Title :
Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions
Author :
Wentao Fan;Nizar Bouguila
Author_Institution :
Huaqiao University, Department of Computer Science and Technology, Xiamen, China
Abstract :
This paper proposes a hierarchical Pitman-Yor (HPY) process mixture of Dirichlet distributions. It can be viewed as an extension of our previous works that have considered Dirich-let process mixtures of Dirichlet distributions (i.e. infinite Dirichlet mixture models). The proposed model is learned via a variational Bayes approach and applied to the challenging problem of dynamic textures clustering.
Keywords :
"Mixture models","Modeling","Bayes methods","Video sequences","Inference algorithms","Indexes","Dynamics"
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
DOI :
10.1109/ICIP.2015.7350807