Recognition of Dynamic Textures using Impulse Responses of State Variables

Dynamic textures are image sequences which contain moving scenes such as a flowing river, drifting smoke, waving foliage, etc. Such image sequences have dynamical properties that are related to motion in the physical world. In this paper, we propose a novel analytical tool for analyzing dynamic textures. The key idea is to exploit the properties of the impulse responses of the state variables computed using the previous algorithm for dynamic texture representation [1]. It turns out that the fundamental dynamical properties of a dynamic texture are captured very efficiently by these impulse responses. We have used our approach to develop an algorithm for the recognition of local dynamic textures. This algorithm is significantly more efficient than previously proposed techniques that use distances between computed dynamic texture models in a non-linear space. We test the recognition accuracy of our algorithm using a variety of real-world dynamic textures.