---
title: "Optical Flow and Feature Tracking"
excerpt: "Learn how to track features in a video."
tags: ['computer-vision', 'python', 'machine-learning']
---

## Introduction

This chapter demonstrates how to track features in a video using computer vision techniques. We'll use OpenCV (a popular computer vision library) and NumPy (for numerical operations) to:

1. **Load and process video frames** - Read video files frame by frame
2. **Detect features** - Find features in the image
3. **Track features** - Follow the features as they move through the video
4. **Visualize results** - Display the tracking results