Optical Flow Estimation

Optical flow estimation is a task in computer vision that aims to compute the motion of objects within image or video sequences. The goal of this task is to determine the displacement of pixels or features in an image, which holds significant value for applications such as object tracking, motion analysis, and video compression. Methods for optical flow estimation include correlation, block matching, feature tracking, energy-based approaches, and more recently, gradient methods.