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Analyzing looming motion components from their spatiotemporal spectral signature

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2 Author(s)
P. Burlina ; Center for Autom. Res., Maryland Univ., College Park, MD, USA ; R. Chellappa

This paper addresses the use of spatio-temporal transform methods applied to the analysis of dynamic image sequences and the characterization of image motion. The image motion including a divergent component (resulting from a looming camera component) is analyzed in the spatio-temporal Mellin transform (MT) domain, resulting in the separation of the spectrum into two parts: a structural term corresponding to the spatial MT of the static image, and a kinematic term depending on time-to-collision (a motion support). We examine potential applications of this property for the recovery of image motion from integral image brightness measurements and the computation of time-to-collision using spatio-temporal MT analysis

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:18 ,  Issue: 10 )