Name
Abstract | ||
|---|---|---|
Eddy tracking is just finding all the vectors with similar motion in its influence region and recording its moving route. Virtually, a flow field is able to be replaced with a scalar dataset, if its feature information can be faithfully preserved by the scalar dataset. Therefore, the eddy tracking problem can be solved by tracking the moving objects in an image sequence after a certain transformation. Here, we propose a new method to track several moving eddies simultaneously and three main technologies are introduced: green function method, motion probability distribution and quadratic program. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICIG.2004.60 | ICIG |
Keywords | Field | DocType |
green function method,quadratic programming,scalar dataset,similar motion,unsteady flow field,eddy tracking problem,feature information,green's function methods,quadratic program,image sequence,tracking,image sequences,eddy tracking,certain transformation,flow field,motion probability distribution,new method,probability,image motion analysis,green function,probability distribution | Eddy,Computer vision,Green's function,Computer science,Scalar (physics),Flow (psychology),Probability distribution,Artificial intelligence,Quadratic programming,Image sequence | Conference |
ISBN | Citations | PageRank |
0-7695-2244-0 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongyu Li | 1 | 443 | 32.34 |
| Li Teng | 2 | 45 | 3.98 |
| Wenbin Chen | 3 | 117 | 9.17 |
| I-Fan Shen | 4 | 173 | 12.32 |