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Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature
October 1996 (vol. 18 no. 10)
pp. 1029-1033

Abstract—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.

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Index Terms:
Motion analysis, frequency domain analysis, time-to-collision, Mellin transforms, spectral structure.
Citation:
Phillipe Burlina, Rama Chellappa, "Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 10, pp. 1029-1033, Oct. 1996, doi:10.1109/34.541412
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