tracking.js is a computer vision library that brings real-time image processing and object detection to web browsers using JavaScript.
The library solves the problem of performing computer vision tasks directly in the browser without server-side processing. It provides an intuitive interface built on modern HTML5 specifications, enabling developers to work with canvas, video, and image elements. The core library is lightweight and includes algorithms for color tracking, face detection using Viola Jones, feature detection with FAST, feature description with BRIEF, and various image processing utilities such as convolution, grayscale conversion, blur, and Sobel edge detection.
The tool suits web applications that need real-time visual analysis without external dependencies. It works well for projects requiring color-based object tracking or face detection in browser environments. Developers should be aware that camera access depends on the getUserMedia API support, which varies across browsers. The library targets modern browsers including Internet Explorer 9 and later versions, as well as current versions of Chrome, Firefox, Opera, and Safari.
The project maintains an active roadmap that includes planned features for optical flow, face recognition, pose estimation, and additional training models for hand and car plate detection. The codebase accepts community contributions through standard pull request workflows, and detailed release history is available through the project's releases page.
