Motion and Tracking

Wed, 11 Nov 2026 21:00:00 +1100

A single image says what is there. A video also says what moved, and the motion is often the most useful thing in it: it separates a walker from the pavement, tells a car how it is turning, and lets a microscope follow a particle too faint to see in any one frame. This page climbs three rungs. First, where did something change (change detection)? Second, how far and which way did each pixel move (optical flow, with Harris corners explaining where that question even has an answer)? Third, where is the object now, and where will it be next, given a whole history of noisy detections (tracking as Bayesian filtering, solved exactly by the Kalman filter and approximately by the particle filter). 𐃏

Motion on Aayush Bajaj's Augmenting Infrastructure

Motion and Tracking