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eyeball detection

Circular Hough transform is unlikely to work well in the majority of cases i.e. where the eye is partially open or closed. You'd be better off isolating rectangular regions (bounding boxes) around the eyes and computing a measure based on pixel intensities (grey levels). For example the variance of pixels within the region would be a good discriminator between open and closed eyes. Obtaining a bounding box around the eyes can be done quite reliably using relative position from the bounding box detected around the face using OpenCV Haar cascades. Figure 3 in this paper gives some idea of the location process.

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