Lucas-Kanade Optical Flow Method

The Lucas-Kanade optical flow method estimates motion in a video by analyzing small regions of consecutive images. It assumes that the brightness of a point stays constant over time and that nearby points move similarly. By comparing small neighborhoods across frames, it calculates how pixels shift between images. Essentially, it tracks movement by finding the most consistent way to align similar areas in consecutive frames, allowing it to determine the direction and speed of objects within a scene efficiently and accurately.