Pyramidal Lucas-Kanade

Pyramidal Lucas-Kanade is a computer vision technique used for tracking motion in videos. It works by analyzing frames to determine how objects move from one frame to the next. The method uses a pyramid structure of images, which means it examines frames at multiple resolutions. This allows it to efficiently capture both large movements and small details. By finding patterns in these images, the algorithm estimates the movement of features, helping applications like video stabilization and facial recognition to understand motion accurately and smoothly.