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A ROBUST HUMAN-EYE TRACKING METHOD IN VIDEO SEQUENCES

机译:视频序列中强大的人眼跟踪方法

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An accurate tracking method of the human eyes in video sequence is proposed. The method consists of the following two systems. (1) The first system extracts a region including the both eyes by using a statistical processing. By the processing, the extracted region does not include the other features, especially such as the hair. (2) The second system, which is realized with the circle-frequency filter (CFF), locates each eye position from the region extracted by the first system. Since the output of the CFF is robust to luminescent noise near the eyes, it can successfully obtain the exact eyelocation inside of the above region without any noise effect. Consequently, the combination of these two systems makes the proposed method correctly track the eyes without any learning schemes, templates, and geometric relations of the other facial features. Experimental results verify that the proposed method achieves accurate eye-tracking.
机译:提出了一种视频序列中的人眼的准确跟踪方法。该方法包括以下两个系统。 (1)第一系统通过使用统计处理提取包括双眼的区域。通过处理,提取的区域不包括其他特征,特别是诸如头发。 (2)用圆频滤波器(CFF)实现的第二系统,从第一系统中提取的区域定位每个眼睛位置。由于CFF的输出具有鲁棒的发光噪声在眼睛附近,因此可以在没有任何噪声的情况下成功地获得上述区域内的精确眼部。因此,这两个系统的组合使得所提出的方法正确地跟踪眼睛而没有其他面部特征的任何学习方案,模板和几何关系。实验结果验证了所提出的方法达到精确的追踪。

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