Background subtraction in people detection framework for RGB-D cameras - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Background subtraction in people detection framework for RGB-D cameras

Résumé

In this paper, we propose a background subtraction algorithm specific for depth videos from RGB-D cameras. Embedded in a people detection framework, it does not classify foreground / background at pixel level but provides useful information for the framework to remove noise. Noise is only removed when the framework has all the information from background subtraction, classification and object tracking. In our experiment, our background subtraction algorithm outperforms GMM, a popular background subtraction algorithm, in detecting people and removing noise.
Fichier principal
Vignette du fichier
AnhTuanAVSS14.pdf (561.28 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01849217 , version 1 (25-07-2018)

Identifiants

  • HAL Id : hal-01849217 , version 1

Citer

Anh-Tuan Nghiem, François Bremond. Background subtraction in people detection framework for RGB-D cameras. AVSS, Aug 2014, Seoul, South Korea. ⟨hal-01849217⟩

Collections

INRIA INRIA2
41 Consultations
81 Téléchargements

Partager

Gmail Facebook X LinkedIn More