We report on a pixel architecture relying on memristive devices to perform pixel-level adaptive background subtraction. Core of the processing is the pixel, containing a Light-To-Frequency (L2F) converter. Its output digital pulses, proportional to the intensity of light, are applied in turn to a memristor, changing its resistance accordingly. Two additional memristors are used to store the dynamic boundaries, outside which the behaviour of the photo-generated signal is recognised to be anomalous, i.e., unexpectedly fast-changing. The main advantages of using memristors over all-CMOS implementations are a smaller pixel pitch and non-volatility, the latter allowing the image background to be modelled with programmable time constants.

A Memristive Pixel Architecture for Real-Time Tracking

Olumodeji, Olufemi Akindele;Gottardi, Massimo
2016

Abstract

We report on a pixel architecture relying on memristive devices to perform pixel-level adaptive background subtraction. Core of the processing is the pixel, containing a Light-To-Frequency (L2F) converter. Its output digital pulses, proportional to the intensity of light, are applied in turn to a memristor, changing its resistance accordingly. Two additional memristors are used to store the dynamic boundaries, outside which the behaviour of the photo-generated signal is recognised to be anomalous, i.e., unexpectedly fast-changing. The main advantages of using memristors over all-CMOS implementations are a smaller pixel pitch and non-volatility, the latter allowing the image background to be modelled with programmable time constants.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/306132
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