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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A webcam based pupil tracking implementation.
| Date | Stars |
|---|---|
| 2026-07-24 | 1013 |
| 2026-07-25 | 1014 |
| 2026-07-28 | 1014 |
| 2026-07-30 | 1014 |
| 2026-08-06 | 1014 |
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## eyeLike An OpenCV based webcam gaze tracker based on a simple image gradient-based eye center algorithm by Fabian Timm. ## DISCLAIMER **This does not track gaze yet.** It is basically just a developer reference implementation of Fabian Timm's algorithm that shows some debugging windows with points on your pupils. If you want cheap gaze tracking and don't mind hardware check out [The Eye Tribe](https://theeyetribe.com/). If you want webcam-based eye tracking contact [Xlabs](http://xlabsgaze.com/) or use their chrome plugin and SDK. If you're looking for open source your only real bet is [Pupil](http://pupil-labs.com/) but that requires an expensive hardware headset. ## Status The eye center tracking works well but I don't have a reference point like eye corner yet so it can't actually track where the user is looking. If anyone with more experience than me has ideas on how to effectively track a reference point or head pose so that the gaze point on the screen can be calculated contact me. ## Building CMake is required to build eyeLike. ### OSX or Linux with Make ```bash # do things in the build directory so that we don't clog up the main directory mkdir build cd build cmake ../ make ./bin/eyeLike # the executable file ``` ### On OSX with XCode ```bash mkdir build ./cmakeBuild.sh ``` then open the XCode project in the build folder and run from there. ### On Windows There is some way to use CMake on Windows but I am not familiar with it. ## Blog Article: - [Using Fabian Timm's Algorithm](http://thume.ca/projects/2012/11/04/simple-accurate-eye-center-tracking-in-opencv/) ## Paper: Timm and Barth. Accurate eye centre localisation by means of gradients. In Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP), volume 1, pages 125-130, Algarve, Portugal, 2011. INSTICC. (also see youtube video at http://www.youtube.com/watch?feature=player_embedded&v=aGmGyFLQAFM)
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5fdd8ca835a10805, topic:opencv