Dynamic management of a partial reconfigurable hardware architecture for pedestrian detection in regions of interest - Université de Bourgogne 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

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

Identifiants

Citer

Metzli Ramirez-Martinez, Francisco Sanchez-Fernandez, Philippe Brunet, Sidi-Mohammed 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⟩
78 Consultations
72 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More