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

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?