CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 1996 vol.18 Issue No.10 - October
Issue No.10 - October (1996 vol.18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.541412
<p><b>Abstract</b>—This paper addresses the use of spatiotemporal transform methods applied to the analysis of dynamic image sequences and the characterization of image motion. Image motion including a divergent component (resulting from a looming camera component) is analyzed in the spatiotemporal 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 spatiotemporal MT analysis.</p>
Motion analysis, frequency domain analysis, time-to-collision, Mellin transforms, spectral structure.
Phillipe Burlina, "Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.18, no. 10, pp. 1029-1033, October 1996, doi:10.1109/34.541412