title: Biologically inspired framework for spatial and spectral velocity estimations.
abstract: The multichannel gradient model (McGM) is an established, biologically plausible framework for the robust extraction of image velocity. Here we describe the McGM extension into color space and report the resulting performance improvement. Our new model, in contrast to existing approaches that process color channels separately, incorporates spectral energy measures to form a local description of the stimulus chromatic spatio-temporal structure from which we can recover both spatial and spectral velocities. We present a range of comparative experiments on synthetic and natural test data that demonstrate that our new method reduces errors and is more robust over a range of viewing environments.
authors.affiliation: School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK. xliang@dcs.qmul.ac.uk
authors.forename: Xuefeng
authors.initials: X
authors.lastname: Liang
authors.forename: Peter W
authors.initials: PW
authors.lastname: McOwan
authors.forename: Alan
authors.initials: A
authors.lastname: Johnston
mesh_terms: D032701:Biomimetics / Q000379:methods*; D003116:Color; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009038:Motion; D016011:Normal Distribution; D013057:Spectrum Analysis