Online Audiovisual Signature Training for Person Re-identification

François-Xavier Decroix (1, 2) , Frédéric Lerasle (1) , Julien Pinquier (2) , Isabelle Ferrané (2)

1 LAAS-RAP - Équipe Robotique, Action et Perception
2 IRIT-SAMoVA - Équipe Structuration, Analyse et MOdélisation de documents Vidéo et Audio

In intelligent environments, activity detection is a necessary pre-processing step for adaptive energy management and interaction with humans. To characterize the interactions between individuals or between an individual and the infrastructure of a building, a re-identification process is required and using multimodal models improves its robustness. In this paper, we propose a method for audiovisual fusion, which introduces a novel confidence index of audio-video salience zones, for training an audiovisual signature of a person within a sparse network of cameras and microphones.

Domaines: Traitement des images [eess.IV]

François-Xavier Decroix, Frédéric Lerasle, Julien Pinquier, Isabelle Ferrané. Online Audiovisual Signature Training for Person Re-identification. 10th International Conference on Distributed Smart Camera (ICDSC2016), Sep 2016, Paris, France. pp.62-68, ⟨10.1145/2967413.2967429⟩. ⟨hal-01800283⟩