• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1133-1136
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• 2017

폐쇄회로 텔레비전(CCTV, Closed Circuit Television)은 범죄 예방을 위해서 현재 많이 사용되고 있다. 하지만, CCTV의 경우 주로 영상에 기반하기 때문에 사각지대가 존재할 수 있으며 범죄 발생시 즉각적인 대처보다는 후속 조치에 주로 활용된다. 본 논문에서는 이와 같은 문제점을 해결하기 위해 비명을 탐지할 수 있는 치안 향상을 위한 비명 감지 시스템을 설계하고 구현하였다. 제안하는 시스템은 비명을 감지하면 경보음을 제공해주며, 중앙 시스템에 알림을 주어 관리자가 확인하고 즉각적인 대응이 가능할 수 있도록 할 수 있는 기능을 제공한다.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2009.05a
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• pp.179-181
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• 2009

보안구역의 외곽울타리지역의 경비체제를 인적경비에서 과학화경비로 전환함에 따라 CCTV 카메라 및 모니터 기능이 보다 향상되고 있는 반면에 이에 따른 조명설비의 중요성이 인식되었다. 그러므로 본 논문에서는 보안구역 내 과학화된 보안시스템에 적합한 조명개선을 위하여 기존 시설된 고압나트륨과 시범 설치된 LED 광원 및 조명등주의 위치를 변경하면서 조도를 실측하였다. 또한 CCTV 감시 화면의 특성을 고려하여 정확한 물체를 확인 할 수 있는 명암을 유지하기 위한 조명 값을 구하기 위하여 시뮬레이션을 실시하여 조도 개선안을 제시하고자 한다.

• Review of KIISC
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• v.29 no.3
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• pp.37-43
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• 2019

딥러닝을 비롯한 인공기능과 영상처리 분야의 접목은 기존 물리보안의 기술적 한계를 뛰어넘어 새로운 기회의 장을 마련하고 있다. 하지만 딥러닝 기반 영상분석 기술도 지능형 영상감시가 필요한 실제 현장에서는 다양한 환경의 제약사항으로 인해 성능이 저하될 가능성이 높다. 본 논문에서는 실제 CCTV 환경의 영상 데이터를 확보하여 신경망을 이용한 지속적인 학습을 통해 영상분석의 성능을 개선하는 클라우드 기반 지능형 영상보안 플랫폼을 소개한다. 클라우드 기반 지능형 영상보안 플랫폼은 지자체 통합관제센터에서 수집한 CCTV 영상을 학습 데이터로 활용하여, 현장에서 신뢰받을 수 있는 사람 검출, 사람/차량 재식별, 열악 차량번호판 탐지 등의 지능형 영상분석 서비스를 제공할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1346-1348
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• 2021

본 논문은 4차산업이 발달함에 따라 일반인들도 쉽게 인공지능과 결합한 CCTV를 구축할 수 있는 것을 목표로 하며, 더 나아가 1급보안시설인 항만에서 자주 발생하는 입국자 월담, 행방불명들을 인공지능 CCTV로 감시하여 보다 쉽게 잡고 인력감소로 경제적 이익을 도모할 수 있다.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.1-8
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• 2016

In the recently, violent crime and accidental crime has been generated continuously. Consequently, people anxiety has been heightened. The Closed Circuit Television (CCTV) has been used to ensure the security and evidence for the crimes. However, the video captured from CCTV has being used in the post-processing to apply to the evidence. In this paper, we propose a flexible multi-level models for estimating whether dangerous behavior and the environment and context for pedestrians. The situation analysis builds the knowledge for the pedestrians tracking. Finally, the decision step decides and notifies the threat situation when the behavior observed object is determined to abnormal behavior. Thereby, tracking the behavior of objects in a multi-region, it can be seen that the risk of the object behavior. It can be predicted by the behavior prediction of crime.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2145-2152
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• 2015

The existing CCTV has limitation such as problem on usage of the off-line type of recorded image for specific investigation, and requirement on interactive operator intervention for real-time surveillance. Therefore, it is required to develop the intelligent CCTV equipped with various functionalities in order to overcome drawbacks mentioned above. In this paper, implementation methods of image-based virtual fence were proposed by using the spline curves with supplied control for setup of surveillance area. In addition, pre-alarm region within the predefined distance was established with tangent and normal lines extracted from control points. The image-based virtual fence can be used for remote detection of intrusion and provision of real-time intrusion alarm, and can be expected to use in safety-related application areas including security and crime prevention.

• Convergence Security Journal
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• v.17 no.3
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• pp.41-49
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• 2017

According to a research by global IT market research institute IDC, CSIM(Converged Security Information Management) market of Korea was estimated to be 1.7 trillion KRW in 2010, and it has grown approximately 32% every year since. IDC forcasts this size to grow to 12.8 trillion KRW by 2018. Moreover, this case study exemplifies growing importance of CSIM market worldwide. Traditional CSIM solution consists of various security solutions(e.g. firewall, network intrusion detection system, etc.) and devices(e.g. CCTV, Access Control System, etc.). With this traditional solution, the the data collected from these is used to create events, which are then used by the on-site agents to determine and handle the situation. Recent development of IoT industry, however, has come with massive growth of IoT devices, and as these can be used for security command and control, it is expected that the overall amount of event created from these devices will increase as well. While massive amount of events could help determine and handle more situations, this also creates burden of having to process excessive amount of events. Therefore, in this paper, we discuss potential events that can happen in CSIM system and classify them into 3 groups, and present a model that can categorize and process these events effectively to increase overall efficieny of CSIM system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.553-564
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• 2012

Today's security initiatives tend to integrate the physical and information securities which have been run by completely separate departments. That is, the converged security management becomes the core in the security market trend. However, to the best of our knowledge, we cannot find any solutions how to combine these two security events for the converged security. In this paper, we propose an information security object-driven approach which utilizes the physical security events to enhance and improve the information security. For scalability, we also present a systematic method using the analytic hierarchy process finding the meaningful event combinations among the large number of physical security events. In particular, we show the whole implementation processes in detail where we consider the information security object 'illegal computing system access' combined with two physical security devices - access controller and CCTV+video analyzer system.

• ETRI Journal
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• v.44 no.2
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• pp.183-193
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• 2022

Smart cities are expected to provide residents with convenience via various agents such as CCTV, delivery robots, security robots, and unmanned shuttles. Environmental data collected by various agents can be used for various purposes, including advertising and security monitoring. This study suggests a surveillance map data framework for efficient and integrated multimodal data representation from multi-agents. The suggested surveillance map is a multilayered global information grid, which is integrated from the multimodal data of each agent. To confirm this, we collected surveillance map data for 4 months, and the behavior patterns of humans and vehicles, distribution changes of elevation, and temperature were analyzed. Moreover, we represent an anomaly detection algorithm based on a surveillance map for security service. A two-stage anomaly detection algorithm for unusual situations was developed. With this, abnormal situations such as unusual crowds and pedestrians, vehicle movement, unusual objects, and temperature change were detected. Because the surveillance map enables efficient and integrated processing of large multimodal data from a multi-agent, the suggested data framework can be used for various applications in the smart city.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.7B
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• pp.464-468
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• 2005

The DVR industry has been grown with their own, proprietary systems without the need of standards because the security products are independently installed in small scale and the communication needs are very limited. The industry might have tighter security than having standardized products, but the appearance of IP surveillance and the need of communications with IP products such as IP Phones and IP-PBX made the standardization unavoidable. In this paper, we built an IP surveillance system with SIP based session control and investigated the applications of it other than the security itself.