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Information about eye blink detection

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Emiliana 2020-01-03 17:08:12 +01:00 • committed by GitHub
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@ -41,7 +41,8 @@ Additional custom commandline arguments should be added one by one into elements
# General notes # General notes
* The tracking seems to be quite robust even with partial occlusion of the face, glasses or bad lighting conditions. * The tracking seems to be quite robust even with partial occlusion of the face, glasses or bad lighting conditions.
* There is no gaze direction tracking, and the model seems prone to thinking eyes are opened, even when they are closed. * To detect whether eyes are opened or closed, a threshold should be applied to the `rightEyeOpen`/`leftEyeOpen` fields. The landmark points are not very sensitive to this.
* While there is a gaze tracking model, its results are very noisy, so they are not yet accessible through the `OpenSee` component.
* Depending on the frame rate, face tracking can easily use up a whole CPU core. At 30fps for a single face, it should still use less than 100% of one core on a decent CPU. * Depending on the frame rate, face tracking can easily use up a whole CPU core. At 30fps for a single face, it should still use less than 100% of one core on a decent CPU.
* When setting the number of faces to track to a higher number than the number of faces actually in view, the OpenCV face detecter will attempt to find new faces every `--scan-every` frames. It can be quite slow, so try to set `--faces` no higher than the actual number of faces you are tracking. * When setting the number of faces to track to a higher number than the number of faces actually in view, the OpenCV face detecter will attempt to find new faces every `--scan-every` frames. It can be quite slow, so try to set `--faces` no higher than the actual number of faces you are tracking.