Kanade-Lucas-Tomasi (KLT)

The Kanade-Lucas-Tomasi (KLT) tracker is a computer vision method used to track features or points in a sequence of images or video. It identifies specific key points in the first image and then monitors their movement in subsequent frames. By analyzing changes in brightness and pattern, KLT can accurately follow these points, making it useful for tasks like motion analysis, stabilization, and object tracking. Its strength lies in its efficiency and robustness, allowing for real-time applications in robotics, augmented reality, and facial recognition, among others.