A Memristive Pixel Architecture for Real-Time Tracking

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 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 behavior of the photo-generated signal is recognized 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 modeled with programmable time constants.