Dynamic Texture Segmentation Using 3-D Fourier Transform

Dynamic textures are temporally continuous and infinitely varying sequences of images with certain spatial and temporal properties and have many potential applications. Such applications usually require dynamic texture segmentation that is not an easy task especially when the background is cluttered and textured. In this paper, we analyze the spatio-temporal slices of dynamic texture using Fourier analysis and then we propose a simple and efficient approach to dynamic texture segmentation using 3-D Fourier transform. Experiments on several dynamic texture sequences show the effectiveness of the proposed approach.

[1]  Martin Szummer,et al.  Temporal texture modeling , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[2]  Narendra Ahuja,et al.  Extracting a fluid dynamic texture and the background from video , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  B. U. Toreyin,et al.  HMM Based Method for Dynamic Texture Detection , 2007, 2007 IEEE 15th Signal Processing and Communications Applications.

[4]  René Vidal,et al.  Optical flow estimation & segmentation of multiple moving dynamic textures , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[5]  Daniel Cremers,et al.  Dynamic texture segmentation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[6]  Mark J. Huiskes,et al.  DynTex: A comprehensive database of dynamic textures , 2010, Pattern Recognit. Lett..

[7]  M. Sznaier,et al.  Dynamic Texture with Fourier Descriptors , 2005 .

[8]  Dmitry Chetverikov,et al.  Dynamic Texture Recognition Using Normal Flow and Texture Regularity , 2005, IbPRIA.

[9]  Nuno Vasconcelos,et al.  Mixtures of dynamic textures , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[10]  Dmitry Chetverikov,et al.  Detecting Regions of Dynamic Texture , 2007, SSVM.

[11]  Matti Pietikäinen,et al.  Dynamic Texture Recognition Using Volume Local Binary Patterns , 2006, WDV.

[12]  Stefano Soatto,et al.  Dynamic Textures , 2003, International Journal of Computer Vision.

[13]  Narendra Ahuja,et al.  Phase Based Modelling of Dynamic Textures , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[14]  M. Murshed,et al.  Segmentation of dynamic textures , 2007, 2007 10th international conference on computer and information technology.

[15]  Dmitry Chetverikov,et al.  Dynamic Texture Detection Based on Motion Analysis , 2009, International Journal of Computer Vision.

[16]  Sándor Fazekas Normal versus complete flow in dynamic texture recognition: a comparative study , 2005 .

[17]  S. Suzuki,et al.  Feature extraction of temporal texture based on spatiotemporal motion trajectory , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).