Face Detection With Eyes Movement Tracking

Eyes Movement Tracking

We have used multiple deep-learning models for eye movement tracking.
Firstly, the face is detected from the input video using a face detection model. The detected face is passed to the eye detection model and head pose estimation model. The head-pose angle and the detected left and right eyes are passed to the gaze estimation model to get the gaze vector.

One of the applications of gaze estimation is moving a computer pointer on the screen.

Eyes movement tracking output

Benchmarks on CPU

Include the benchmark results of running multiple model precisions. The Performance tests were run on Intel® Core™ i3-8350K CPU @ 4.00GHz × 4 and 16 GB Ram

Model Loading0.191390.1832280.35699
Infer Time75.959975.7756868.5793

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