eduardolundgren / tracking.js
A modern approach for Computer Vision on the web
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Repository Summary (README)
Preview
:point_right: https://github.com/eduardolundgren/tracking.js/issues/395 :point_left:
</div>tracking.js
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
Install via Bower, npm, or download as a zip:
bower install tracking
npm install tracking
Examples
Features
Browser Support
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).
Roadmap
- Optical flow
- Face recognition
- Pose estimation
- Faster keypoint descriptor (BRIEF)
- More trainings (Hand, car plate, etc)
Contributing
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -m 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request :D
History
For detailed changelog, check Releases.
Team
tracking.js is maintained by these people and a bunch of awesome contributors.
 |  |  |  |  |  |
|---|---|---|---|---|---|
| Eduardo Lundgren | Thiago Rocha | Zeno Rocha | Pablo Carvalho | Maira Bello | Jerome Etienne |
License
BSD License © Eduardo Lundgren