Acta Optica Sinica, Volume. 39, Issue 4, 0415002(2019)
Spatial Regularization Correlation Filtering Tracking via Deformable Diversity Similarity
Figures & Tables(6)
Table 1. Results of 10 algorithms on OTB-100 dataset
View tableTable 1. Results of 10 algorithms on OTB-100 dataset
Attribute Algorithm DDST SRDCF Staple MEEM MUSTer Siamfc3s DCFNet KCF DSST TGPR Accuracy 0.825 0.793 0.784 0.780 0.774 0.771 0.761 0.696 0.680 0.643 Success rate 0.625 0.599 0.581 0.529 0.577 0.582 0.580 0.477 0.513 0.458
Table 2. Tracking accuracy of 10 algorithms on 11 attribute sequences
View tableTable 2. Tracking accuracy of 10 algorithms on 11 attribute sequences
Attribute Algorithm DDST SRDCF Staple MEEM MUSTer Siamfc3s DCFNet KCF DSST TGPR IV 0.821 0.792 0.791 0.740 0.782 0.736 0.722 0.719 0.721 0.633 OPR 0.796 0.748 0.738 0.794 0.744 0.756 0.755 0.677 0.644 0.642 OCC 0.779 0.735 0.726 0.739 0.734 0.722 0.755 0.630 0.597 0.594 SV 0.803 0.751 0.727 0.735 0.710 0.735 0.738 0.633 0.638 0.599 DEF 0.768 0.734 0.748 0.754 0.689 0.690 0.671 0.617 0.542 0.630 MB 0.790 0.767 0.707 0.727 0.678 0.705 0.665 0.601 0.567 0.529 FM 0.778 0.769 0.697 0.750 0.683 0.743 0.671 0.621 0.552 0.533 OV 0.701 0.597 0.661 0.678 0.591 0.669 0.727 0.501 0.481 0.493 IPR 0.766 0.745 0.770 0.792 0.773 0.742 0.738 0.701 0.691 0.659 BC 0.846 0.775 0.766 0.742 0.784 0.690 0.741 0.713 0.704 0.593 LR 0.774 0.765 0.695 0.808 0.747 0.900 0.726 0.671 0.649 0.622
Table 3. Tracking success rate of 10 algorithms on 11 attribute sequences
View tableTable 3. Tracking success rate of 10 algorithms on 11 attribute sequences
Attribute Algorithm DDST SRDCF Staple MEEM MUSTer Siamfc3s DCFNet KCF DSST TGPR IV 0.641 0.613 0.598 0.517 0.600 0.568 0.581 0.479 0.558 0.452 OPR 0.590 0.551 0.534 0.525 0.537 0.558 0.575 0.453 0.470 0.455 OCC 0.592 0.559 0.548 0.503 0.554 0.543 0.573 0.443 0.453 0.429 SV 0.604 0.562 0.525 0.469 0.512 0.552 0.565 0.394 0.468 0.404 DEF 0.562 0.544 0.554 0.489 0.524 0.506 0.497 0.436 0.420 0.455 MB 0.620 0.594 0.546 0.554 0.544 0.550 0.544 0.459 0.468 0.429 FM 0.605 0.597 0.537 0.541 0.533 0.568 0.541 0.459 0.447 0.420 OV 0.539 0.460 0.481 0.483 0.469 0.506 0.557 0.393 0.385 0.373 IPR 0.564 0.544 0.552 0.528 0.551 0.557 0.557 0.469 0.502 0.462 BC 0.635 0.583 0.574 0.517 0.581 0.523 0.569 0.498 0.522 0.428 LR 0.526 0.514 0.396 0.382 0.415 0.618 0.503 0.290 0.370 0.344
Table 4. Center errors of Lemming, Box and Human3 sequence with different algorithms
View tableTable 4. Center errors of Lemming, Box and Human3 sequence with different algorithms
Sequence Frame Algorithm TGPR KCF Siamfc3s SRDCF Staple MUSTer DDST DCFNet Lemming 261 / / 3.6851 / / 3.2016 2.1213 / 353 / / 56.7350 / / 14.2302 15.9531 / 556 / / 6.7107 / / 12.1357 13.5093 / Box 27 / / / / / 3.6401 3.3541 2.7174 311 / / / / / 3.1623 0.7071 3.0192 469 / / / / / 45.0694 4.5000 5.5862 Human3 31 49.9710 56.7671 15.7467 3.9051 4.6144 3.5355 3.9051 / 57 94.9710 100.6504 209.9629 16.6208 17.0386 15.7003 27.1662 / 95 163.0616 170.7513 260.5964 84.1576 86.0142 166.1246 1.0000 /
Table 5. Center error of MotorRolling sequence
View tableTable 5. Center error of MotorRolling sequence
Frame Algorithm DDST MUSTer KCF 10 62.3939 53.1507 55.5428 42 7.0178 222.6398 226.2576 89 15.9765 10.8096 420.0583
Table 6. Center errors of Board, Couple and Football sequence with different algorithms
View tableTable 6. Center errors of Board, Couple and Football sequence with different algorithms
Sequence Frame Algorithm MUSTer TGPR Siamfc3s MEEM Staple DCFNet DDST KCF DSST Board 67 239.8101 284.4558 294.7367 95.4303 6.8969 2.8056 1.4142 / / 553 230.2411 272.9528 288.4955 44.6796 11.2097 7.8479 22.5000 / / 623 225.7977 266.7260 287.3400 7.8743 25.8323 24.5449 4.9497 / / Couple 16 / 27.6993 / / / 1.6144 1.1180 4.0311 32.8824 37 / 111.6756 / / / 0.6909 0.5000 35.2172 98.5203 122 / 177.3186 / / / 16.5059 8.0623 77.1314 176.5708 Football 32 / / / / 2.0616 0.6016 2.0616 1.0000 1.0000 61 / / / / 0.5000 1.7121 0.5000 3.0414 1.1180 348 / / / / 13.2857 53.8005 11.2805 49.2976 57.0285
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Ning Mao, Dedong Yang, Yong Li, Yajun Han. Spatial Regularization Correlation Filtering Tracking via Deformable Diversity Similarity[J]. Acta Optica Sinica, 2019, 39(4): 0415002
Paper Information
Category: Machine Vision
Received: Sep. 20, 2018
Accepted: Dec. 12, 2018
Published Online: May. 10, 2019
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