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tracking.js

> 编程语言
开源

Web 上计算机视觉的现代方法

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工具介绍

Web 上计算机视觉的现代方法


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 ``.

| | | | --- | --- | --- | --- | --- | 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

Issues· 0 开放

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> 工具信息

发布日期2026年8月1日
最后更新2026年9月17日
分类编程语言
定价开源

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