Motion Segmentation

Motion segmentation is a process used in computer vision and video analysis to identify and separate moving objects from a static background in a video sequence. Essentially, it helps computers understand which parts of a scene are changing over time, allowing them to distinguish between different objects, such as people or vehicles, and their surroundings. By analyzing changes in pixel patterns, motion segmentation contributes to various applications, including video surveillance, autonomous vehicles, and augmented reality, by enabling systems to track movements and interact with dynamic environments effectively.