Detection and estimation of motion using adaptive grids

Abstract

A Galerkin finite element approach is described for computing optical flow which uses an adaptive triangular mesh in which the resolution increases where motion is found to occur. The mesh facilitates a reduction in computational effort by enabling processing to focus on particular objects of interest in a scene, specifically those areas where motion is detected. The method is applied to real image sequences where a significant part of the image is static.