LobNet platform: Target tracking with a low resolution camera network - Archive ouverte HAL
Communication Dans Un Congrès Année : 2018

LobNet platform: Target tracking with a low resolution camera network

François Berry

Résumé

In this paper, we present a new platform for environment monitoring using very low specification cameras. These latter are distinguished by their visual sensors offering tiny images (30*30 pixels), completely local processing thanks to the max10 FPGA and the SmartMesh IP technology offering a mesh network. The lack of information extracted by visual sensors is filled by intensive communication and data exchanged between cameras after each detection. Thus, a re-identification process is applied based on exchanged and extracted data after each target detection.
Fichier principal
Vignette du fichier
Lobna - IROS2018 workshop - ieeeconf.pdf (723.13 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01966756 , version 1 (29-12-2018)

Identifiants

  • HAL Id : hal-01966756 , version 1

Citer

Lobna Ben Khelifa, François Berry, Jean-Charles Quinton. LobNet platform: Target tracking with a low resolution camera network. Unconventional Sensing and Processing for Robotic Visual Perception workshop, IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2018, Madrid, Spain. ⟨hal-01966756⟩
72 Consultations
101 Téléchargements

Partager

More