A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition
Fatma Naiar, Sami Bourouis, Nizar Bouguila, Safya Mdimegh Belghith · 2018
Multivariate generalized Gaussian distribution has been an attractive solution to many signal and image processing applications. Therefore, efficient estimation of its parameters is of significant interest for a number of research problems. The main contribution of this paper is to develop a fixed-point estimation algorithm for learning the multivariate generalized Gaussian mixture model's parameters (MGGMM). A challenging application that concerns Human action recognition is deployed to validate our statistical framework and to show its merits.