“Enhanced Robust Spatial Feature Selection and Correlation Filter Learning for UAV Tracking”, Neural Networks,2022.
https://www.sciencedirect.com/science/article/pii/S0893608023000035
EFSCF is a tracker based on correlation filter for UAV tracking which can run at ~18fps on a single CPU. Note that due to different configuration environment, some algorithms may be inconsistent with the original results of the their papers. For fair comparison, all trackers run on the same platform with ubuntu16.04,matlab2017b,matconvnet-1.0-beta25,opencv2.4.13,GPU NVIDIA-1080.
models password: nj4b
We have tested our algorithm on UAV123，UAV20L, UAVDT, Visdrone2019, OTB2015, OTB2013 datasets and have achieved good performance compared to other algorithms.
2020-06
| OTB2013 | OURS | LADCF | STRCF | ECO_HC | ARCF | BACF | SRDCF | DSST | SAMF | KCF |
| ------- | ---- | ----- | ----- | ------ | ---- | ---- | ----- | ---- | ---- | ---- |
| S*1000 | 693 | 675 | 687 | 667 | 642 | 657 | 618 | 558 | 580 | 514 |
| P*1000 | 892 | 864 | 892 | 889 | 850 | 861 | 823 | 748 | 785 | 740 || OTB100 | OURS | LADCF | STRCF | ECO_HC | ARCF | BACF | SRDCF | DSST | SAMF | KCF |
| ------- | ---- | ----- | ----- | ------ | ---- | ---- | ----- | ---- | ---- | ---- |
| S*1000 | 675 | 664 | 657 | 644 | 617 | 621 | 591 | 518 | 555 | 477 |
| P*1000 | 875 | 864 | 865 | 858 | 818 | 824 | 776 | 689 | 754 | 696 || UAV_123 | OURS | LADCF | STRCF | ECO_HC | ARCF | BACF | SRDCF | DSST | SAMF | KCF |
| ------- | ---- | ----- | ----- | ------ | ---- | ---- | ----- | ---- | ---- | ---- |
| S*1000 | 509 | 494 | 478 | 505 | 470 | 458 | 459 | 410 | 395 | 331 |
| P*1000 | 712 | 702 | 678 | 724 | 674 | 656 | 665 | 590 | 576 | 523 || UAV20L | OURS | LADCF | STRCF | ECO_HC | ARCF | BACF | SRDCF | DSST | SAMF | KCF |
| ------ | ---- | ----- | ----- | ------ | ---- | ---- | ----- | ---- | ---- | ---- |
| S*1000 | 452 | 445 | 416 | 419 | 396 | 397 | 343 | 270 | 317 | 196 |
| P*1000 | 604 | 593 | 560 | 547 | 559 | 554 | 507 | 459 | 457 | 311 || UAVDT | OURS | LADCF | STRCF | ECO_HC | ARCF | BACF | SRDCF | DSST | SAMF | KCF |
| ------ | ---- | ----- | ----- | ------ | ---- | ---- | ----- | ---- | ---- | ---- |
| S*1000 | 478 | 431 | 418 | 431 | 470 | 439 | 428 | 405 | 336 | 293 |
| P*1000 | 750 | 662 | 638 | 718 | 740 | 704 | 690 | 702 | 591 | 575 || VisDrone19 | OURS | LADCF | STRCF | ECO_HC | ARCF | BACF | DSST | SAMF | KCF | OURS |
| ---------- | ---- | ----- | ----- | ------ | ---- | ---- | ---- | ---- | ---- | ---- |
| S*1000 | 544 | 484 | 537 | 561 | 546 | 510 | 497 | 459 | 392 | 539 |
| P*1000 | 749 | 674 | 742 | 753 | 735 | 699 | 675 | 648 | 591 | 743 |
Wen J, Chu H, Lai Z, et al. Enhanced robust spatial feature selection and correlation filter learning for UAV tracking[J]. Neural Networks, 2023.
We thank the contribution of ARCF,STRCF,LADCF, GFSDCF,and ECO. Some of the parameter settings and functions are borrowed from STRCF (https://github.com/lifeng9472/STRCF) ,LADCF (https://github.com/XU-TIANYANG/LADCF).