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Paolini Emilio De Marinis Lorenzo Cococcioni Marco Valcarenghi Luca Maggiani Luca Andriolli Nicola 《Neural computing & applications》2022,34(18):15589-15601
Neural Computing and Applications - Photonics-based neural networks promise to outperform electronic counterparts, accelerating neural network computations while reducing power consumption and... 相似文献
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Luca Maggiani Cédric Bourrasset Jean-Charles Quinton François Berry Jocelyn Sérot 《Journal of Real-Time Image Processing》2018,14(3):535-548
Along with the development of powerful processing platforms, heterogeneous architectures are nowadays permitting new design space explorations. In this paper, we propose a novel heterogeneous architecture for reliable pedestrian detection applications. It deploys an efficient Histogram of Oriented Gradient pipeline tightly coupled with a neuro-inspired spatio-temporal filter. By relying on hardware–software co-design principles, our architecture is capable of processing video sequences from real-word dynamic environments in real time. The paper presents the implemented algorithm and details the proposed architecture for executing it, exposing in particular the partitioning decisions made to meet the required performance. A prototype implementation is described and the results obtained are discussed with respect to other state-of-the-art solutions. 相似文献
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