Motion

This lecture covers motion estimation methods in video processing, including the illusion of movement, motion analysis, displacement, motion field, and optical flow. It explains motion models, assumptions in motion estimation, and various techniques such as gradient methods, block matching, pel-recursive methods, and phase correlation. The lecture also delves into the challenges and advantages of each method, such as dense motion field representation, computational complexity, and robustness to noise.