A study of pupil detection and tracking by image processing techniques for a human eye-computer interaction system

Abstract

The pupil detection and tracking is an important step for developing a human-computer interaction system. To develop a human eye-computer interaction system, we examine pupil detection and tracking by image processing techniques. In the image processing techniques, the illumination directly influences the image quality in general. If influences of illumination is little, we can obtain an image of good image quality. The subsequent image processing techniques are expected almost to succeed. In this paper, in order to avoid the influences of illumination, we have tried to combine the hardware constitution of an infrared light-emitting diode (LED) light, a sensitive infrared camera, and an infrared (IR) filter. In the experiment with this hardware constitution, we investigate the effects of the pupil detection and tracking by image processing techniques for a human eye-computer interaction system. Keywords-human-computer interaction; image processing techniques; pupil detection and tracking; sensitive infrared camera; infrared filter978-1-4799-8676-7/15/$31.

Pupil Detection and Tracking Based on a Round Shape Criterion by Image Pocessing Techniques for a Human Eye-Computer Interaction system

“…In order to detect a pupil more accurately, we have proposed to use a round shape criterion of a pupil part. A proposed method is based on the previously proposed method [9]. The hardware constitution is the same.…”

“…In a previous study [9], we have proposed a human eye-computer interaction system. The hardware constitution and pupil detection are described.…”

“…We want to use not a specific device but a more general device. Therefore, we proposed a hardware constitution of an infrared light-emitting diode (LED) light, a sensitive infrared camera, and an infrared (IR) filter for pupil detection and tracking, in order to avoid the influence of illumination [9]. From the experimental results, the combination of an infrared LED light, a sensitive infrared camera, and an IR filter yields a favorable performance.…”

“…However, detecting a pupil was still poor because only thresholding was carried out in a pupil image. The previously proposed method [9] has no consideration of a round shape criterion to detect a pupil part.…”

“…In Section II, a previously proposed method is described [9]. The hardware constitution and pupil detection are shown.…”