• Title/Summary/Keyword: CCTV위치

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Quantitative Evaluation on Surveillance Performance of CCTV Systems Based on Camera Modeling and 3D Spatial Analysis (카메라 모델링과 3차원 공간 분석에 기반한 CCTV 시스템 감시 성능의 정량적 평가)

  • Choi, Kyoungah;Lee, Impyeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.2
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    • pp.153-162
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    • 2014
  • As CCTVs are widely utilized in diverse fields, many researchers have continuously studied to improve the surveillance performances of a CCTV system. However, an quantitative evaluation approach about the surveillance performance has rarely been researched. Therefore, we set up the research for suggesting a quantitative evaluation approach to determine the effectiveness of CCTV coverages. We firstly defined the surveillance resolution as that varies according to object's positions and orientations. Based on the definition, we computed surveillance resolution values at all three-dimensional positions with the orientations of interests in the specified space. By comparing these values to the required reasonable resolution, we determined the surveillance performance index indicating how well a CCTV system monitor a target space for specific surveillance objectives. This proposed approach evaluates the surveillance performance of a CCTV system quantitatively, so as examines the CCTV system design before its installation based on precise 3D spatial analysis.

Moving Object Tracing System using Network-connected CCTV and Smartphone (네트워크 CCTV와 스마트 단말기를 연동한 이동체 추적 시스템)

  • Lim, Seungkyun;Lee, Sangwook
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.519-529
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    • 2013
  • This paper introduces a moving object tracing system using network-connected CCTV and smartphone. In an emergency situation, a smartphone of the reporter gains its GPS information and sends that to the central server. The central server stores received GPS information as a dangerous area in the database and keeps sending the order of tracing the reporter to a network-connected CCTV which can film the reporter. At the same time, the central server sends pictures of the reporter to his or her family and related organization in order to handle the emergency situation as soon as possible. In addition, when a reporter want to know the risk around destination, the central server informs dangerous areas to the reporter by using smart phone application and database of a danger spot.

Visualization Design of Monitoring System using Mash-up Method (Mash-up기법을 활용한 모니터링 시스템의 시각화기법)

  • Kim, Joohwan;Nam, Doohee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.3
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    • pp.69-74
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    • 2014
  • Numerious agencies are trying to install many surveilance systems in their jurisdiction. A mashup,is a page, or application, that uses content from more than one source to create a single new service displayed in a single graphical interface. The main characteristics of a mashup are combination, visualization, and aggregation. It is important to make existing data more useful, for personal and professional use. To be able to permanently access the data of other services, mashups are generally client applications or hosted online. This study is utilizing mash-up technology to provide suitable location scheme for monitoring and surveilance system in order to utilize existing infrastructure and to provide better service to the public.

Implementation of Smart Safe Return Service Supporting Multiple Users (복수의 이용자를 지원하는 스마트 안심귀가 서비스의 구현)

  • Lee, Keonbae
    • Journal of IKEEE
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    • v.19 no.4
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    • pp.472-478
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    • 2015
  • When user wants to receive a smart safe return service, user sends a service request using a smart device to support GPS location data. After the smart safe return system receives the location of user, it selects the neighboring CCTV cameras based on user's location information, and controls the selected CCTV cameras to take a picture of the user, and to chase the user automatically. This service can be useful when there is a crime-ridden district on the path to return home late at night. Previous systems can't provide the smart safe return service to multiple user simultaneously. In this paper, we propose the smart safe return system which can provide the service to multiple users simultaneously.

Implementation of CCTV Safe Return Home Service considering Distance and Service Rate (거리 및 서비스율을 고려한 CCTV 안심귀가 서비스의 구현)

  • Lee, Keonbae
    • 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.

Real-time Harbor Monitoring System using HD-CCDV

  • Jang, Seon-Bong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2011.06a
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    • pp.161-163
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    • 2011
  • 최근 몇 년사이 CCTV에 대한 활용도와 중요성이 대두되고 있으며, CCTV의 해상도 또한 SD급 CCTV에서 HD급 CCTV로 대부분 전환되고 있는 상황이다. HD급 CCTV는 고화질, 고해상도를 제공하는 장점을 갖지만, 많은 데이터 량으로 인해 실시간 처리가 어려운 문제점 또한 포함하고 있다. 또한 CCTV는 지능형 CCTV로의 기술적인 진보를 거듭하고 있으며, 대표적인 solution으로 증강현실(AR:Augmented Reality)을 꼽을 수 있다. 본 논문에서는 HD-CCTV의 최대 장점이라고 할 수 있는 실시간 영상에 선박의 정보(AIS : Automatic Identification System)을 결합하여 실시간으로 항만을 모니터링 하는 시스템을 구현하였다. 또한 750mm Zoom Lens를 탑재한 PanTilt 장비를 이용하여 선박을 targeting 하는 시스템 또한 구현하였다. 증강현실을 이용하여 실시간 영상과 선박 정보를 결합하였으며, 이를 구현하기 위해 perspective projection 방법을 통해 3차원 공간좌표계를 2차원으로 투영하였다. 실시간 처리를 위해 입력영상을 Block으로 분할하여 목적 좌표를 검색하였으며, 선박정보의 부드러운 이동을 위해 Dead Reckon 기법과 linear prediction 방법을 이용하여 선박 위치를 예측하였다. 마지막으로 삼각측량법에 기반하여 현재 PanTilt 장비를 목적된 장소로 이동시키는 시스템을 구현하였다.

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Study on U-City Infra Based Realtime Children Anti-abduction System (U-City Infra 기반 실시간 어린이 유괴방지 시스템 연구)

  • Jo, Byung-Wan;Jun, Woo-Hyun;Lee, Kay-Sam;Park, Jung-Hoon;Yoon, Kwang-Won;Lee, Kyung-Soo
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2009.04a
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    • pp.467-470
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    • 2009
  • 본 논문에서는 유비쿼터스 기반 인프라를 이용한 실시간 유괴방지 시스템을 구축하였다. 급속한 사회 발전과 더불어 강력사건이 증가되고 있으며 그중에서 어린이 유괴 범죄 같이 질적으로 흉악한 범죄가 해마다 증가되고 있는 실정이다. 이러한 유괴 범죄를 예방하기 위하여 현재 GPS(Global Positioning System)을 이용한 위치인식 기술 및 이동통신 기지국을 이용한 위치인식 기술이 사용되고 있다. 단순히 위치인식 기술은 위험상황이 발생하였을 때, 상황을 정확히 인지하기 어려워 유괴된 어린이 44%가 1시간 이내 사망하고 74%가 3시간 이내 사망 한다는 통계를 감안하면 기존 시스템은 어린이 생명 보호 능력에 한계가 있다. 본 연구에서는 유비쿼터스 도시 기반 인프라를 구축하여 WPAN(Wireless Personal Area Network)환경에서 RF만으로 거리 측정이 가능한 IEEE 802.15.4a의 ISM Band CSS(Chirp Spread Spectrum)방식을 이용하여 보다 저 전력으로 정확한 위치정보 시스템을 적용하였다. 이에 CSS방식을 통하여 얻은 위치정보를 지능형 CCTV와 융합하여 CCTV가 단말기 위치로 자동 초점하는 시스템을 구성하였다. 도시통합운영센터에서 상황을 정확히 인지하고 신속하게 출동할 수 있도록 단말기 위치를 지속적으로 요원의 PDA 및 핸드폰으로 통보하고 현장 주변의 미디어 보드 표시와 음성 경고로 경찰의 적절한 대응 및 주변의 도움을 받을 수 있는 시스템을 구성하였다.

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Research to improve the performance of self localization of mobile robot utilizing video information of CCTV (CCTV 영상 정보를 활용한 이동 로봇의 자기 위치 추정 성능 향상을 위한 연구)

  • Park, Jong-Ho;Jeon, Young-Pil;Ryu, Ji-Hyoung;Yu, Dong-Hyun;Chong, Kil-To
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.12
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    • pp.6420-6426
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    • 2013
  • The indoor areas for the commercial use of automatic monitoring systems of mobile robot localization improves the cognitive abilities and the needs of the environment with this emerging and existing mobile robot localization, and object recognition methods commonly around its great sensor are leveraged. On the other hand, there is a difficulty with a problem-solving self-location estimation in indoor mobile robots using only the sensors of the robot. Therefore, in this paper, a self-position estimation method for an enhanced and effective mobile robot is proposed using a marker and CCTV video that is already installed in the building. In particular, after recognizing a square mobile robot and the object from the input image, and the vertices were confirmed, the feature points of the marker were found, and marker recognition was then performed. First, a self-position estimation of the mobile robot was performed according to the relationship of the image marker and a coordinate transformation was performed. In particular, the estimation was converted to an absolute coordinate value based on CCTV information, such as robots and obstacles. The study results can be used to make a convenient self-position estimation of the robot in the indoor areas to verify the self-position estimation method of the mobile robot. In addition, experimental operation was performed based on the actual robot system.

Creation of Actual CCTV Surveillance Map Using Point Cloud Acquired by Mobile Mapping System (MMS 점군 데이터를 이용한 CCTV의 실질적 감시영역 추출)

  • Choi, Wonjun;Park, Soyeon;Choi, Yoonjo;Hong, Seunghwan;Kim, Namhoon;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.37 no.5_3
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    • pp.1361-1371
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    • 2021
  • Among smart city services, the crime and disaster prevention sector accounted for the highest 24% in 2018. The most important platform for providing real-time situation information is CCTV (Closed-Circuit Television). Therefore, it is essential to create the actual CCTV surveillance coverage to maximize the usability of CCTV. However, the amount of CCTV installed in Korea exceeds one million units, including those operated by the local government, and manual identification of CCTV coverage is a time-consuming and inefficient process. This study proposed a method to efficiently construct CCTV's actual surveillance coverage and reduce the time required for the decision-maker to manage the situation. For this purpose, first, the exterior orientation parameters and focal lengths of the pre-installed CCTV cameras, which are difficult to access, were calculated using the point cloud data of the MMS (Mobile Mapping System), and the FOV (Field of View) was calculated accordingly. Second, using the FOV result calculated in the first step, CCTV's actual surveillance coverage area was constructed with 1 m, 2 m, 3 m, 5 m, and 10 m grid interval considering the occluded regions caused by the buildings. As a result of applying our approach to 5 CCTV images located in Uljin-gun, Gyeongsnagbuk-do the average re-projection error was about 9.31 pixels. The coordinate difference between calculated CCTV and location obtained from MMS was about 1.688 m on average. When the grid length was 3 m, the surveillance coverage calculated through our research matched the actual surveillance obtained from visual inspection with a minimum of 70.21% to a maximum of 93.82%.