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
2016-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
