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Tracking the Eyes using a Webcam

Tracking the Eyes using a Webcam. `. Presented by: Kwesi Ackon. Supervisor: Mr. J. Connan. Recap. Track the eyes Move cursor on the screen using the eyes. Implementation. Face detection implementation. Original image. Grayscale image. Move from RGB colour space to HSV colour space

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Tracking the Eyes using a Webcam

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  1. Tracking the Eyes usinga Webcam ` Presented by: Kwesi Ackon Supervisor: Mr. J. Connan

  2. Recap • Track the eyes • Move cursor on the screen using the eyes

  3. Implementation • Face detection implementation Original image Grayscale image

  4. Move from RGB colour space to HSV colour space • For grayscale image H = 0, S = 0, 0 < = v <= 100 • H = 0, S = 0, V = 100 represents a white pixel.

  5. Eliminate white background by setting a threshold of V < 90

  6. struct Pixel { int red; int green; int blue; int mark; } If a pixel V value is less than 90 we set mark equal 1

  7. Face Rectangle

  8. Eye Rectangle

  9. Locate pupil in eye rectangle by setting a threshold of H > 75

  10. Biggest Blob Detection

  11. Testing • Tested on people with black pupil

  12. Shortcomings • Lack Accuracy • Lack of Speed

  13. ?

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