Motion estimation

In <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a> and <a href="/facts/Image_processing/zenalNCf">image processing</a>, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent <a href="/facts/Video_frame/27Uqo8WN">frames</a> in a video sequence. It is an <a href="/facts/Well-posed_problem/U7J4Vde8">ill-posed problem</a> as the <a href="/facts/Motion/dCnP7MlB">motion</a> happens in three dimensions (3D) but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per <a href="/facts/Pixel/UzwBvXBV">pixel</a>. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom.

Motion estimation open-in-new

Motion estimation