tracking

A modern approach for Computer Vision on the web.

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tracking
1.1.36 years ago10 years agoMinified + gzip package size for tracking in KB

Readme

tracking.js
Build Status DevDependencies Status
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

Demo 1 Demo 2 Demo 3 Demo 4 Demo 5

Features

Color Tracker Object Tracker Feature Detection (Fast) Feature Descriptor (Brief) Convolution Gray Scale Image Blur Integral Image Sobel Viola Jones Color Element Object Element

Browser Support

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

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 --- | --- | --- | --- | --- Eduardo Lundgren | Thiago Rocha | Zeno Rocha | Pablo Carvalho | Maira Bello

License

BSD License © Eduardo Lundgren