한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2015년도 추계학술발표대회
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- Pages.1354-1357
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- 2015
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
평상 색상 구분 알고리즘을 이용한 물고기 로봇 위치 검출 연구
A study of Detecting Fish Robot Position Using The Define Average Color Weight Algorithm
- 아마르나 와르마 앙가니 (부산외국어대학교일반대학원 ICT창의융합학과) ;
- 이주현 (부산외국어대학교 디지털미디어공학과) ;
- 신규재 (부산외국어대학교일반대학원 ICT창의융합학과)
- Angani, Amaranth Varma (Dept of ICT Creative Design, Graduate school, Busan University of Foreign Studies) ;
- Lee, Ju Hyun (Dept of Digital Media Engineering, Busan University of Foreign Studies) ;
- Shin, Kyoo Jae (Dept of ICT Creative Design, Graduate school, Busan University of Foreign Studies)
- 발행 : 2015.10.28
초록
In this paper, the designed fish robot is researched and developed for aquarium underwater robot. This paper is a study on how the outside technology merely to find the location of fish robots without specific sensor or internal devices for these fish robot. The model of the fish is designed to detect the position of the optical flow of the Robotic Fish in the Simulink through Matlab. This paper intends to recognize the shape of the tank via a video device such as a camera or camcorder using an image processing technique to identify the location of the robotic fish. Here, we are applied to the image comparing algorithm by using the average color weight algorithm method. In this, position coordinate system is used to find the position coordinates of the fish to identify the position of the Robotic fish. It was verified by the performance test of design robot.
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