• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.748-755
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• 2019

CCTV Systems have been operated in the variety of serveillance fields of the apartment, transportation, safety, physical security, and so on. And their uses are largely increasing as the CCTV transmission technology has been changed from analog to IP network way. Domestic industry has been working to upgrade from analog CCTV systems to High-Definition(HD) CCTV systems for recent years, which involves a few issues such as mixing with several transmission technologies and duplicated investment in each area because the technological analysis and criteria are specifically not arranged. This paper examines the technical issues of the transmission method between HD analog and HD IP CCTV systems, and induces the criteria of the cost analysis and its weighting factors for HD CCTV reformation. By simulating the cost analysis results of both the HD CCTV systems on apartment environment, this paper proposes the reference for the choice of HD CCTV system reformation.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.445-447
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• 2008

The CCTV systems is the most extensively used for a burglar proof, a crime prevention and a Prevention forest fires etc. The CCTV systems which is used in present is a PAN/TILT form. We want to control of CCTV systems motion by Up/Down, Left/Right, Zoom In/Out, Focus, TELE. We design a 8051 microcontroller board and a Key Controller and a Relay Controller. We conformed its feasibility through the simulation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.317-318
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• 2020

본 논문에서는 얼굴검출 후 MobilnetV2의 방법을 이용하여 적은 연산량으로 CCTV가 실시간으로 마스크 착용 유무를 판단할 수 있는 방법을 제시하였다. 이를 통해 현재 이슈가 되고있는 코로나19 등 전염병의 전염 위험이 있는 주요 장소에서 인공지능 CCTV가 마스크 미착용자를 식별해 알려줌으로써 마스크 미착용자를 관리할 수 있는 방법을 제공하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.144-146
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• 2019

Recently, according to the rapid development of surveillance information, closed-circuit television (CCTV) has become an indispensable component in security systems. A lot of advanced technologies of encryption and compression are implementing to improve the performance and security levels of the CCTV system. Especially, 360 video CCTV streaming is promising for surveillance without blind areas. However, compared to previous systems, 360 CCTV requires large bandwidth and low latency. Therefore, it requires more efficiently effort to improve the CCTV system performance. In order to meet the demands of 360 CCTV streaming, transcoding is an essential process to enhance the current CCTV system. Moreover, encryption algorithm is also an important priority in security system. In this paper, we propose a real-time transcoding solution in combination with the ARIA and AES algorithms. Experimental results prove that the proposed method has achieved around 195% speed up transcoding compared to FFMPEG libx265 method. Furthermore, the proposed system can handle multiple transcoding sessions simultaneously at high performance for both live 360 CCTV system and existing CCTV system.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.339-344
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• 2013

Airport security activities to ensure the airport's facilities and assets from crime, such as theft, to prevent. security systems that support these activities efficiently so you can be called. security center systems, CCTV systems, access control systems, intrusion detection systems, security communication systems, warning broadcasting system, network security systems, perimeter intrusion detection systems, search systems, and information security systems for the security system will be examined.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.1 no.1
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• pp.17-21
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• 2002

There are many problems of interoperability between ITS system equipments since the protocol standard for a network center and a node has not defined. In this paper, we consider the use of the SNMP to solve the interoperability problem, and apply the SNMP in the case of a CCTV as an example. Also, we defined its corresponding MIBs and accomplished the interoperability test, where the method of controlling the CCTV is explained and the data transmitted on the network are shown in a hexadecimal format. Our results are expected to be helpful for a guideline or feasibility test as nationwide data to support the interoperability of ITS systems between a network center and nodes.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.415-420
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• 2009

For the emergency detecting in general CCTV environment of our daily life, the monitoring by only images through CCTV information occurs some problems especially in cost as well as man power. Therefore, in this paper, for detecting emergency state dynamically through CCTV as well as resolving some problems, we propose our advanced speech recognition system. For the purpose of it, we adopt HMM(Hidden Markov Model) in our system to do a feature extraction. Also, we adopt Wiener filter technique for noise elimination in many information coming from on CCTV environment. In this paper, our system send only the emergency speech information to a manager to deal with emergency state effectively.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.15-22
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• 2017

People generally believe that disaster forecast and warning systems and response systems are well established in the age of cutting edge technology. As a matter of fact, reliable systems to respond to disasters are not properly equipped, as we witnessed the Sewol ferry disaster in 2014. The existing forecast and warning systems are based on sensor information with low efficiency, and image information is only operated by monitoring staff manually. In addition, the interconnection between a warning system and a response system in order to decide how to cope with the recognized disaster is very insufficient. This paper introduces the CCTV based disaster recognition and real time crisis response system composed of the CCTV image recognition engine and the crisis response technique. This system has brought the possibility to overcome the limitations of existing sensor based forecast and warning systems, and to resolve the problems in the absence of monitoring staff when responding to crisis.

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.1
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• pp.15-26
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• 2023

This study aimed to evaluate the performance of water level classification from CCTV images in agricultural facilities such as reservoirs. Recently, the CCTV system, widely used for facility monitor or disaster detection, can automatically detect and identify people and objects from the images by developing new technologies such as a deep learning system. Accordingly, we applied the ResNet-50 deep learning system based on Convolutional Neural Network and analyzed the water level of the agricultural reservoir from CCTV images obtained from TOMS (Total Operation Management System) of the Korea Rural Community Corporation. As a result, the accuracy of water level detection was improved by excluding night and rainfall CCTV images and applying measures. For example, the error rate significantly decreased from 24.39 % to 1.43 % in the Bakseok reservoir. We believe that the utilization of CCTVs should be further improved when calculating the amount of water supply and establishing a supply plan according to the integrated water management policy.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.767-777
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• 2023

In modern society, user privacy is emerging as an important issue as closed-circuit television (CCTV) systems increase rapidly in various public and private spaces. If CCTV cameras monitor sensitive areas or personal spaces, they can infringe on personal privacy. Someone's behavior patterns, sensitive information, residence, etc. can be exposed, and if the image data collected from CCTV is not properly protected, there can be a risk of data leakage by hackers or illegal accessors. This paper presents an innovative approach to "machine learning based reversible chaotic masking method for user privacy protection in CCTV environment." The proposed method was developed to protect an individual's identity within CCTV images while maintaining the usefulness of the data for surveillance and analysis purposes. This method utilizes a two-step process for user privacy. First, machine learning models are trained to accurately detect and locate human subjects within the CCTV frame. This model is designed to identify individuals accurately and robustly by leveraging state-of-the-art object detection techniques. When an individual is detected, reversible chaos masking technology is applied. This masking technique uses chaos maps to create complex patterns to hide individual facial features and identifiable characteristics. Above all, the generated mask can be reversibly applied and removed, allowing authorized users to access the original unmasking image.