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국내 최대 기계·건설 공학연구정보
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  • MBD for ANSYS
  • 국내학술지

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    국내학술지 제목 게시판 내용
    제목(국문) 걸음걸이 인식을 통한 연령 및 성별 분류 방법
    제목(영문) Method for Classification of Age and Gender Using Gait Recognition
    저자 유현우 (Hyun Woo Yoo ,MBC 기술연구소 ) ▷공저자네트워크등록하기
    권기연 (Ki-Youn Kwon ,금오공과대학교 산업공학부 ) ▷공저자네트워크등록하기
    초록
    초록(영문)

    Classification of age and gender has been carried out through different approaches such as facial-based and
    audio-based classifications. One of the limitations of facial-based methods is the reduced recognition rate over large
    distances, while another is the prerequisite of the faces to be located in front of the camera. Similarly, in audio-based
    methods, the recognition rate is reduced in a noisy environment. In contrast, gait-based methods are only required that a
    target person is in the camera. In previous works, the view point of a camera is only available as a side view and gait
    data sets consist of a standard gait, which is different from an ordinary gait in a real environment. We propose a feature
    extraction method using skeleton models from an RGB-D sensor by considering characteristics of age and gender using
    ordinary gait. Experimental results show that the proposed method could efficiently classify age and gender within a
    target group of individuals in real-life environments.

    keyword Gait Recognition(걸음걸이 인식), Age Classification(나이 분류), Gender Classification(성별 분류),
    Pattern Analysis(패턴 분석)
    저널명 대한기계학회논문집 A ▷관련저널보기
    VOL 41
    PAGE 1035
    발표년도 2017
    국문File 국문다운로드
    영문File
    • 페이스북아이콘
    • 트위터 아이콘

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