A color neuromorphic approach for motion estimation

Authors:
Xuefeng Liang;Peter W. McOwan;Alan Johnston
Affiliations:
School of E.E. & C.S., Queen Mary University of London, London, UK;School of E.E. & C.S., Queen Mary University of London, London, UK;Cognitive, Perceptual & Brain Sciences, University College London, London, UK
Venue:
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Year:
2009

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Abstract

The Multichannel Gradient Model (McGM) is a neuromorphic approach based on the differential operator interpretation of the properties of neurones in the cortical motion pathway. In this paper, we extend this differential operator interpretation into color space and combine spatial, temporal and color information in an integrated model. The new color McGM exploits the constant color assumption to deliver improved performance. We present experiments on diagnostic test data and demonstrate that the proposed method gives much smaller errors than previous gradient based techniques, and is more robust under various conditions.