DocumentCode :
1417800
Title :
Analyzing looming motion components from their spatiotemporal spectral signature
Author :
Burlina, Phillipe ; Chellappa, Rama
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Volume :
18
Issue :
10
fYear :
1996
fDate :
10/1/1996 12:00:00 AM
Firstpage :
1029
Lastpage :
1033
Abstract :
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
Keywords :
brightness; computer vision; frequency-domain analysis; image restoration; image sequences; motion estimation; spectral analysis; transforms; Mellin transform; computer vision; dynamic image sequences; frequency domain analysis; image brightness measurements; image motion; image recovery; looming camera component; spatiotemporal spectral signature; time-to-collision; Brightness; Cameras; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Kinematics; Motion analysis; Motion measurement; Spatiotemporal phenomena;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.541412
Filename :
541412
Link To Document :
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