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Eye Tracking Project Project Supervisor: Ido Cohen By: Gilad Ambar
Eli Yafe Winter 2009 (Tasha) Project B
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Background Open CV and our system
The system is built from IR camera and 3 LEDs Was designed by ELBIT for eye tracking
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OPEN CV OpenCV is a computer vision library originally developed by Intel. (open source) Main purpose real-time image processing Using imaging filter Graphic structures
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The Problem What are you looking at right now? Is it in real time?
Why not matlab?
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Our algorithm in OPEN CV
Algorithms Input Output Main Algorithm. Calculating LOS vector Calibrating by off-set vector Current frame LOS vector on screen Calibration Vector Find LEDs and their center of mass Find Pupil Center Pre-calculations and filtering Getting all the blobs* Hough transform algorithm per blob RUNS PARALLEL Select the best ellipse and it’s center *Blob- Binary large object
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An output example LOS vector LEDs
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The Product Integrated platform to calculate LOS vector
Input – stream of images Output – stream of vectors (x,y,z) Parallel work for maximum speed Using designated hardware to speed up the Hough transform Using appointed memory per images for quick use of filtering
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The next step GIDEL
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The key phrase - Running parallel !
Main program Each blob
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Timeline 20/12/09 – Displaying arithmetic operations required.
3/1/10 – Block schematic (Highest resolution. Resources requirements. 10/1/10 – implemented code in fixed point. 11/1/10 – Begin implementation of Hough Transform in VHDL. 12/1/10 – 2/3/10 – TBD. 2/3/10 – Mid project presentation
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