Event based vision sensing and processing

Abstract

In this paper we briefly summarize the fundamental properties of spike events processing applied to artificial vision systems. This sensing and processing technology is capable of very high speed throughput, because it does not rely on sensing and processing sequences of frames, and because it allows for complex hierarchically structured cortical-like layers for sophisticated processing. The paper describes briefly cortex-like spike event vision processing principles, and the AER (Address Event Representation) techique used in hardware spiking systems. Then a texture-based image retrieval using the AER technique is proposed. Realistic behavioral simulations based on existing hardware characteristics, reveal that the application, although processing large kernel convolutions, is capable of performing recognition in less than 10ms.