해양환경안전학회지 (Journal of the Korean Society of Marine Environment & Safety)

  • 제17권2호
  • /
  • Pages.131-136
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  • 2011
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  • 1229-3431(pISSN)
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  • 2287-3341(eISSN)
해양환경안전학회 (The Korean Society of Marine Environment and safety)
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컴퓨터 비젼을 이용한 선박 교통량 측정 및 항적 평가

The Vessels Traffic Measurement and Real-time Track Assessment using Computer Vision

  • 주기세 (목포해양대학교 해상운송시스템학부) ;
  • 정중식 (목포해양대학교 해상운송시스템학부) ;
  • 김철승 (목포해양대학교 해상운송시스템학부) ;
  • 정재용 (목포해양대학교 해상운송시스템학부)
  • Joo, Ki-Se (Division of Maritime Transportation System, Mokpo National Maritime University) ;
  • Jeong, Jung-Sik (Division of Maritime Transportation System, Mokpo National Maritime University) ;
  • Kim, Chol-Seong (Division of Maritime Transportation System, Mokpo National Maritime University) ;
  • Jeong, Jae-Yong (Division of Maritime Transportation System, Mokpo National Maritime University)
  • 투고 : 2011.02.11
  • 심사 : 2011.06.23
  • 발행 : 2011.06.30
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초록

컴퓨터 비젼을 이용한 항행선박의 항적을 계산하고 교통량을 측정하는 방법은 해양사고의 예방관점에서 사고발생 가능성 여부를 예측해 볼 수 있는 유용한 방법이다. 본 연구에서는 컴퓨터 비젼을 이용하여 영상축소, 미분연산자, 최대 최소값 등을 이용하여 선박을 인식한 후 실세계 상에서의 좌표 값을 계산하여 실시간 항적을 전자 해도에 표시함으로서 해상 구조물과의 충돌여부를 직접 육안으로 확인 할 수 있는 알고리즘을 개발하였다. 본 연구에서 개발된 알고리즘은 영역 정보를 기반으로 개발되었기 때문에 점 정보에 의존하고 있는 기존 레이더 시스템의 단점을 보완하는 장점을 지니고 있다.

The furrow calculation and traffic measurement of sailing ship using computer vision are useful methods to prevent maritime accident by predicting the possibility of an accident occurrence in advance. In this paper, sailing ships are recognized using image erosion, differential operator and minimax value, which can be verified directly because the calculated coordinates are displayed on electronic navigation chart. The developed algorithm based on area information of this paper has the advantage which is compared to the conventional radar system focused on point information.

키워드

참고문헌

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피인용 문헌

  1. Fundamental Research for Video-Integrated Collision Prediction and Fall Detection System to Support Navigation Safety of Vessels vol.35, pp.1, 2011, https://doi.org/10.26748/ksoe.2020.069