Name
Abstract | ||
|---|---|---|
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition to maximize the analysis probing strength. The new measures outperform existing ones in interpretation potential and in better distinguishing between different tracking behaviors. We show that these measures generalize th... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCYB.2020.2980618 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Target tracking,Benchmark testing,Performance evaluation,Visualization,Annotations,Current measurement | Journal | 51 |
Issue | ISSN | Citations |
12 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 15 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alan Lukezic | 1 | 245 | 9.62 |
| Luka Cehovin Zajc | 2 | 5 | 2.87 |
| Tomás Vojír | 3 | 403 | 14.52 |
| Jiri Matas | 4 | 283 | 14.03 |
| Matej Kristan | 5 | 960 | 47.02 |