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 (WIT) 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.
Original language | English (US) |
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Pages (from-to) | 1029-1033 |
Number of pages | 5 |
Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Volume | 18 |
Issue number | 10 |
DOIs | |
State | Published - 1996 |
Externally published | Yes |
Keywords
- Frequency domain analysis
- Mellin Iransforms
- Motion analysis
- Spectral structure
- Time-to-collision
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics