Name
Abstract | ||
|---|---|---|
A fundamental problem in processing sequences of images is the computation of the optical flow, an approximation to the real image motion. This paper presents a new algorithm for optical flow estimation based on a spatiotemporal-frequency approach, specifically on the computation of the Wigner- Ville distribution and the Hough Transform. Experimental results are compared with an implementation of the varia- tional technique for local and global motion estimation, where it is shown that the results are accurate and robust to noise degradations. |
Year | Venue | Keywords |
|---|---|---|
2006 | EUSIPCO | hough transforms,wigner distribution,image sequences,motion estimation,variational techniques,hough transform,global motion estimation,image sequence,local motion estimation,optical flow estimation,pseudowigner ville distribution,spatiotemporal-frequency approach,variational technique |
Field | DocType | ISSN |
Computer vision,Hough transform,Optical flow estimation,Artificial intelligence,Real image,Motion estimation,Optical flow,Mathematics,Computation | Conference | 2219-5491 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noemí Carranza | 1 | 0 | 0.34 |
| Filip Sroubek | 2 | 149 | 7.80 |
| Gabriel Cristóbal | 3 | 184 | 24.18 |