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A novel energy based filter for cross-blink eye detection

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4 Author(s)
T. Hoang Ngan Le ; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA ; Khoa Luu ; Utsav Prabhu ; Marios Savvides

Based on the fact that eye regions may be considered as a sequence of consecutive low and high spatial frequency regions, we propose a novel and efficient filter based on Isotropic Gaussian Energy which can be used for eye detection. When applied to facial images, the designed filter highlights the eye region with a prominent pattern, which can then be localized by template matching technique such as MACE correlation filter. The proposed filter is proved useful to detect both open and closed eyes. We demonstrate the effectiveness of the proposed filter by conducting experiments on both FERET and MBGC face databases.

Published in:

2012 19th IEEE International Conference on Image Processing

Date of Conference:

Sept. 30 2012-Oct. 3 2012