A modern approach for Computer Vision on the web.


The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more — all that with a lightweight core (~7 KB) and intuitive interface.

Install via Bower, npm, or download as a zip:

bower install tracking
npm install tracking

You can plug tracking.js into some well supported HTML elements such as <canvas>, <video> and <img>.

IE 9+ ✔Latest ✔Latest ✔Latest ✔Latest ✔

However, the browser support may vary if you request the user's camera (which relies on getUserMedia API).

  • [ ] Optical flow
  • [ ] Face recognition
  • [ ] Pose estimation
  • [ ] Faster keypoint descriptor (BRIEF)
  • [ ] More trainings (Hand, car plate, etc)
  1. Fork it!
  2. Create your feature branch: git checkout -b my-new-feature
  3. Commit your changes: git commit -m 'Add some feature'
  4. Push to the branch: git push origin my-new-feature
  5. Submit a pull request :D

For detailed changelog, check Releases.

tracking.js is maintained by these people and a bunch of awesome contributors.

Eduardo LundgrenThiago RochaZeno RochaPablo CarvalhoMaira Bello

BSD License © Eduardo Lundgren