Dynamic Texture Segmentation Using Linear Predictive Coding

Dynamic textures are image sequences which contain spatial-varying and time varying phenomenon. There are many examples of visual patterns in the real-world scenes that are called dynamic textures. In this paper, we propose a novel analytical approach for segmentation of dynamic textures. The key idea is to exploit the properties of both frame texture and motion. In our approach, we employ linear predictive coding to extract special features from sequences of mixtures of dynamic texture.