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사회안전을 위한 지능형 영상감시분석시스템

A Study on Analysis of Intelligent Video Surveillance Systems for Societal Security

  • Kang, Heau-Jo (Division of Convergence Computer & Media, Mokwon University)
  • 투고 : 2016.08.01
  • 심사 : 2016.08.28
  • 발행 : 2016.08.31

초록

재난은 다양성, 복잡성, 불가측성 등으로 현대사회의 특성과 유기적 관계가 있기 때문에 그 관리의 효율성을 위해 다양한 접근과 복합적인 처방으로 대국민에게 재난의 불안을 해소해 주어야 한다. 이에 따라 본 논문에서는 사회안전을 위한 지능형 영상감시 분석시스템의 구축방안과 이의 응용과 그 활용성의 장단점을 검토하였으며, 향후 제안 서비스가 사회안전을 위한 영상감시 시스템으로써 종합적인 도시 관제기능을 수행하면서 국민의 안전을 보장하고, 범죄와 사고를 예방하며, 범법행위를 사전에 단속하여 공공시설물과 국민의 재산을 보호할 것으로 기대된다.

Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, in this paper we review the building plans and its application and its application Province pros and cons of intelligent video surveillance analysis system for social security, the future proposed service is the safety of people while performing a comprehensive urban traffic control functions as a video monitoring system for social security and to ensure, to prevent crime and accidents, it is to crack down on criminal offenses in advance expected to protect the property of citizens and public facilities.

키워드

참고문헌

  1. Heaujo Kang, Information and Communication Technology (ICT) based on a Smart Disaster, Disaster Focus, pp. 48-49, Sep. 2010.
  2. Heaujo Kang, Video Surveillance System for Smart Management Disaster and Applications, KONI, Vol. 15 No. 6, pp. 1234-1240, Dec. 2011.
  3. ISO/DIS 22311 Video surveillance format for interoperability.
  4. NEMA, Smart Disaster Management Plan, July 2011.
  5. H. Kruegle, CCTV Surveillance: Analog and Digital Video Practices and Technology, Elsevier, 2007.
  6. Youngmi Han, Hyeonbeom Seo, 'Disaster Response Times utilizing Smart Mobile and Socialmedia best Practices Analysis', IT&Society, vol. 7, KISA, pp. 1-22, Nov. 2011.
  7. National Internet Development Agency of Korea, "Disaster management plan utilizing mobile and social media", Internet & Security Issues, pp. 50-53, April 2010.
  8. Yun Young Nam, Yoo joo Choi, Sangjin Hong, Weduke Cho, Intelligent Video Surveillance Systems Principles and Applications, Jinhan M&B, pp.22-36, 2011.
  9. Rustom Kanga, Ivy Li, Shereen Fink, Andy Kuzman, Marlen Kanga, P. Brian Lovell and, O. D Souza, Automated Surveillance : A Guide to Intelligent Video Analysis, iOmniscient Corporation, pp. 82-127, 2013.
  10. http://www.sstkr.com/

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