Kalman Filter Tracking

Kalman-filter-based tracking is one of the most fundamental tools for motion prediction under uncertainty. It is especially used in tracking-by-detection systems to estimate where an object may appear in the next frame. Because it is both lightweight and powerful, it remains widely used in practical systems. It is an important example of classical control theory meeting visual perception.