Dynamic management of a partial reconfigurable hardware architecture for pedestrian detection in regions of interest - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Dynamic management of a partial reconfigurable hardware architecture for pedestrian detection in regions of interest

(1) , (1) , (1) , (1) , (2, 3)
1
2
3

Résumé

In this paper, we propose a video streaming architecture implementing an IP core design based on Histograms of Oriented Gradients (HOG) algorithm, by using a high-level synthesis workflow. Also, we present a decision algorithm for a dynamically reconfigurable architecture, applied to people detection in video over a Region Of Interest (ROI). Our method dynamically manages the resource consumption in our hardware accelerator. In the test performed with only one reconfigurable module, our method achieves a power reduction up to 7% and a speed of 51 fps, but these results could be improved according to the number of reconfigurable modules. For implementation, we used a Xilinx Zynq 7000 series platform and our experimental results are compared with other software and hardware implementations. Our hardware architecture can be used in a vast number of vision systems, including advanced driver assistance systems (ADAS).
Fichier principal
Vignette du fichier
MRM2017.pdf (236.55 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01860284 , version 1 (06-07-2021)

Licence

Paternité - CC BY 4.0

Identifiants

Citer

Metzli Ramirez-Martinez, Francisco Sanchez-Fernandez, Philippe Brunet, Sidi Senouci, El-Bay Bourennane. Dynamic management of a partial reconfigurable hardware architecture for pedestrian detection in regions of interest. 2017 International Conference on ReConFigurable Computing and FPGAs (ReConFig), Dec 2017, Cancun, Mexico. ⟨10.1109/RECONFIG.2017.8279787⟩. ⟨hal-01860284⟩
64 Consultations
32 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More