A motion-based approach for segmenting dynamic textures

Characterisation of visual processes consisting of multiple dynamic textures is of vital importance to computer vision research, with a diverse set of applications in the field of robot navigation and remote monitoring applications, etc. In the current literature, however, studies are mostly limited to characterisation of single dynamic textures. In this paper, we aim to address the problem of segmenting image sequences consisting of multiple dynamic textures. More precisely, we separate image segments having different characteristic motion patterns - a key attribute of individual dynamic textures. Experimental results demonstrate the ability of the proposed technique by segmenting a wide variety of multiple dynamic texture image sequences.