Human activity recognition based on R transform and Fourier Mellin Transform

Abstract

Human activity recognition is attracting a lot of attention in the computer vision domain. In this paper we present a novel human activity recognition method based on transform and Fourier Mellin Transform (FMT). Firstly, we convert the original image sequence to the Radon domain, get the transform curves by transform. Then we extract the Rotation-Scaling-Translation (RST) invariant features by FMT and use to have dimension reduction by PCA method. At the recognition stage, the Earth Mover's Distance (EMD) is used here. In the experiment, we compare our method to other methods. The experimental results show the effectiveness of our method. © 2009 Springer-Verlag.