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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 762472, 7 pages
Research Article

Wavelet-Based Dynamic Texture Classification Using Gumbel Distribution

1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150001, China

Received 14 December 2012; Revised 31 March 2013; Accepted 8 April 2013

Academic Editor: Jun Jiang

Copyright © 2013 Yu-Long Qiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Dynamic texture classification has attracted growing attention. Characterization of a dynamic texture is vital to address the classification problem. This paper proposes a dynamic texture descriptor based on the dual-tree complex wavelet transform and the Gumbel distribution. The method takes out the median values of coefficient magnitudes in each nonoverlapping block of a detail subband and models them with the Gumbel distribution. The classification is realized by comparing the similarity between the estimated distributions of all detail subbands. The experimental results on the benchmark dynamic texture database demonstrate better histogram fitting and promising classification performance of the dynamic texture descriptor compared with the current existing methods.