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.


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    Title :

    Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms


    Contributors:
    Lu, Zongqing (author) / Xie, Weixin (author) / Pei, Jihong (author) / Huang, JianJun (author)


    Publication date :

    2005-01-01


    Size :

    1493883 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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