KLT Tracker

The KLT (Kanade-Lucas-Tomasi) Tracker is a computer vision algorithm used to follow specific features or points in a sequence of images, such as a video. It identifies unique details like corners or textured areas in one frame and then predicts their movement in subsequent frames based on changes in appearance and position. This method helps track objects or movements accurately over time, making it useful in applications like video stabilization, object recognition, and motion analysis. The KLT Tracker balances computational efficiency with reliable tracking of key points in dynamic scenes.