A MULTI-DIFFERENTIAL NEUROMORPHIC APPROACH TO MOTION DETECTION

Abstract
This paper presents a multi-differential neuromorphic approach to motion detection. The model is based evidence for a differential operators interpretation of the properties of the cortical motion pathway. We discuss how this strategy, which provides a robusl measure of speed for a range of types of image motion using a single compulational mechanism, forms a usful framework in which to develop future neuromorphic motion systems. We also discuss both our approaches to developing computational motion models, and constraints in the design strategy for transferring motion models to other domains of early visual processing.

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