Horn-Schunck Algorithm

The Horn-Schunck algorithm is a method used in computer vision to estimate the motion of objects in a sequence of images, like a video. It works by analyzing how pixels change from one frame to the next, assuming that adjacent pixels typically have smooth motion. The algorithm creates a flow field, showing how pixels move across the frames, which helps in understanding the overall motion. This technique is valuable in applications such as object tracking, video analysis, and robotics, providing a way to interpret and analyze dynamic scenes accurately.