other methods.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.5D
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• pp.635-644
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• 2009

Image processing technique in the outdoor environment is very sensitive, and it tends to lose a lot of accuracy when it rapidly changes by outdoor environment. Therefore, in order to calculate accurate traffic information using the traffic monitoring system, we must resolve removing shadow in transition time, Distortion by the vehicle headlights at night, noise of rain, snow, and fog, and occlusion. In the research, we developed a system to calibrate the amount of traffic, speed, and time occupancy by using image processing technique in a variety of outdoor environments change. This system were tested under outdoor environments at the Gonjiam test site, which is managed by Korea Institute of Construction Technology (www.kict.re.kr) for testing performance. We evaluated the performance of traffic information, volume counts, speed, and occupancy time, with 4 lanes (2 lanes are upstream and the rests are downstream) from the 16th to 18th December, 2008. The evaluation method performed as based on the standard data is a radar detection compared to calculated data using image processing technique. The System evaluation results showed that the amount of traffic, speed, and time occupancy in period (day, night, sunrise, sunset) are approximately 92-97% accuracy when these data compared to the standard data.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.84-89
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• 2009

Personal mobile devices such as mobile phone, PMP and MP3 player have advanced incredibly. Such advance in mobile technology ignites the research related to the life-log to understand the daily life of an user. Since life-log collected by mobile sensors can aid memory of the user, many researches have been conducted. This paper suggests a methodology for user-context recognition and visualization based on the outdoor location by GPS as well as indoor location by wireless-lan. When the GPS sensor does not work well in an indoor location, wireless-lan plays a major role in recognizing the location of an user so that the recognition of user-context become more accurate. In this paper, we have also developed the method for visualization of the life-log based on map and blog interfaces. In the experiments, subjects have collected real data with mobile devices and we have evaluated the performance of the proposed visualization and context recognition method based on the data.