Matlab implementation of the Rotation-Aware Correlation Filters for Visual Tracking (RACF). Raw benchmark results can be found in results/.
This repository is forked from the ECO repo. For core modifications you can refer to the RACF bundle (source code) commit.
- configure dependencies use
git submodule init && git submodule update - run
install.m - run
demo_ECO(_gpu).mfor visualization
 |
 |
| EAO | A | R | |
|---|---|---|---|
| ours | 0.384 | 0.561 | 0.200 |
| ECO | 0.374 | 0.548 | 0.210 |
| C-COT | 0.331 | 0.539 | 0.238 |
| TCNN | 0.325 | 0.554 | 0.268 |
| Staple | 0.295 | 0.544 | 0.378 |
| EAO | A | R | |
|---|---|---|---|
| ours | 0.320 | 0.503 | 0.248 |
| CFCF | 0.286 | 0.509 | 0.281 |
| ECO | 0.280 | 0.483 | 0.276 |
| C-COT | 0.267 | 0.494 | 0.318 |