부산대학교 도서관

In recent years, various studies on anthropometry using video images have been actively conducted. Of those applications, the measurement of eye movements is expected in fields such as medical care, and human interface. The eye movements include horizontal and vertical translations due to the movement of the gaze and torsional eye movements. This paper proposes a method for accurately measuring the torsional eye movement, which is generally considered difficult to measure with high accuracy. We have improved the Monte Carlo filter, which was traditionally used for object tracking in translational motion, so that it can also measure rotational motion. Evaluation experiments indicated that the measurement error using the proposed method was in a range between 0.07±0.49° to -0.03±0.54°, while the measurement accuracy of the conventional matching method was 0.28±0.81°. In addition, the results suggest that the proposed method can measure even a blurred iris image with a relatively small error.