한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)

한국정보처리학회 (Korea Information Processing Society)
권호 표지
DOI QR코드

DOI QR Code

이미지 비교 알고리즘을 이용한 물고기 로봇 위치 탐지 연구

A Study of Detecting Fish Robot Position using the Comparing Image Data Algorithm

  • 요겐드라 라오 무수누리 (부산외국어대학교 일반대학원, ICT 창의융합학부) ;
  • 전우열 (부산외국어대학교 일반대학원, ICT 창의융합학부) ;
  • 신규재 (부산외국어대학교 일반대학원, ICT 창의융합학부)
  • Musunuri, Yogendra Rao (Dept. of ICT Creative Design, Graduate School, M.S.Course, Busan University of Foreign Studies) ;
  • Jeon, UYeol (Dept. of ICT Creative Design, Graduate School, M.S.Course, Busan University of Foreign Studies) ;
  • Shin, KyooJae (Dept. of ICT Creative Design, Graduate School, M.S.Course, Busan University of Foreign Studies)
  • 발행 : 2015.10.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

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. This model is designed to detect the position of the Robotic Fish in the Mat lab and Simulink. This 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 fishes. Here, we are applied the two methods, one is Hom - Schunk Method and second one is newly proposed method that is the comparing image data algorithm. The Horn - Schunck Method is used to obtain the velocity for each pixel in the image and the comparing image data algorithm is proposed to obtain the position with comparing two video frames and assumes a constant velocity in each video frame.

키워드