22-6 Reduction MEthod of Computational Complexity for Gradient Motion Estimation with Eigenavalue Algorithm

Abstract

This paper describes a method of computational complexity reduction for the gradient motion estimation with eigenvalue algorithm. The proposed method adopts the algorithm based on perturbation theorem. The experimental results have proved that the proposed method can reduce the computational complexity and estimate movement with the same accuracy as the conventional algorithm.