Kanade-Lucas-Tomasi (KLT) Tracker

The Kanade-Lucas-Tomasi (KLT) Tracker is a computer vision tool used to follow points of interest across video frames. It identifies features in an initial image, then estimates their movement over time by analyzing patterns of pixel intensities, assuming these features move smoothly. The algorithm uses mathematical techniques to match the same features in subsequent frames, allowing it to track how objects or points shift position. This is useful in applications like video stabilization, motion analysis, and object tracking, providing efficient and robust tracking even in noisy or changing visual environments.