In this paper we propose a robust optical flow estimation algorithm for objects whose motion patterns are classified as temporal textures. While suitability of contemporary motion estimation algorithms depends on physical properties of textures, the proposed technique is robust enough to compute accurate flow patterns for a wide range of temporal textures independent of their type. Experimental results demonstrate the capability of the proposed technique producing accurate flow estimates for a wide range of temporal textures.