MATLAB Implementation of Pyramid-Based Optical Flow Computation

This MATLAB program implements pyramid-based optical flow computation, which tracks pixel movement across image sequences to detect motion patterns. The algorithm employs a pyramid image structure consisting of multiple resolution levels, where each subsequent level is half the size of the previous image. This multi-scale approach enables more efficient and accurate optical flow calculations across different resolutions. Key implementation aspects include: - Building Gaussian pyramids using imresize() and imgaussfilt() functions - Implementing iterative Lucas-Kanade method at each pyramid level - Propagating flow vectors from coarse to fine resolution layers - Using warpFlow() function for image warping between iterations The pyramid structure significantly improves motion detection performance, making it particularly suitable for applications like motion tracking and video stabilization. This implementation provides users with an accessible tool to understand and apply pyramid optical flow methodology, featuring configurable parameters for pyramid levels, window sizes, and termination thresholds.