Optical flow refers to the pattern of apparent motion of objects in a visual scene, caused by the relative movement between the observer and the environment. It helps in understanding how objects move and interact over time, providing crucial information for tasks like navigation and object tracking. In computer vision, optical flow algorithms analyze sequences of images to estimate motion. This technique is widely used in applications such as autonomous vehicles, video compression, and augmented reality, enabling machines to interpret and respond to dynamic environments effectively.