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On-chip Visual Perception of Motion: A Bio-inspired Connectionist Model on FPGA

César Torres-Huitzil 1 Bernard Girau 1 Claudio Castellanos Sánchez 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Visual motion provides useful information to understand the dynamics of a scene to allow intelligent systems interact with their environment. Motion computation is usually restricted by real time requirements that need the design and implementation of specific hardware architectures. In this paper, the design of a hardware architecture for a bio-inspired neural model for motion estimation is presented. The motion estimation is based on a strongly localized bio-inspired connectionist model with a particular adaptation of spatio-temporal Gabor-like filtering. The architecture is constituted by three main modules that perform spatial, temporal, and excitatory-inhibitory connectionist processing. The biomimetic architecture is modeled, simulated and validated in VHDL. The synthesis results on a Field Programmable Gate Array (FPGA) device show the potential achievement of real-time performance at an affordable silicon area.
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https://hal.inria.fr/inria-00000164
Contributor : Claudio Castellanos Sánchez <>
Submitted on : Friday, September 23, 2005 - 9:39:55 AM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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  • HAL Id : inria-00000164, version 1

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César Torres-Huitzil, Bernard Girau, Claudio Castellanos Sánchez. On-chip Visual Perception of Motion: A Bio-inspired Connectionist Model on FPGA. Neural Networks, Elsevier, 2005, 18 (5-6), pp.557-565. ⟨inria-00000164⟩

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