Publications
Detailed Information
두 대의 적외선 카메라를 이용한 헤드 트랙커 시스템 : Head Tracker System Using Two Infrared Cameras
Cited 0 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Issue Date
- 2006-05
- Citation
- 한국항공우주학회지, 제34권 제5호, 2006, pp.81~87
- Keywords
- 특징점 추출 알고리즘 ; 3차원 움직임 추정 알고리즘 ; 확장 칼만 필터 ; feature detection algorithm ; 3D motion estimation algorithm ; extended Kalman filter
- Abstract
- In 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.
- ISSN
- 1225-1348
- Language
- Korean
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.