A Simple Approach to Video-Based 3D Eye Movement Measurement
Measurement of 3D eye movements by image processing of video data has recently been the subject of several publications. On the basis of the applied architecture, existing systems can be divided into three basic groups: I.) Images of the eyes are stored on video tapes prior to analysis (Clarke et al. 1991). This requires expensive time-base corrected analog video recorders, which often greatly decrease the quality of the image data due to noise. II.) Images are analysed online without storage of the video data (Steddin and Brandt 1995); thus, there is a risk of losing data, if the online detection of the pupil temporarily fails, or if torsion is not calculated properly. III.) More reliable semi-realtime systems detect the pupil online, and store only those parts of the image which are relevant for offline calculation of the eye’s torsion (Moore et al. 1991). This method has resulted in sampling rates of only a few frames per second due to the time-consuming online calculation of pupil position and eye torsion.
KeywordsHard Disk Video Data Ocular Torsion Offline Calculation Pupil Position
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