Lucas-Kanade Method

The Lucas-Kanade method is a technique used in computer vision to track motion between two images, such as in video frames. It assumes that the movement between these images is small and can be analyzed using neighboring pixels. By focusing on small patches of pixels, it estimates how each pixel moves over time, which helps in understanding how objects shift or change position. This method is effective for tasks like object tracking and optical flow estimation, providing a valuable tool for various applications, including autonomous vehicles and robotics.