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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).
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Communication dans un congrès
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01860284
Contributeur : LE2I - université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : mardi 6 juillet 2021 - 17:41:22
Dernière modification le : dimanche 26 juin 2022 - 00:49:34
Archivage à long terme le : : jeudi 7 octobre 2021 - 19:12:21

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MRM2017.pdf
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Distributed under a Creative Commons Paternité 4.0 International License

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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⟩

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