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Directional Beams of Dense Trajectories for Dynamic Texture Recognition

Thanh Tuan Nguyen 1 Thanh Phuong Nguyen 1 Frédéric Bouchara 1 Xuan Son Nguyen 2
1 SIIM - Signal et Image
LIS - Laboratoire d'Informatique et Systèmes
2 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
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.
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Submitted on : Wednesday, August 22, 2018 - 10:02:51 PM
Last modification on : Tuesday, April 7, 2020 - 6:36:10 PM
Document(s) archivé(s) le : Friday, November 23, 2018 - 7:18:12 PM


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  • HAL Id : hal-01860067, version 1


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



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