HOG-Dot: A Parallel Kernel-Based Gradient Extraction for Embedded Image Processing

Maggiani, Luca; Bourrasset, Cédric; Petracca, Matteo; Berry, François; Pagano, Paolo; Salvadori, Claudio

doi:10.1109/lsp.2015.2463092

Cited by 4 publications

(1 citation statement)

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“…Since the highest throughput appears right after pixel acquisition, the performance of this first stage significantly affects the overall results. Here, computation of the gradient is performed using the HOG-Dot algorithm proposed in [27]. With this algorithm, each gradient is discretized by projecting it onto a set of predefined directions θ k (k = 0 .…”

Section: Gradient Computationmentioning

confidence: 99%

Bio-inspired heterogeneous architecture for real-time pedestrian detection applications

Maggiani

Bourrasset

Quinton

et al. 2016

J Real-Time Image Proc

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International audienceAlong 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

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Section: Gradient Computationmentioning

confidence: 99%