• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.1-6
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• 2021

In the modern society, traffic problems are occurring as vehicle ownership increases. In particular, the incidence of highway traffic accidents is low, but the fatality rate is high. Therefore, a technology for detecting an abnormality in a vehicle is being studied. Among them, there is a vehicle anomaly detection technology using deep learning. This detects vehicle abnormalities such as a stopped vehicle due to an accident or engine failure. However, if an abnormality occurs on the road, it is possible to quickly respond to the driver's location. In this study, we propose a deep learning-based vehicle anomaly detection using road CCTV data. The proposed method preprocesses the road CCTV data. The pre-processing uses the background extraction algorithm MOG2 to separate the background and the foreground. The foreground refers to a vehicle with displacement, and a vehicle with an abnormality on the road is judged as a background because there is no displacement. The image that the background is extracted detects an object using YOLOv4. It is determined that the vehicle is abnormal.

• Annual Conference of KIPS
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• 2019.10a
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• pp.319-321
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• 2019

최근 여성 1인 가구를 대상으로 주거침입 관련 범죄가 꾸준히 발생하고 있다. 이러한 범죄를 예방하기 위한 한 방법으로는 특정 구역, 위치를 감시하기 위한 목적으로 CCTV(Closed-circuit television)를 설치하는 방법이 있다. 하지만 일반적인 가정용 CCTV의 경우 사용자 커스터마이징이 제한되어 있다. 따라서 본 논문에서는 저비용의 커스터마이징이 가능한 양방향 통신 기반 침입자탐지 시스템을 제안한다.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.1-10
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• 2011

In this paper, we proposed the skin color based hand and finger detection technology for the gesture recognition in CCTV surveillance. The aim of this paper is to present the methodology for hand detection and propose the finger detection method. The detected hand and finger can be used to implement the non-contact mouse. This technology can be used to control the home devices such as home-theater and television. Skin color is used to segment the hand region from background and contour is extracted from the segmented hand. Analysis of contour gives us the location of finger tip in the hand. After detecting the location of the fingertip, this system tracks the fingertip by using only R channel alone, and in recognition of hand motions to apply differential image, such as the removal of useless image shows a robust side. We explain about experiment which relates in fingertip tracking and finger gestures recognition, and experiment result shows the accuracy above 96%.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.97-106
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• 2023

Citizens' demand for public CCTVs continues to rise, along with an increase in variouscrimes and social problems in cities. In line with the needs of citizens, the Seoul Metropolitan Government began installing CCTV cameras in 2010, and the number of new installations has increased by over 10% each year. As the large surveillance system represents a substantial budget item for the city, decision-making on location selection should be guided by reasonable standards. The purpose of this study is to improve the existing related models(such as public CCTV priority location analysis manuals) to establish the methodology foranalyzing priority regions ofSeoul-type public CCTVs and propose new mid- to long-term installation goals. Additionally, using the improved methodology, we determine the CCTV priority status of 25 autonomous districts across Seoul and calculate the goals. Through its results, this study suggests improvements to existing models by addressing their limitations, such as the sustainability of input data, the conversion of existing general-purpose models to urban models, and the expansion of basic local government-level models to metropolitan government levels. The results can also be applied to other metropolitan areas and are used by the Seoul Metropolitan Government in its CCTV operation policy

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.3
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• pp.63-75
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• 2018

The purpose of this study is to analyze the effects of CCTV installation empirically in the economic and spatial aspects(crime displacement and diffusion effects of crime control benefits), targeting S city in Korea. In terms of economic effects, caused by CCTV installation(2012 and 2013), cost benefit analysis was conducted by means of CCTV installation costs, crime cases, and crime costs per case. The result shows that there is positive effect of 1.34(34%) in 2012. This is slightly higher than the previous study results in Korea(cost effectiveness 1.32), but a little lower than the USA cases(cost effectiveness 1.49). In the case areas in S city, the result proves that the new CCTV has gained economic profit through the crime reduction, compared to the installation expences. However, the cases in 2013 shows no economic profit effect. Secondly, an analysis was conducted in the spatial aspect(crime displacement and diffusion effects of crime control benefits) by using the analysis tool of crime displacement value called WDQ. The results are summarized as follows: The total crimes in three regions had crime diffusion effect but it was less than the direct effect, while in one region, displacement effect was found, but they were less than direct effect. In the case of theft and violence, CCTV had a positive effect, except for one region. The results of the analysis were totally different. Judging from this difference, it may conclude that the effects of CCTV are different by the types of crimes and the places of crimes. The results of this study is meaningful in that it examined and evaluated the effects of the CCTV by scientific and rational measurement tools where previous studies are not many. In addition, it has policy implication for the validity of CCTV and making effective installation plan for crime reduction and prevention.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1234-1239
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• 2019

This paper proposes a method for measuring fine dust concentration through digital processing of images captured by only existing CCTVs without additional equipment. This image processing algorithm consists of noise reduction, edge sharpening, ROI setting, edge strength calculation, and correction through HSV conversion. This algorithm is implemented using the C ++ OpenCV library. The algorithm was applied to CCTV images captured over a month. The edge strength values calculated for the ROI region are found to be closely related to the fine dust concentration data. To infer the correlation between the two types fo data, a trend line in the form of a power equation is established using MATLAB. The number of data points deviating from the trend line accounts for around 12.5%. Therefore, the overall accuracy is about 87.5%.

• 한국ITS학회:학술대회논문집
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• v.2006 no.10
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• pp.260-264
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• 2006

• Annual Conference of KIPS
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• 2014.04a
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• pp.1047-1048
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• 2014

본 논문에서는 CCTV의 문제점 및 설치 취약지역의 재난 발생을 사전에 예방하기 위해 무인비행체와 객체 인식 기술에 대해 조사 및 분석하고 이를 토대로 무인비행체의 영상정보 데이터를 관제기관에서 받아와 객체 인식 및 패턴 분석을 통해 재난을 예방하는 시스템을 설계하였다.

• Annual Conference of KIPS
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• 2022.05a
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• pp.379-380
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• 2022

KAIST 캠퍼스 기반의 실습환경 구축을 위하여 캠퍼스 전체를 스마트시티 테스트베드로 사용하며 CCTV 네트워크 기반 모니터링/관제 시스템 구축, 교통, 방범, 가로등, CCTV, 교내 버스 등 인프라 통합 관제 및 보안 실습실 구축하고 교내 자율주행 기술 연구진과 실습 협력 추진을 통한 캠퍼스 기반의 실전 스마트 환경을 토대로 다각도의 보안 공격/방어 실습을 진행하고 지자체 및 컨소시엄 기업들과 산학협력 프로젝트를 진행하기 위하여 구축한 내용을 설명한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.97-106
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• 2014

CCTV(Closed Circuit television) is one of the widely used physical security technologies and video acquisition device installed at specific point with various purposes. Recently, as the CCTV capabilities improve, facial recognition from the information collected from CCTV video is under development. However, in case these technologies are exploited, concerns on major privacy infringement are high. Especially, a computer connected to a particular space images taken by the camera in real time over the Internet has emerged to show information services. In the privacy law, safety measures which is related with biometric template are notified. Accordingly, in this paper, for the protection of privacy video information in the video surveillance system, the technical and managerial requirements for video information security are suggested.