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http://dx.doi.org/10.5139/JKSAS.2006.34.5.081

Head Tracker System Using Two Infrared Cameras  

홍석기 (서울대학교)
박찬국 (서울대학교)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.34, no.5, 2006 , pp. 81-87 More about this Journal
Abstract
In this paper, an experimental optical head tracker system is designed and constructed. The system is composed of the infrared LEDs and two infrared CCD 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 2D 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.
Keywords
feature detection algorithm; 3D motion estimation algorithm; extended Kalman filter;
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