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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    Titel :

    Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms


    Beteiligte:
    Lu, Zongqing (Autor:in) / Xie, Weixin (Autor:in) / Pei, Jihong (Autor:in) / Huang, JianJun (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    1493883 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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