Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms

  • Authors:
  • Zongqing Lu;Weixin Xie;Jihong Pei;JianJun Huang

  • Affiliations:
  • Xidian University, China;Xidian University, China;Shenzhen University, China;Shenzhen University, China

  • Venue:
  • WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
  • Year:
  • 2005

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Abstract

Dynamic textures are sequences of images of moving scenes that exhibit certain stationarity properties in time, for example, sea-waves, smoke, foliage, whirlwind etc. This work proposed a novel characterization of dynamic textures that poses the problems of recognizing. A method by spatio-temporal multiresolution histogram based on velocity and acceleration fields is presented. The spatio-temporal multiresolution histogram has many desirable properties including simple computing, spatial efficiency, robustness to noise and ability of encoding spatio-temporal dynamic information, which can reliably capture and represent the motion properties of different image sequences. Velocity and acceleration fields of different spatio-temporal resolution image sequences are accurately estimated by structure tensor method. We describe a simple matching algorithm based on multiresolution histogram, which measure difference between two sequences.