• Journal of the Society of Disaster Information
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• v.12 no.2
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• pp.181-188
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• 2016

Database construction of basic elements for displaying CCTV informations(the location, direction, distance, maximum distance, Tele mode angle view, Wide mode angle view, etc.) is conducted by complete survey about CCTV information in model area. Automatic mapping algorithm is suggested to schematize and visualize it on the basic of the investigated CCTV informations. In the result, the CCTV locations in partial areas are duplicated on about 11 percents. Duplicated ones among twelve CCTVs are total five. If the redesign of CCTV location and direction by displaying the CCTV informations based on the suggested algorithm is performed, it can be used as scientific explanations.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.188-199
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• 2023

CCTV is widely used as a crime prevention method globally; however, there is insufficient evidence regarding its effectiveness. This study assesses the suitability of CCTV locations and their impact on crime prevention. First, to analyze the appropriateness of the location of CCTVs, we overlaid the locations of crimes and CCTV, and found that there are many cases where CCTV were placed where crime rarely occurred. Using various cases, we verified CCTV's crime prevention effectiveness. The WDQ was applied to comprehensively analyze the impact of CCTV surveillance area and surrounding areas to determine the crime prevention effect. As a result of the analysis, CCTV was found to be effective in preventing crime. In 53.09% of the cases, there was a diffusion effect of crime control benefits in the surrounding area, which was four times more than the cases with a transfer effect. Thus, strategically installing CCTV in appropriate locations enhances crime prevention effectiveness based on spatial analysis.

• Journal of IKEEE
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• v.23 no.4
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• pp.1195-1202
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• 2019

The safe return home system automatically tracks and makes a video-recording the client by selecting and controlling CCTV cameras near the client using GPS location information received from the smart device possessed by the service client. This service helps clients to return home safely when there is a crime-ridden district on their late night return home route. If the CCTV cameras that can capture the client are already occupied and used by other clients, concession of occupied CCTV cameras is required to capture the new client. To tackle the limitation, we developed an extended method that considered both the average distances between the client and CCTV cameras and the service rates. As a result, the average distance between CCTV cameras and clients is kept close, and service rates are improved.

• Journal of the Society of Disaster Information
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• v.10 no.1
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• pp.105-115
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• 2014

In this research, we developed video analytic algorithms to detect water-level automatically and a system for proactive alarming using intelligent CCTV cameras. We applied these algorithms and a system to test-beds and verified for practical use. We made camera-selection policies and operation plans to keep the detection accuracy high and to optimize the suitability for the ever-changing weather condition, while the environmental factors such as camera shaking and weather condition can affect to detection accuracy. The estimation result of algorithms showed 90% detection accuracy for all CCTV camera types. For water level detection, NIR camera performed great. NIR camera performed over 95% accuracy in day or night, suitable in natural weather condition such as shaking condition, fog, and low light, needs similar installment skills with common cameras, and spends only 15% high cost. As a result, we practically tested water level detection algorithms and operation system based on intelligent CCTV camera. Furthermore, we expect the positive evidences when it is applied for public use.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.269-279
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• 2020

Traffic estimation mainly involves surveying equipment such as automatic vehicle classification, vehicle detection system, toll collection system, and personnel surveys through CCTV (Closed Circuit TeleVision), but this requires a lot of manpower and cost. In this study, we proposed a method of estimating traffic volume using deep learning and stereo CCTV to overcome the limitation of not detecting the entire vehicle in case of single CCTV. COCO (Common Objects in Context) dataset was used to train deep learning models to detect vehicles, and each vehicle was detected in left and right CCTV images in real time. Then, the vehicle that could not be detected from each image was additionally detected by using affine transformation to improve the accuracy of traffic volume. Experiments were conducted separately for the normal road environment and the case of weather conditions with fog. In the normal road environment, vehicle detection improved by 6.75% and 5.92% in left and right images, respectively, than in a single CCTV image. In addition, in the foggy road environment, vehicle detection was improved by 10.79% and 12.88% in the left and right images, respectively.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.2
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• pp.19-33
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• 2024

CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.

• Annual Conference of KIPS
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• 2018.10a
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• pp.136-138
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• 2018

최근 네트워크 서비스의 발달과 카메라 장치의 소형화에 따라 다양한 스트리밍 서비스들이 각광을 받고 있다. 특히, 특정구역을 모니터링 하는 CCTV 서비스의 경우 다양한 사용자의 요구사항을 만족시키기 위해 오픈소스 CCTV 플랫폼들이 개발되고 있다. 본 논문에서는 네트워크 카메라를 사용하는 사용자 맞춤형 CCTV 서비스를 제공하기 위한 도커 컨테이너 가반 CCTV 서비스 관리 프레임워크 설계 및 구현에 대한 내용을 기술한다. 제안하는 프레임워크는 다양한 사용자 요구를 충족시킬 수 있도록 오픈소스 CCTV 플랫폼들을 도커 컨테이너 기반으로 관리하는 서버를 포함하고, 해당 관리 서버에 접근하기 위한 Restful API를 제공한다. 또한, 네트워크 카메라는 RSTP 기반의 스트리밍 데이터를 오픈소스 CCTV 플랫폼에 제공함으로써 스트리밍 서비스의 확장성을 확보할 수 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.72-80
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• 2012

Binary CDMA is a new standard technology for wireless communication developed by our country that makes high speed communications and good quality of services. In this paper we researched the design and implementation methods of a wireless CCTV System based on the Binary-CDMA technology that makes it freely installed in any place without cables and laying works. We implemented the hardware and software for the CCTV system and developed a Prototype Wireless CCTV system based on the Binary-CDMA technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.2
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• pp.822-826
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• 2012

This study practically analyzed the relationships of safety awareness and safety practice of the day-care teacher according to the presence of CCTV and in particular, made a practical analysis about whether safety awareness have mediation effects in the relationship between presence of CCTV and safety practice. As a result of T-test analysis, safety awareness and safety practice of the day-care teacher according to the presence of CCTV is different that has been verified. As a result of regression analysis, safety awareness were positively related to safety practice. That is to say, even the mediation effects that the presence of CCTV through safety awareness related to safety practice were verified. As a result, it was concluded that safety awareness factors didn't play mediator roles between presence of CCTV and safety practice.

• Journal of Internet of Things and Convergence
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• v.3 no.2
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• pp.1-5
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• 2017

As CCTV technology develops, it is used in various fields. Currently, we want to know about CCTV operation in detail. In addition, CCTV in many fields is causing problems in operation. We plan to design a new system to solve the problem. In this paper, we analyze data using K-means so that CCTV can be operated efficiently, add new technology and function to existing system to increase image technology and operate efficiently, Technology. In addition, we will design a new system for CCTV technology using k-means so that the CCTV can be efficiently operated in the center, and propose the problem to solve the problem.