Motion detection algorithms

Motion detection algorithms analyze differences between consecutive video frames to identify areas where movement occurs. They compare pixel values to detect changes, often applying filters to reduce noise. When significant differences are found in certain regions, the system recognizes as motion. These algorithms can adapt to lighting variations and background changes, often using techniques like background subtraction or optical flow. They are used in security cameras, video editing, and surveillance to automatically detect and highlight moving objects or people, providing efficient monitoring without requiring constant human oversight.