Directional Beams of Dense Trajectories for Dynamic Texture Recognition

Abstract : An effective framework for dynamic texture recognition is introduced by exploiting local features and chaotic motions along beams of dense trajectories in which their motion points are encoded by using a new operator, named LVP f ull-TOP, based on local vector patterns (LVP) in full-direction on three orthogonal planes. Furthermore, we also exploit motion information from dense trajectories to boost the discriminative power of the proposed descriptor. Experiments on various benchmarks validate the interest of our approach.
Type de document :
Communication dans un congrès
ACIVS, Sep 2018, Poitier, France
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https://hal.archives-ouvertes.fr/hal-01860067
Contributeur : Thanh Phuong Nguyen <>
Soumis le : mercredi 22 août 2018 - 22:02:51
Dernière modification le : mardi 4 septembre 2018 - 01:15:29

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acivs_2018_NGUYEN.pdf
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  • HAL Id : hal-01860067, version 1

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Thanh Tuan Nguyen, Thanh Nguyen, Frédéric Bouchara, Xuan Nguyen. Directional Beams of Dense Trajectories for Dynamic Texture Recognition. ACIVS, Sep 2018, Poitier, France. 〈hal-01860067〉

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