Optical Flow Computation Using Phase and Lucas-Kanade Methods
- Login to Download
- 1 Credits
Resource Overview
MATLAB source code for optical flow estimation leveraging phase correlation and Lucas-Kanade algorithms, enabling robust motion analysis in video sequences.
Detailed Documentation
This repository provides MATLAB source code for optical flow computation based on phase correlation and the Lucas-Kanade method, designed to analyze motion patterns in video frames. The implementation enhances accuracy by incorporating phase similarity metrics to align local image regions. The Lucas-Kanade algorithm is employed to address common challenges in optical flow estimation, such as aperture problems and noise sensitivity, using a gradient-based iterative approach to solve motion equations efficiently. Key functions include phase-based feature matching for coarse motion initialization and pyramidal Lucas-Kanade refinement for sub-pixel precision. This tool aids researchers in studying dynamic scene analysis and supports engineers in practical applications like motion tracking and video stabilization by clarifying underlying computational workflows.
- Login to Download
- 1 Credits