Journal of Internet of Things and Convergence (사물인터넷융복합논문지)

The Korea Internet of Things Society (한국사물인터넷학회)
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A Study on the Multi-Laser Image Tracking Method using the Latest Approach Angle

최근접 각도를 이용한 복수 레이저 영상 추적 방법 연구

  • Jo, Jin-Pyo (Dept of Computer Engineering, Hanbat University) ;
  • Ko, Ho-Jeong (Dept of Information and Communication System, Korea Polytechnics) ;
  • Kim, Jeong-Ho (Dept of Computer Engineering, Hanbat University)
  • 조진표 (한밭대학교 컴퓨터공학과 대학원) ;
  • 고호정 (한국폴리텍대학교 정보통신시스템과) ;
  • 김정호 (한밭대학교 컴퓨터공학과)
  • Received : 2020.05.02
  • Accepted : 2020.06.18
  • Published : 2020.06.30
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Abstract

The paper proposed the method of calculating the latest approach angle that can reliably recognize multiple laser images even with the change in separation distance between screen and laser launch device. This method recognizes the angle of the laser pattern angle by using the distance of the laser pattern angle, and the angle extraction of the laser detects the laser image from the acquired image using the labeling algorithm, and performs the huff conversion to extract the angle of the straight line. The distance of the reference angle and angle of the laser image extracted using Euclidean distance among similarity scales is calculated, and the furnace is recognized using the calculated distance result value. Experiments with changing the separation distance to "200 cm to 400 cm" showed 100% recognition of individual strands at all separation distances. The experiment confirmed the reliability of the proposed method.

본 논문은 스크린과 레이저 발사장치의 이격거리 변화에도 복수 개의 레이저 영상을 안정적으로 인식할 수 있는 최근접 각도 계산 방법을 제안하였다. 이 방법은 레이저 패턴 각도의 거리를 이용하여 사로를 인식하는 방법으로 레이저의 각도 추출은 레이블링 알고리즘을 이용하여 획득된 영상으로부터 레이저 영상을 검출하고, 허프 변환을 수행하여 직선의 각도를 추출한다. 유사성 척도 중 유클리드 거리를 이용하여 추출한 레이저 영상의 각도와 기준 각도의 거리를 계산하고, 계산된 거리 결과값을 이용하여 사로를 인식한다. 이격 거리를 "200cm~400cm"로 변경하면서 실험한 결과, 모든 이격 거리에서 개별 사로를 100% 인식했다. 실험을 통해 제안한 방법의 신뢰성을 확인하였다.

Keywords

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