Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

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

Abstract : 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).
Type de document :
Communication dans un congrès
Liste complète des métadonnées

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01860284
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : jeudi 23 août 2018 - 11:11:04
Dernière modification le : vendredi 17 juillet 2020 - 14:59:10

Identifiants

Citation

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), Natl Inst Astrophy Opt & Elect Mexico; Virginia Tech; Univ N Carolina Charlotte; IEEE; IEEE Circuits & Syst Soc; XILINX, Dec 2017, Cancun, Mexico. ⟨10.1109/RECONFIG.2017.8279787⟩. ⟨hal-01860284⟩

Partager

Métriques

Consultations de la notice

298