• The Optical Journal
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• v.12 no.2 s.66
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• pp.6-10
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• 2000

국내 CCTV 제조업체는 약 100여 개 정도로 추산되며, 대기업과 중견기업이 시장을 주도하는 동시에 한 아이템에 특화하여 주력하는 중소기업들이 탄탄히 뒷받침을 하고 있다. 1999년도 CCTV camera 업체들은 대부분 상반기를 기점으로 하반기부터 큰폭의 신장률을 기록하고 있으며, 주변기기 쪽도 비슷한 추이를 보이고 있다.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.2
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• pp.63-72
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• 2016

Closed-circuit television(CCTV) is a facility that forms the backbone of the ubiquitous services provided by the Integrated Management Center of the Ministry of Land, Infrastructure and Transport and the Integrated Control Center of the Ministry of the Interior. However, it is installed and managed according to different laws, as it is operated and managed by each department. Moreover, because there are no regulatory grounds for unified management of CCTV, each municipality responsible for the actual management manages it based on the individual standards of each department. Thus, the purpose of this study is to develop a standardized management form to establish an integrated management plan. The author inspected the existing situation by examining the legal system and public data and through hands-on worker interviews, and discovered the managed element by reviewing the specifications of the bidding system. The management form for integrated management comprises the above requirements along with the management histories and linkage of intelligent facilities. A uniform management form for integrated management containing specifications of the CCTVs installed by various departments is created, and is easily searched for facilities to check requirements for joint use. The result of this study can contribute to building the database of facility management system for integrated management of facilities at the integrated management center as well as for a detailed simulation of the selection of location of CCTV depending on the CCTV's specifications.

• Journal of Korea Multimedia Society
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• v.10 no.2
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• pp.209-217
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• 2007

This paper proposed to a detection scheme of weather information that is a part of CCTV Images Weather Detection System using CCTV images and Temperature, Humidity. The previous Partial Weather Detection System uses how to acquire weather information using images on the Road. In the system the contrast and RGB Values using clear images are gained. This information is distributed a input images to cloud, rain, snow and fog images. That is, this information is compared the snow and the fog images for acquisition more correctness information us ing difference images and binary images. Currently, We use to environment sense system, but we suggest a new Weather Detection Algorithm to detect weather information using CCTV images. Our algorithm is designed simply and systematically to detect and separate special characteristics of images from CCTV images. and using temperature & humidity in formation. This algorithm, there is more complex to implement than how to use DB with high overhead of time and space in the previous system. But our algorithm can be implement with low cost' and can be use the system in real work right away. Also, our algorithm can detect the exact information of weather with adding in formation including temperature, humidity, date, and time. At last, this paper s how the usefulness of our algorithm.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.189-198
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• 2023

As crimes frequently occur on the street, the spread of CCTV is increasing. However, due to the shortcomings of passively operated CCTV, the need for intelligent CCTV is attracting attention. Due to the heavy system of such intelligent CCTV, high-performance devices are required, which has a problem in that it is expensive to replace the general CCTV. To solve this problem, an intelligent CCTV system that recognizes low-quality images and operates even on devices with low performance is required. Therefore, this paper proposes a Saying CCTV system that can detect threats in real time by using the AWS cloud platform to lighten the system and convert images into text. Based on the data extracted using YOLO v4 and OpenPose, it is implemented to determine the risk object, threat behavior, and threat situation, and calculate the risk using machine learning. Through this, the system can be operated anytime and anywhere as long as the network is connected, and the system can be used even with devices with minimal performance for video shooting and image upload. Furthermore, it is possible to quickly prevent crime by automating meaningful statistics on crime by analyzing the video and using the data stored as text.

• Journal of Industrial Convergence
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• v.22 no.7
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• pp.1-13
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• 2024

Among e-government services, the intelligent CCTV control platform is a screening control service that utilizes artificial intelligence to display major objects such as people, cars, etc. to control personnel when they appear on CCTV. The operation of an intelligent CCTV control platform is expected to improve the quality of life of citizens by enabling rapid response in the event of an emergency and increasing the resolution of complaints. In this study, the benefits of the intelligent CCTV control platform, a non-market good, were estimated by applying the contingent valuation method (CVM), a choice experiment technique, to estimate the average willingness to pay per household and calculate the social benefits. As a result of the analysis, the average willingness to pay per household was estimated to be KRW 6,908 per year, and the economic benefits for the country as a whole were estimated to be about KRW 150.4 billion per year. This study is of academic significance as it extends the application of CVM to the field of intelligent e-Government services. The Intelligent CCTV control platforms is being actively discussed, this study has practical implications in that the benefits were estimated in monetary value.

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.447-454
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• 2013

As the surveillance CCTVs are increasing every year, big data image processing for the CCTV image data has become a hot issue. In this paper, we propose a Hadoop-based big data image processing technique to recognize a vehicle number from a large amount of automatic number plate images taken from CCTVs. We also implement the vehicle route tracking system that displays the moving path of the searched vehicle on Google Maps with the related information together. In order to evaluate the performance we compare and analysis the vehicle number recognition time for a lot of CCTV image data in Hadoop and the single PC environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.10B
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• pp.1436-1443
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• 2001

본 연구는 고속도로에 설치된 CCTV 카메라에서 교통량, 속도, 점유율 등의 교통정보를 수집하기 위하여 검지영역을 자동으로 설치하는 알고리즘을 제안한다. 이를 위하여 교통정보센터에 설치된 콘트롤러에서 CCTV 카메라의 Pan, Tilt, Zoom 요소값을 보내면 이 값만큼 CCTV 카메라가 panning, tilting이 되고, 이에 따른 변화된 영상이 교통정보센터로 전송이 된다. 기존의 연구로는 영상 내에서 도로를 추출하기 위하여 차 영상(difference image)에 의한 도로추출방법과 윤곽선 추출방법에 의한 도로추출 방법이 있으나, 전자는 도로를 추출하는데 있어서 시간이 많이 소요된다는 문제점이 있으며, 후자는 정확한 도로를 추출하지 못한다는 문제점이 있다. 이러한 문제를 해결하기 위하여 본 연구에서는 우선 각 차로 상의 직선의 방정식을 구하고, 이 직선의 방정식에서 CCTV 카메라가 Panning, Tilting하는 중심점을 찾은 다음 CCTV 카메라의 Pan, Tilt 값에 의하여 3차원상의 원근비율에 따라 각 차로 별 좌표변환방법을 이용한다. 본 연구를 위한 실험은 고속도로 기흥IC에 15m 높이로 설치된 CCTV 카메라에서 영상을 캡쳐하였으며, 차후 교통량, 속도, 점유율 등 교통정보를 산출하는데 처리 속도를 고려하여 영상의 해상도는 640480픽셀과 256명암값에서 계산되었다.

• Journal of IKEEE
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• v.22 no.2
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• pp.266-273
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• 2018

Smart surveillance system obtains the positional information of users using GPS receivers embedded in smart devices, and provide them with services of tracking, monitoring, and protecting by controlling CCTVs nearby them. In order to apply and operate these systems to new environment, the overall setup process of the system is increased proportionally to the number of CCTVs. Therefore if there is a large number of CCTVs, the amount of time required during the setup process is very lengthy, and the operation of them becomes inoperable. In this paper, we propose a method to reduce these setting process. As the result of applying and simulation the proposed method, the setup method is simple, and as the CCTV increases, it consumes less time the previous system, and the system can be operated during setup.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.219-227
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• 2012

This paper describes the design and implementation of an efficient image security system for CCTV using the analysis technique of color informations. In conventional approaches, the compression and encryption techniques are mainly used for reducing the data size of the original images while the analysis technique of color information is first proposed, which eliminates the overlapping part of the original image data in our approach. In addition, security-enhanced CCTV image security system is presented using SSL/VPN tunneling technique. When we use the method proposed in this paper, an efficient image processing is enable for a mount of information, and also security problem is enhanced. Through the implementation results, the proposed method showed that the original image information are dramatically reduced.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.47 no.2
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• pp.146-152
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• 2011

Underwater CCTV camera systems are increasingly replaced the traditional net approach of assessing the species, numbers and aggregation patterns of marine animals distributing around the artificial reefs installed in the inshore fishing grounds, in particular, in relation to the biological investigation of behavior and distribution patterns of target fishes. In relation to these needs, we developed a multi-directional underwater CCTV camera system to use in detecting and tracking marine animals in the artificial reef ground. The marine targets to be investigated were independently tracked by using a camera module toward the bottom and four camera modules installed in the interval of $90^{\circ}$ in horizontal plane and inclination of $45^{\circ}$ in vertical plane of the CCTV system without the overlap of video frames by each camera module. From the results of several field tests at sea, we believe that the developed multi-directional underwater CCTV camera system will contribute to a better understanding in evaluating the effect of artificial reefs installed in the inshore fishing grounds.