사물인터넷융복합논문지 (Journal of Internet of Things and Convergence)

한국사물인터넷학회 (The Korea Internet of Things Society)
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k-means 클러스터링을 이용한 CCTV의 효율적인 운영 설계

Design of video surveillance system using k-means clustering

  • 홍지훈 (백석대학교 정보통신학부) ;
  • 김승호 (백석대학교 정보통신학부) ;
  • 이근호 (백석대학교 정보통신학부)
  • Hong, Ji-Hoon (Dept. of Information Communication, BaekSeok University) ;
  • kim, Seung ho (Dept. of Information Communication, BaekSeok University) ;
  • Lee, Keun-Ho (Dept. of Information Communication, BaekSeok University)
  • 투고 : 2017.04.10
  • 심사 : 2017.05.14
  • 발행 : 2017.09.30
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초록

CCTV 기술이 발달하면서 여러 분야에서 사용하고 있다. 현제 CCTV 운영에 대해서 구체적으로 알아보고자 하며 또한 많은 분야에서 CCTV가 생기면서 운영에 대한 문제점이 생기고 있는데 문제점을 해결하기 위해 새로운 시스템을 설계하고자한다. 본 논문에서는 CCTV가 효율적으로 운영될 수 있도록 K-means을 이용하여 데이터 분석을 진행하고 영상기술도 증가시키고 효율적으로 운영이 가능하도록 기존 시스템에 새로운 기술을 및 기능을 추가하여 문제점을 해결하고 더 좋은 기술로 발전하고자 한다. 또한 관제센터에서 효율적으로 CCTV를 운영할 수 있도록 k-means를 이용하여 CCTV 기술에 새로운 시스템을 설계하여 문제점을 해결 효율적 관리를 위해 제안하고자 한다.

As CCTV technology develops, it is used in various fields. Currently, we want to know about CCTV operation in detail. In addition, CCTV in many fields is causing problems in operation. We plan to design a new system to solve the problem. In this paper, we analyze data using K-means so that CCTV can be operated efficiently, add new technology and function to existing system to increase image technology and operate efficiently, Technology. In addition, we will design a new system for CCTV technology using k-means so that the CCTV can be efficiently operated in the center, and propose the problem to solve the problem.

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