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두 대의 적외선 카메라를 이용한 헤드 트랙커 시스템
Head Tracker System Using Two Infrared Cameras

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dc.contributor.author홍석기-
dc.contributor.author박찬국-
dc.date.accessioned2009-09-20T08:40:38Z-
dc.date.available2009-09-20T08:40:38Z-
dc.date.issued2006-05-
dc.identifier.citation한국항공우주학회지, 제34권 제5호, 2006, pp.81~87en
dc.identifier.issn1225-1348-
dc.identifier.urihttps://hdl.handle.net/10371/9661-
dc.description.abstractIn this paper, an experimental optical head tracker system is designed and constructed. The system is composed of the infrared LEOs and two infrared CCO cameras to filter out the interference of another light in the limited environment like the cockpit. Then the optical head tracker algorithm is designed by using the feature detection algorithm and the 3D motion estimation algorithm. The feature detection algorithm, used to obtain the 20 position coordinates of the features on the image plane, is implemented by using the thresholding and the masking techniques. The 3D motion estimation algorithm which estimates the motion of a pilot's head is implemented by using the extended Kalman filter (EKF). Also, we used the precise rate table to verify the performance of the experimental optical head tracker system and compared the rotational performance of this system with the inertial sensor.en
dc.description.sponsorship본 연구는 국방과학연구소 및 서울대학교 비행체특화연구센터의 연구비 지원에 의한 연구결과입니다.en
dc.language.isoko-
dc.publisher한국항공우주학회 = The Korean Society for Aeronautical & Space Sciencesen
dc.subject특징점 추출 알고리즘en
dc.subject3차원 움직임 추정 알고리즘en
dc.subject확장 칼만 필터en
dc.subjectfeature detection algorithmen
dc.subject3D motion estimation algorithmen
dc.subjectextended Kalman filteren
dc.title두 대의 적외선 카메라를 이용한 헤드 트랙커 시스템en
dc.title.alternativeHead Tracker System Using Two Infrared Camerasen
dc.typeArticleen
dc.contributor.AlternativeAuthorHong, Seokki-
dc.contributor.AlternativeAuthorPark, Changook-
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Journal Papers (저널논문_기계항공공학부)
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