Name
Abstract | ||
|---|---|---|
This paper addresses the problem of estimating, analyzing and tracking objects moving with spatio-temporal rotational motion (spin or orbit). It is assumed that the digital signals of interest are acquired from a camera and structured as digital image sequences. The trajectories in the signal are two-dimensional spatial projections in time of motion taking place in a three-dimensional space. The purpose of this work is to focus on the rotational motion i.e. estimate the angular velocity. In natural scenes, rotational motion usually composes with translational or accelerated motion on a trajectory. This paper shows that trajectory parameters and rotational motion can be efficiently estimated and tracked either simultaneously or separately. The final goal of this work is to provide selective reconstructions of moving objects of interest. This paper constructs new continuous wavelet transforms that can be tuned to both translational and rotational motion. The parameters of analysis that are taken into account in these rotational wavelet transforms are space and time position, velocity, spatial scale, angular orientation and angular velocity. The continuous wavelet functions are finally discretized for signal processing. The link between rotational motion, symmetry and critical sampling is also presented. Applications are presented with tracking and estimation. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICASSP.1998.678099 | PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6 |
Keywords | Field | DocType |
tracking,image analysis,kalman filters,wavelet transform,lie algebras,image reconstruction,wavelet analysis,angular velocity,wavelet transforms,three dimensional,kalman filter,motion estimation,object tracking,digital image,lie algebra,signal processing,digital signals,spatial scale,rotational motion,continuous wavelet transform,harmonic oscillator,digital images,three dimensional space | Computer vision,Linear motion,Quarter-pixel motion,Motion field,Computer science,Artificial intelligence,Motion estimation,Motion analysis,Motion system,Match moving,Wavelet | Conference |
ISSN | Citations | PageRank |
1520-6149 | 4 | 0.83 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingqi Kong | 1 | 14 | 2.92 |
| Jean-Pierre Leduc | 2 | 23 | 4.52 |
| Bijoy K Ghosh | 3 | 246 | 38.84 |
| Jonathan R. Corbett | 4 | 4 | 0.83 |
| M. Victor Wickerhauser | 5 | 82 | 15.55 |