Natural feature tracking is a computer vision technique used to track the movement of distinct visual features in a scene. These features can be natural landmarks or objects that are easily identifiable and trackable, such as corners, edges, or textures. By analyzing the movement of these features over a sequence of images or frames, natural feature tracking algorithms can estimate the relative motion of objects in a scene. This technique is commonly used in applications such as augmented reality, motion capture, visual odometry, and object recognition. Natural feature tracking is particularly useful in scenarios where traditional methods such as optical flow or template matching may not be effective, due to changes in lighting conditions, occlusions, or non-rigid deformations.