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Online Audiovisual Signature Training for Person Re-identification

Abstract : 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.
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Contributor : Frédéric Lerasle <>
Submitted on : Friday, May 25, 2018 - 4:50:09 PM
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  • HAL Id : hal-01800283, version 1


François-Xavier Decroix, Frédéric Lerasle, Julien Pinquier, Isabelle Ferrané. Online Audiovisual Signature Training for Person Re-identification. International Conference on Distributed Smart Cameras, Sep 2016, Paris, France. ⟨hal-01800283⟩



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