Motion estimation is a computer vision technique used to determine how an object or part of an image moves between consecutive video frames. It analyzes changes in visual features, such as edges, textures, or pixels, to estimate the direction and speed of movement. AI-based systems can use these estimates to understand motion patterns and support real-time tracking, prediction, or video processing.
For example, a driver-assistance system can estimate the movement of nearby vehicles from camera footage to anticipate their positions. This helps improve situational awareness and supports faster, more informed decisions. Motion estimation is widely used in video stabilization, object tracking, autonomous vehicles, robotics, sports analysis, and augmented reality.
