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
2 Equipe Image - Laboratoire GREYC - UMR6072

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.

Mots clés: dense trajectory; Dynamic texture; LVP; LBP; local feature

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

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⟩