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| 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, October, 1996. | |||
| BibTex | x | ||
| @article{ 10.1109/34.541412, author = {Phillipe Burlina and Rama Chellappa}, title = {Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {18}, number = {10}, issn = {0162-8828}, year = {1996}, pages = {1029-1033}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.541412}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature IS - 10 SN - 0162-8828 SP1029 EP1033 EPD - 1029-1033 A1 - Phillipe Burlina, A1 - Rama Chellappa, PY - 1996 KW - Motion analysis KW - frequency domain analysis KW - time-to-collision KW - Mellin transforms KW - spectral structure. VL - 18 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
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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