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Eye Tracking Using A Simple Webcamera

Eye Tracking Using A Simple Webcamera. David Wild Supervisor: James Connan Rhodes University Computer Science Department. Contents:. Brief Recap of project Approaches found My choice Tools Still Needs to be done Questions. Brief Recap of project. Eye tracking:

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Eye Tracking Using A Simple Webcamera

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  1. Eye Tracking Using A Simple Webcamera David Wild Supervisor: James Connan Rhodes University Computer Science Department

  2. Contents: • Brief Recap of project • Approaches found • My choice • Tools • Still Needs to be done • Questions

  3. Brief Recap of project • Eye tracking: • Find the eyes in a frame • Use the eyes to calculate point of interest • Usually pre-program calibration to find the limits • Original Plan • Use an infrared camera to make the detection simpler, still a possibility • Find, or make an appropriate algorithm to calculate the gaze

  4. Approaches found (1) • Real Time Tracking Algorithm with head movement Compensation (RTAC) • Eye detection using the corneal glint • Find the glint-pupil vector • Map to 3D • Calculate head movement • Compensate for head movement

  5. Approaches found (2) • Neural Networks • Find the eye and face using intensities of pixels • Use OpenCv to detect the eye and face regions • Create a smaller picture for training the NN • Use the intensities of each pixel as a input for the NN • Starburst • Noise reduction (shot and line) • Corneal reflection detection using adaptive brightness-threshold • Feature Detection • Ellipse Detection • Calibration

  6. My Choice • Starburst Eye detection • Robust system • Interesting to examine • Could possibly include head movement compensation as a extension to the original algorithm • Can still change this choice

  7. Tools • C++ • OpenCV • Ordinary USB Webcam

  8. Still needs to be done • Obviously Coding and Implementation • Finding the eye • Design the Calibration pre-program • Implement the algorithm • Test and improve

  9. Questions?

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