iceaxeliehne/tracking.js

A modern approach for Computer Vision on the web

👉 eduardolundgren#395 👈

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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.

• Official website
• Documentation
• API Docs

Install

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

bower install tracking

npm install tracking

Examples

Features

• 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

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

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

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