Journal of the Korean Institute of Electrical and Electronic Material Engineers (한국전기전자재료학회논문지)

The Korean Institute of Electrical and Electronic Material Engineers (한국전기전자재료학회)
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A Real-time Indoor Place Recognition System Using Image Features Detection

영상 특징 검출 기반의 실시간 실내 장소 인식 시스템

  • Song, Bok-Deuk (Department of IT Application Engineering, Busan National University) ;
  • Shin, Bum-Joo (Department of IT Application Engineering, Busan National University) ;
  • Yang, Hwang-Kyu (Division of Computer and Information Engineering, Dongseo University)
  • 송복득 (부산대학교 생명자원과학대학 IT응용공학과) ;
  • 신범주 (부산대학교 생명자원과학대학 IT응용공학과) ;
  • 양황규 (동서대학교 컴퓨터정보공학부 소프트웨어공학)
  • Received : 2011.12.20
  • Accepted : 2011.12.24
  • Published : 2012.01.01
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Abstract

In a real-time indoor place recognition system using image features detection, specific markers included in input image should be detected exactly and quickly. However because the same markers in image are shown up differently depending to movement, direction and angle of camera, it is required a method to solve such problems. This paper proposes a technique to extract the features of object without regard to change of the object scale. To support real-time operation, it adopts SURF(Speeded up Robust Features) which enables fast feature detection. Another feature of this system is the user mark designation which makes possible for user to designate marks from input image for location detection in advance. Unlike to use hardware marks, the feature above has an advantage that the designated marks can be used without any manipulation to recognize location in input image.

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References

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