Dynamic textures are sequences of images that exhibit some form of temporal stationarity, such as waves, steam, and foliage. We pose the problem of recognizing and classifying dynamic textures in the space of dynamical systems where each dynamic texture is uniquely represented. Since the space is non-linear, a distance between models must be defined We examine three different distances in the space of autoregressive models and assess their power.
Dynamic texture recognition
2001-01-01
1091202 byte
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 2001
|Shift-Invariant Dynamic Texture Recognition
British Library Conference Proceedings | 2006
|Dynamic texture recognition with video set based collaborative representation
British Library Online Contents | 2016
|