A modern approach for Computer Vision on the web.
npm install tracking

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.
* Official website
* Documentation
* API Docs
Install via Bower, npm, or download as a zip:
```
bower install tracking
``
npm install tracking





* Trackers
* Color Tracker
* Object Tracker
* Utilities
* Feature Detection (Fast)
* Feature Descriptor (Brief)
* Convolution
* Gray Scale
* Image Blur
* Integral Image
* Sobel
* Viola Jones
* Web Components
* Color Element
* Object Element
You can plug tracking.js into some well supported HTML elements such as
!IE | !Chrome | !Firefox | !Opera | !Safari
--- | --- | --- | --- | --- |
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-featuregit commit -m 'Add some feature'
3. Commit your changes: git push origin my-new-feature`
4. Push to the branch:
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 Lundgren | Thiago Rocha | Zeno Rocha | Pablo Carvalho | Maira Bello
BSD License © Eduardo Lundgren