Name
Title | ||
|---|---|---|
Spatio-temporal continuous wavelet transforms for motion-based segmentation in real image sequences |
Abstract | ||
|---|---|---|
The purpose of this paper is to develop a motion based segmentation for digital image sequences that is based on the continuous wavelet transform. The continuous wavelet transform allows estimating the motion parameters on all the moving discontinuities, edges and boundaries in the image sequence. This technique provides all the information of motion parameter estimates and edge locations at once without going back and forth refining the segmentation and the motion parameter estimation. Also, this is achieved without involving any point/block corresponding techniques in our algorithm. The edges and the motion parameter estimates are calculated locally on small windows or pixels in the image planes by maximizing the square of the modulus of the wavelet transform. A clustering procedure allows separating all the detected edges into clusters of homogeneous motion. Building a ridge skeleton on the reconstructed edges in each cluster provides the ultimate motion-based segments or partition. The algorithm was simulated using real traffic image sequences acquired by a mobile camera and proved to be accurate and robust |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICIP.1998.723612 | ICIP (2) |
Keywords | Field | DocType |
parameter estimates,pattern clustering,motion parameters,mobile camera,wavelet transforms,parameter estimation,digital image sequences,boundaries,partition,clustering procedure,image segmentation,real image sequences,image planes,spatio-temporal continuous wavelet transforms,reconstructed edges,motion estimation,image reconstruction,ridge skeleton,moving discontinuities,homogeneous motion,edge detection,image sequences,wavelet transform,edges,motion-based segmentation,continuous wavelet transform,clustering algorithms,digital images,digital image,windows | Computer vision,Quarter-pixel motion,Motion field,Pattern recognition,Edge detection,Computer science,Image segmentation,Artificial intelligence,Motion estimation,Real image,Stationary wavelet transform,Wavelet transform | Conference |
Volume | ISBN | Citations |
2 | 0-8186-8821-1 | 7 |
PageRank | References | Authors |
0.54 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingqi Kong | 1 | 14 | 2.92 |
| Jean-Pierre Leduc | 2 | 23 | 4.52 |
| Bijoy K Ghosh | 3 | 246 | 38.84 |
| M. Victor Wickerhauser | 4 | 82 | 15.55 |