Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410009(2021)
TLD Target Tracking Fused with GMS Detection and Confidence Discrimination
Figures & Tables(12)
Fig. 2. Response maps and filter updates of DragonBaby sequence in different frames
Fig. 5. Tracking effects of different algorithms on partial sequences. (a)Basketball; (b)BlurOwl; (c)Football; (d)Freeman4; (e)Human4; (f)Liquor; (g)Skating2-2; (h)Soccer
Fig. 6. Precision and success rate curves of different tracking algorithms. (a) Precision; (b) Success rate
Fig. 7. Comparison of tracking precision under partial challenge environment. (a)Scale variation; (b)fast motion
Fig. 8. Comparison of success rate under partial challenge environment. (a)Occlusion; (b) scale variation
Table 1. Information of the test video sequences
View tableTable 1. Information of the test video sequences
Video sequence Frame Challenge factor Basketball 725 OCC、DEF、IV BlurOwl 631 MB、FM、IPR、SV Football 362 OCC、BC、IPR、OPR Freeman4 283 SV、OCC、BC、IPR、OPR Human4 Liquor 667 1741 IV、OCC、SV、DEF IV、SV、OCC、MB、FM、OPR、OV、BC Skating2-2 473 SV、OCC、DEF、FM、OPR Soccer 392 SV、IV、BC、FM、OCC、MB、IPR、OPR
Table 2. Track precision comparison of different algorithms under 11 challenging environments
View tableTable 2. Track precision comparison of different algorithms under 11 challenging environments
Challenge Ours KCF fDSST SRDCF Staple TLD IV 0.788 0.724 0.720 0.781 0.778 0.515 OV 0.726 0.501 0.480 0.732 0.668 0.349 SV 0.797 0.631 0.649 0.738 0.721 0.498 OCC 0.800 0.632 0.602 0.724 0.727 0.515 BC 0.739 0.744 0.695 0.745 0.741 0.544 MB 0.793 0.601 0.570 0.767 0.699 0.547 FM 0.816 0.621 0.575 0.769 0.710 0.546 DEF 0.746 0.619 0.560 0.730 0.747 0.490 LR 0.849 0.560 0.602 0.663 0.610 0.538 IPR 0.746 0.685 0.696 0.730 0.755 0.550 OPR 0.799 0.663 0.651 0.731 0.726 0.507
Table 3. Success rate comparison of different algorithms under 11 challenge environments
View tableTable 3. Success rate comparison of different algorithms under 11 challenge environments
Challenge Ours KCF fDSST SRDCF Staple TLD IV 0.752 0.550 0.651 0.735 0.715 0.435 OV 0.514 0.457 0.443 0.558 0.548 0.311 SV 0.717 0.417 0.548 0.664 0.607 0.371 OCC 0.743 0.512 0.538 0.674 0.653 0.429 BC 0.794 0.597 0.619 0.711 0.679 0.465 MB 0.729 0.550 0.553 0.759 0.650 0.530 FM 0.759 0.526 0.538 0.717 0.645 0.506 DEF 0.714 0.503 0.505 0.659 0.656 0.415 LR 0.623 0.295 0.644 0.625 0.472 0.319 IPR 0.664 0.541 0.659 0.659 0.663 0.471 OPR 0.636 0.516 0.569 0.619 0.662 0.417
Table 4. Average tracking speed of different algorithms on video sequencesunit:frame/s
View tableTable 4. Average tracking speed of different algorithms on video sequencesunit:frame/s
Video sequence Ours KCF fDSST SRDCF Staple TLD Basketball 25.706 18.562 12.019 24.563 19.563 14.145 BlurOwl 19.598 22.440 17.212 25.309 23.764 11.908 Football 24.248 19.957 15.665 22.862 21.771 12.557 Freeman4 41.393 29.849 30.702 37.423 39.878 16.312 Human4 Liquor 17.469 30.196 13.259 21.573 10.589 22.620 19.134 26.987 16.180 25.109 9.102 17.445 Skating2-2 21.281 20.056 17.225 21.565 22.323 13.608 Soccer 26.640 15.422 11.874 17.211 19.797 10.794
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Wei Guo, Chen Yang, Haicheng Qu, Yuzhe Xing. TLD Target Tracking Fused with GMS Detection and Confidence Discrimination[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410009
Paper Information
Category: Image Processing
Received: Jun. 16, 2020
Accepted: Aug. 7, 2020
Published Online: Feb. 8, 2021
The Author Email: Yang Chen (312553405@qq.com)
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