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Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.541412October 1996 (vol. 18 no. 10) pp. 1029-1033
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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
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@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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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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