Name
Abstract | ||
|---|---|---|
Cell tracking is a fundamental problem for studying live cell dynamics. A novel approach for low frame rate cell tracking in fluorescent microscopy image is herein proposed. The method is based on sliding band filter detection and Delaunay triangulation sub-graph matching. With this approach we can track a large amount of small cells without their motion model and not relying on cell motion continuity between consecutive images. The effectiveness and robustness of the method were validated by visual inspection and on a ground truth dataset. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISBI.2011.5872573 | 2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO |
Keywords | Field | DocType |
Cell tracking, Delaunay graph matching, small target tracking, low frame rate tracking | Computer vision,Computer science,Robustness (computer science),Video tracking,Ground truth,Frame rate,Pixel,Artificial intelligence,Trajectory,Mesh generation,Delaunay triangulation | Conference |
Volume | Issue | ISSN |
null | null | 1945-7928 |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxi Chen | 1 | 6 | 1.78 |
| Pedro Quelhas | 2 | 261 | 21.51 |
| Aurélio C. Campilho | 3 | 1173 | 70.44 |