Name
Title | ||
|---|---|---|
Increasing Efficiency of Hausdorff Approach for Tracking Real Scenes with Complex Environments |
Abstract | ||
|---|---|---|
Abstract: Tracking moving objects based on a Hausdorff approach can be formulated in terms of a matching process between two sets of edge points extracted from the object model to be localized and the corresponding frame of the image sequence. However, no information about the global measures of the object features positions has been considered to carry out the matching process through a search strategy. This situation lead to an increase of computational cost in tracking process, due to no limitations ("pruning") in search region in problem space. Experimental results with real complex world image sequences including changing background conditions are provided to illustrate the performance and advantages with respect to previous approaches. The results are analyzed. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ICIAP.2001.956997 | ICIAP |
Keywords | Field | DocType |
object model | Kernel (linear algebra),Computer vision,Pattern recognition,Computer science,Edge detection,Object model,Feature extraction,Artificial intelligence,Hausdorff space,Motion estimation,Image sequence,Computational complexity theory | Conference |
ISBN | Citations | PageRank |
0-7695-1183-X | 1 | 0.37 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elena Sanchez-Nielsen | 1 | 35 | 4.73 |
| Javier Lorenzo-Navarro | 2 | 1 | 0.37 |
| Mario Hernández-Tejera | 3 | 1 | 0.37 |