• Journal of Digital Contents Society
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• v.16 no.1
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• pp.25-32
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• 2015

With the increased frequency of crime such as assaults and sexual violence, the reliance on CCTV in arresting criminals has increased as well. However, CCTV, which should be monitored by human labor force at all times, has limits in terms of budget and man-power. Thereby, the interest in intelligent security system is growing nowadays. Expanding the techniques of an objects behavior recognition in previous studies, we propose a system to detect forms of violence between 2~3 objects from images obtained in CCTV. It perceives by detecting the object with the difference operation and the morphology of the background image. The determinant criteria to define violent behaviors are suggested. Moreover, provable decision metric values through measurements of the number of violent condition are derived. As a result of the experiments with the threshold values, showed more than 80% recognition success rate. A future research for abnormal behaviors recognition system in a crowded circumstance remains to be developed.

• The KIPS Transactions:PartA
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• v.15A no.2
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• pp.75-86
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• 2008

Black/white comic rendering is one of the researches in the field of non-photorealistic rendering(NPR). Black/white comics have been produced manually as yet. But these previous systems require lots of time and manual work. So we propose the COmics Rendering system on VIdeo Stream (CORVIS) which transforms video streams into black/white comic cuts. Stylized font, one of comic representations, can be used to express onomatopoeic words and mimetic dialogue exaggeratively. But current comic generation systems do not provide enough effects of stylized font. This paper proposes a model for stylized fonts to express various effects. Effects of stylized fonts we proposed include geometric deformations. Thus we could represent stylized fonts on the still cut of movies and the background texture on a cuts of plain black/white comics. The final quality of our system produced is good enough to compare with manual black/white comics.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.105-105
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• 2016

최근 기후변화 위기에 따른 대책으로 하천 유량 모니터링이 제시될 정도로 유량자료의 중요성이 확대되고 있다. 하천의 유량자료는 수자원개발 및 하천 방재의 중요한 기초자료로 이용되기 때문에 유량 산정 결과에 대한 신뢰도 즉, 측정 불확도를 정량적으로 제시하기 위한 연구는 오래 전부터 많은 연구자들에 의해 수행되었다. 1963 ~ 1970년에 영국 및 미국의 다수 하천의 유량 측정자료를 활용하여 국제표준화기구(ISO)에서 제시한 ISO 748이 대표적인 지침서이다. 현재 국내 유량조사 업무에서도 ISO 748의 측정 불확도 평가 방식을 이용하여 유량 측정 결과의 신뢰도를 제시하고 있다. 하지만 하천 유량조사는 현장 상황과 측정 인력의 경험 등에 따라 차이가 크게 발생할 수 있으며, 최근 첨단 센서를 활용한 유량 측정 기법들이 다수 개발되어 사용 중일 뿐만 아니라 측정 불확도 평가 체계를 GUM(Guide to the Expression of Uncertainty in Measurement)으로 변화해가고 있는 추세 등을 고려하였을 때 기존의 ISO 748에서 제시한 유량 측정 불확도 평가 방법에 대한 재검토에 대한 요구가 증대되고 있다. 특히 국내에서 홍수 시 유량 조사 방법으로 가장 많이 사용하고 있는 부자법의 경우 ISO 748에서 제안한 방법으로 측정 불확도를 제시하고 있지만 실제적으로 현장 상황을 고려하지 못하고 있는 것이 사실이다. 예를 들어 육안으로 관측하기 어려워 부자의 유하거리를 직선으로 가정함에 따른 불확도를 포함하지 못하고 있고, 부자가 유하하는 동안 부자의 흘수가 일정하지 않음에 따른 불확도를 포함하지 못하고 있다. 특히 부자 투하 측선과 유량 측정 단면을 부자가 지나가는 측선이 다름에 따른 불확도는 반드시 포함되어야 하지만 고려할 방법이 없어 아직까지 반영되지 못하고 있는 실정이다. 이에 본 연구에서는 부자를 이용한 유속 측정 불확도 산정에 있어서 그동안 ISO 748에서 정량적으로 고려하지 못한 불확도 인자들에 대하여 영상기법을 활용한 실험적 검토를 통해 정량적인 평가 기준을 제시하고자 한다. 이를 위해 실제 하천 규모의 흐름을 재현할 수 있는 안동하천실험센터의 직선수로에서 다양한 수리조건에 대한 부자를 이용한 유속 측정을 실시하여 측정 불확도를 산정하고자 한다. 본 연구 결과는 향후 부자를 이용한 유량 측정 불확도 평가 방법을 개선할 수 있고, 더 나아가 부자를 이용한 유량 측정 방법의 문제점을 개선할 수 있기 때문에 정확도를 향상에 크게 기여할 수 있을 것으로 기대한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.131-131
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• 2019

최근 기후변화와 여름철 고온 등으로 인한 녹조현상, 각종 사고로 인한 화학물질 및 유류 유출 등 수질오염과 관련된 사회적 관심이 높아지고 있다. 특히, 화학사고로 인한 유해화학물질 유출은 접촉시 인체에 악영향을 끼치며, 대기 수질 토양을 오염시키고 주변 농작물의 변색이나 괴사를 유발하는 등 발생 시 적절한 조치와 대응이 필요하다. 환경부에서는 유해화학물질 유출사고로 인한 국민건강 및 환경상의 위해를 예방하기 위해 화학물질관리법과 화학물질 등록 및 평가에 관한 법률을 제정하여 유해화학물질을 관리하고 사고에 대응하고 있다. 그러나, 화학사고 발생 시 현장인력에 의존해 공장 인근의 먼지, 악취 등을 감시하거나 화학물질의 유출이 우려되는 곳에 제한적으로 검출센서를 설치해 사고를 감시하고 있으나 미설치 지역에 대한 능동적 탐지가 어렵고, 공간적 분포 탐지가 불가능하여 초동 대응에 한계가 있다. 한편 최근 초분광 영상을 활용하여 물질 고유의 특성을 분석함으로써 토지피복, 식생, 수질 등의 식별에 활용되고 있어 화학물질 감지 가능성도 보여주고 있다. 하지만, 초분광 센서를 활용한 하천의 화학물질 감지를 위한 연구는 아직 미비한 실정이다. 이에 본 연구에서는 우선 유해화학물질의 일종인 황산, 염화티오닐, 톨루엔을 대상으로 지점 분광복사계로 촬영하여 각각의 화학물질이 갖는 분광특성을 수집하여 초분광 영상으로 상호 구분이 가능한 지 확인하고자 하였다. 이상치 검출 및 신뢰도 높은 자료를 구축하기 위해 다회 반복촬영하였으며 반사도의 표준화를 위해 백색판을 동시에 측정하고 이를 정규화하여 분광 라이브러리를 구축한 결과, 대상 화학물질 별 식별이 가능하다는 결과를 도출하였다. 이러한 가능성에 기반하여 추가적인 유해화학물질 분광 라이브러리 데이터베이스를 구축하면, 사고물질의 식별 및 농도를 즉각적으로 확인하고 실시간 모니터링에 적용하여 신속하게 화학사고 발생여부 감지 및 대응에 활용될 것으로 기대한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.320-326
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• 2021

AVTE(Air Vehicle Test Equipment) is an equipment to inspect and check the status of on-board aircraft LRUs(Line Replacement Units) before and after flight for performing successful UAV(Unmanned Aerial Vehicle) missions. This paper suggests utilization of the AVTE as an operation support-equipment by implementing several critical functions for UAV-operation on the AVTE. The AVTE easily sets initialization(default) data and compensates for the installation and position errors of the LRUs which provide critical mission data and situation image with pilots without additional individual operation support-equipment. Major fault list and situation image data could be downloaded after flight using the AVTE in the event of UAV emergency situation or unusual occurrence on duty as well. We anticipate the suggested operational approach of the AVTE could dramatically reduce the cost and man power for design and manufacture of additional operation support equipment and effectively diminish workload of the operator.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1949-1955
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• 2021

With the recent COVID-19 situation, countries are seriously feeling the need for medical personnel and their technologies. PDepending on the aging society, the number of medical staff is actually decreasing, and in order to solve this problem, research is needed to replace the part that does not require high expertise among actual medical practices performed by doctors. This paper describes and proposes actual research methods related to unmanned medical systems that use various deep learning image processing-based technologies to check the recovery status applicable to rehabilitation areas where medical staff should face patients directly. The proposed method replaces passive calculations such as a protractor or a method of drawing a line in a photograph, which is the method used for actual motion comparison. Since it is performed in real time, it helps to diagnose quickly, and it is easy for medical staff to provide necessary information because data on the degree of match of motion performance can be checked.

• Smart Media Journal
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• v.10 no.4
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• pp.9-14
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• 2021

In the case of the existing remote collaboration, the remote support service-oriented system is not suitable for the use of the field-oriented multi-person remote collaboration system. This paper is a remote collaboration system development for various industrial sites. We develop remote support and work management that faces the various needs of industrial sites, real-time video remote support between workers, and real-time voice work sharing between workers. In addition, The goal of the development aims to increase the usability by strengthening the security function through encryption in the video and to develop a more efficient system. Finally, the development contents are the remote management and the support software development, Android app development for worker, WebRTC-based remote collaboration system construction and development, and prototype development. These products are expected to increase demand and increase sales by installing and operating at industrial sites, and can promote manpower training, understanding trending technologies, and improving capabilities.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.17-22
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• 2021

It is difficult for the hearing impaired to use the counseling service without sign language interpretation. Due to the shortage of sign language interpreters, it takes a lot of time to connect to sign language interpreters, or there are many cases where the connection is not available. Therefore, in this paper, we propose a system that captures sign language as an image using OpenCV and CNN (Convolutional Neural Network), recognizes sign language motion, and converts the meaning of sign language into textual data and provides it to users. The counselor can conduct counseling by reading the stored sign language translation counseling contents. Consultation is possible without a professional sign language interpreter, reducing the burden of waiting for a sign language interpreter. If the proposed system is applied to counseling services for the hearing impaired, it is expected to improve the effectiveness of counseling and promote academic research on counseling for the hearing impaired in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.67-77
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• 2022

An automatic freeway bus-only lane enforcement system was developed and assessed in a real-world environment. Observation of a bus-only lane on the Youngdong freeway, South Korea, revealed that approximately 99% of the vehicles violated the high-occupancy vehicle (HOV) lane regulation. However, the current enforcement by the police not only exhibits a low enforcement rate, but also induces unnecessary safety and delay concerns. Since vehicles with six passengers or higher are permitted to enter freeway bus-only lanes, identifying the number of passengers in a vehicle is a core technology required for a freeway bus-only lane enforcement system. To that end, infrared cameras and the You Only Look Once (YOLOv5) deep learning algorithm were utilized. For assessment of the performance of the developed system, two environments, including a controlled test-bed and a real-world freeway, were used. As a result, the performances under the test-bed and the real-world environments exhibited 7% and 8% errors, respectively, indicating satisfactory outcomes. The developed system would contribute to an efficient freeway bus-only lane operations as well as eliminate safety and delay concerns caused by the current manual enforcement procedures.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.4
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• pp.210-219
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• 2023

The decline in the rural populace and an aging workforce have led to fatalities due to worsening environments and hazards within vinyl greenhouses. Therefore, it is necessary to automate crop cultivation and disease detection system in greenhouses to prevent labor loss. In this paper, an object detection-based model is used to detect diseased crop in greenhouses. In addition, the system proposed configures the environment of the artificial intelligence model in the cloud to ensure stability. The system captures images taken inside the vinyl greenhouse and stores them in a database, and then downloads the images to the cloud to perform inference based on Yolo-v4 for detection, generating JSON files for the results. Analyze this file and send it to the database for storage. From the experimental results, it was confirmed that disease detection through object detection showed high performance in real environments like vinyl greenhouses. It was also verified that efficient monitoring is possible through the database