• 제목/요약/키워드: surveillance and monitoring

검색결과 512건 처리시간 0.046초

도시철도 지능형 종합감시시스템의 효율적 구성방안 (An Efficient Configuration of the Intelligent Surveillance System for Urban Transit)

  • 안태기;신정렬;한석윤;이원재;윤병주;김형민
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2009년도 춘계학술대회 논문집
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    • pp.466-471
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    • 2009
  • Most surveillance systems of urban transit are based on CCTV(Closed Circuit Television). However, there is limitation that the passive monitoring system using CCTV in urban transit surveillance system to monitor massive environment applies thousands of cameras and it depends on operator's instinctive judgement whether it happens an accident or disaster. Urban transit operation corporations try to introduce the intelligent technology to overcome these problems as mentioned above. The intelligent system can be organized various ways and made configuration for purpose and function. In this paper, we describe the configuration problems of the existing surveillance system and propose the proper intelligent system configuration for urban transit We expect that the proposed configurations are very helpful to introduce the intelligent technology for urban transit surveillance system.

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다수의 해안감시 레이더자료 전시 기법 (Displaying Multiple Maritime Surveillance Radar Data)

  • 황규환;김문기;강도근
    • 전기학회논문지
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    • 제61권7호
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    • pp.1041-1048
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    • 2012
  • We display important test information from radar, telemetry in real time for monitoring and control of guided missile flight test. Clearing test area is the most important thing for safety. Thus, we have to constantly monitor and control ships around the test area. Several maritime surveillance radars are deployed around the test area for that purpose. However, multiple points are displayed for the same target when using multiple surveillance radars and this confuses the test personnel during the mission. In this paper, we suggested a method to solve this problem by analyzing error factor of surveillance radar and comparing the correlation of each radar data.

M2M기반 인물 정보 모니터링 시스템 (M2M based personage information monitoring system)

  • 이종성;전민호;오창헌
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 춘계학술대회
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    • pp.1000-1003
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    • 2013
  • 감시카메라를 이용한 모니터링 시스템은 범죄 사각지대를 실시간으로 관찰이 가능한 장점이 있어 장착하는 사례가 증가하고 있다. 하지만 감시카메라는 범죄 발생 전 사전 위험감지 보다 범죄 발생 후 검증의 목적으로 사용된다. 따라서 본 논문은 감시카메라를 이용한 모니터링 시스템에서 취약한 정보수집을 보완하기 위해 스마트폰의 위치정보를 활용하여 감시영역의 사람을 유추하고 이벤트 발생 시 영상정보 외 이동경로 및 유추한 사용자정보를 제공하는 IT융합 모니터링 시스템이다. 실험결과, 제안하는 시스템이 기존의 시스템보다 활용성 및 효율성이 향상됨을 확인하였다.

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Multimodal layer surveillance map based on anomaly detection using multi-agents for smart city security

  • Shin, Hochul;Na, Ki-In;Chang, Jiho;Uhm, Taeyoung
    • ETRI Journal
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    • 제44권2호
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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.

지능형 감시를 위한 객체추출 및 추적시스템 설계 및 구현 (A Study on the Object Extraction and Tracking System for Intelligent Surveillance)

  • 장태우;신용태;김종배
    • 한국통신학회논문지
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    • 제38B권7호
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    • pp.589-595
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    • 2013
  • 최근 보안 관제를 위한 인원부족 및 감시 능력의 한계로 자동화된 지능형 관제 시스템에 대한 요구가 증가하고 있다. 이 논문에서는 지능형 감시시스템의 구축을 위하여 자동화된 객체추출 및 추적 시스템, 그리고 이상행위를 인지하는 이상행위 검출 시스템을 설계하고 구현하였다. 각 모듈은 기존의 연구 결과를 바탕으로 실제 환경에서 적용되고 상용화가 가능하도록 알고리즘의 성능을 높였으며, 구현 후 다양한 테스트를 통해 그 성과를 검증하였다. 특히, 배회 또는 도주와 같은 이상행위의 경우 1초 이내에 검출할 수 있었다.

지능형 사건 처리를 강조한 협업 감시 시스템 (Emphasizing Intelligent Event Processing Cooperative Surveillance System)

  • 윤태호;송유승
    • 대한임베디드공학회논문지
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    • 제7권6호
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    • pp.339-343
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    • 2012
  • Security and monitoring system has many applications and commonly used for detection, warning, alarm, etc. As the networking technology advances, user requirements are getting higher. An intelligent and cooperative surveillance system is proposed to meet current user demands and improve the performance. This paper focuses on the implementation issue for the embedded intelligent surveillance system. To cover wide area cooperative function is implemented and connected by wireless sensor network technology. Also to improve the performance lots of sensors are employed into the surveillance system to reduce the error but improve the detection probability. The proposed surveillance system is composed of vision sensor (camera), mic array sensor, PIR sensor, etc. Between the sensors, data is transferred by IEEE 802.11s or Zigbee protocol. We deployed a private network for the sensors and multiple gateways for better data throughput. The developed system is targeted to the traffic accident detection and alarm. However, its application can be easily changed to others by just changing software algorithm in a DSP chip.

도시 안전을 위한 블록체인 기반의 감시카메라 영상 관리 시스템 모델 및 설계 방법 (Block-Surveillance: Blockchain-based Surveillance Camera Video Management System Model and Design Method for City Safety)

  • 이지운;서희석
    • 스마트미디어저널
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    • 제13권4호
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    • pp.65-75
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    • 2024
  • 이 논문에서는 현대 도시 관리에 필수적인 요소로 자리 잡은 비디오 감시 시스템에 대한 새로운 접근 방식을 제안한다. 블록체인과 IPFS를 활용하여 데이터의 무결성과 프라이버시 보호를 강화하고, 객체 탐지 기술을 통해 이상 행위 탐지 및 영상 자동 저장함으로써 도시 안전과 보안을 향상시킬 수 있다. 이 통합 접근법은 감시 시스템의 효율적인 관리 방법론이 되어 도시 관리자와 시민들에게 더 안전하고 효율적인 감시 환경을 제공할 것이다.

건설 현장 CCTV 영상에서 딥러닝을 이용한 사물 인식 기초 연구 (A Basic Study on the Instance Segmentation with Surveillance Cameras at Construction Sties using Deep Learning based Computer Vision)

  • 강경수;조영운;류한국
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2020년도 가을 학술논문 발표대회
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    • pp.55-56
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    • 2020
  • The construction industry has the highest occupational fatality and injury rates related to accidents of any industry. Accordingly, safety managers closely monitor to prevent accidents in real-time by installing surveillance cameras at construction sites. However, due to human cognitive ability limitations, it is impossible to monitor many videos simultaneously, and the fatigue of the person monitoring surveillance cameras is also very high. Thus, to help safety managers monitor work and reduce the occupational accident rate, a study on object recognition in construction sites was conducted through surveillance cameras. In this study, we applied to the instance segmentation to identify the classification and location of objects and extract the size and shape of objects in construction sites. This research considers ways in which deep learning-based computer vision technology can be applied to safety management on a construction site.

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