Enhanced visualisation of dance performance from automatically synchronised multimodal recordings - Télécom Paris
Communication Dans Un Congrès Année : 2011

Enhanced visualisation of dance performance from automatically synchronised multimodal recordings

Marc Gowing
  • Fonction : Auteur
Xinyu Lin
  • Fonction : Auteur
Qianni Zhang
  • Fonction : Auteur
Philip Kell
  • Fonction : Auteur
Noel O'Connor
  • Fonction : Auteur
Robin Tournemenne
Ebroul Izquierdo
  • Fonction : Auteur
Vlado Kitanovski
  • Fonction : Auteur

Résumé

The Huawei/3DLife Grand Challenge Dataset provides multimodal recordings of Salsa dancing, consisting of audiovisual streams along with depth maps and inertial measurements. In this paper, we propose a system for augmented reality-based evaluations of Salsa dancer performances. An essential step for such a system is the automatic temporal synchronisation of the multiple modalities captured from different sensors, for which we propose efficient solutions. Furthermore, we contribute modules for the automatic analysis of dance performances and present an original software application, specifically designed for the evaluation scenario considered, which enables an enhanced dance visualisation experience, through the augmentation of the original media with the results of our automatic analyses.

Dates et versions

hal-02943617 , version 1 (20-09-2020)

Identifiants

Citer

Marc Gowing, Xinyu Lin, Qianni Zhang, Philip Kell, Noel O'Connor, et al.. Enhanced visualisation of dance performance from automatically synchronised multimodal recordings. The 19th ACM international conference, Nov 2011, Scottsdale, France. pp.667, ⟨10.1145/2072298.2072414⟩. ⟨hal-02943617⟩
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