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      영상 매칭 기반 실내 장소 안내 모바일 어플리케이션 = Image Matching-based Mobile Application Providing Indoor Place Information

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      https://www.riss.kr/link?id=A104983542

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      다국어 초록 (Multilingual Abstract)

      A person often needs to visit a facility that have not been visited before. In this case, it is necessary to easily identify the building in which the facility is located. Indoor navigation is also important, as the person may get lost due to the complex structure of buildings. To solve these problems, this paper presents a mobile application which provides a user with indoor place information and indoor navigation.
      A user is requested to take a photograph of a building of interest or of the current location. Then, the proposed application identifies the building of interest or the current location of the user by utilizing an image matching technique. For fast matching, database filtering by using GPS/magnetometer data and pre-extraction of features for images in the database are utilized. In case of indoor navigation, the application provides the actual images of check points as well as the moving direction. Simulation results show that the proposed system successfully identifies the location of users and provides place information and indoor navigation.
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      A person often needs to visit a facility that have not been visited before. In this case, it is necessary to easily identify the building in which the facility is located. Indoor navigation is also important, as the person may get lost due to the comp...

      A person often needs to visit a facility that have not been visited before. In this case, it is necessary to easily identify the building in which the facility is located. Indoor navigation is also important, as the person may get lost due to the complex structure of buildings. To solve these problems, this paper presents a mobile application which provides a user with indoor place information and indoor navigation.
      A user is requested to take a photograph of a building of interest or of the current location. Then, the proposed application identifies the building of interest or the current location of the user by utilizing an image matching technique. For fast matching, database filtering by using GPS/magnetometer data and pre-extraction of features for images in the database are utilized. In case of indoor navigation, the application provides the actual images of check points as well as the moving direction. Simulation results show that the proposed system successfully identifies the location of users and provides place information and indoor navigation.

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      참고문헌 (Reference)

      1 안병민, "인공 부착 마커를 활용한 실내 위치 및자세 추정 알고리즘" 한국멀티미디어학회 19 (19): 240-251, 2016

      2 김청미, "실내위치인식기술동향" 한국컴퓨터정보학회 21 (21): 17-24, 2016

      3 "iBeacon for Developers by Apple Inc"

      4 정승혁, "WPS(WiFi Positioning System & Service) 동향" 한국전자통신학회 6 (6): 433-438, 2011

      5 H. Bay, "Speeded-up Robust Features" 110 (110): 346-359,

      6 S. S. Hwang, "Pre-extraction of Features and Environment Variable-based Database Filtering for Fast Image Matching on Mobile" 391 : 223-230, 2016

      7 "KYOBO Life Insurance Inc"

      8 "Indoor Map Service in Seoul"

      9 "Handong Global University Campus Map"

      10 D. G. Lowe, "Distinctive Image Features from Scale-invariant Keypoints" 60 (60): 91-110, 2004

      1 안병민, "인공 부착 마커를 활용한 실내 위치 및자세 추정 알고리즘" 한국멀티미디어학회 19 (19): 240-251, 2016

      2 김청미, "실내위치인식기술동향" 한국컴퓨터정보학회 21 (21): 17-24, 2016

      3 "iBeacon for Developers by Apple Inc"

      4 정승혁, "WPS(WiFi Positioning System & Service) 동향" 한국전자통신학회 6 (6): 433-438, 2011

      5 H. Bay, "Speeded-up Robust Features" 110 (110): 346-359,

      6 S. S. Hwang, "Pre-extraction of Features and Environment Variable-based Database Filtering for Fast Image Matching on Mobile" 391 : 223-230, 2016

      7 "KYOBO Life Insurance Inc"

      8 "Indoor Map Service in Seoul"

      9 "Handong Global University Campus Map"

      10 D. G. Lowe, "Distinctive Image Features from Scale-invariant Keypoints" 60 (60): 91-110, 2004

      11 "COEX"

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.61 0.61 0.56
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.49 0.44 0.695 0.15
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