This MATLAB script demonstrates how to track object features efficiently by leveraging OpenCV functions.

Steps to Implement:

  1. Integrate OpenCV Functions: Ensure OpenCV is properly installed and configured with MATLAB for seamless integration.
  2. Initialize Object Tracking: Define the object or region of interest to track.
  3. Apply Feature Tracking: Use OpenCV functions like calcOpticalFlowPyrLK for feature tracking, optimizing speed and accuracy.

Key Points:

  • Ensure MATLAB supports the required OpenCV functions for smooth operation.
  • Test the script thoroughly to ensure compatibility with specific OpenCV versions.

This guide provides a step-by-step approach to effectively implement feature tracking in MATLAB using OpenCV functions.