• Laser & Optoelectronics Progress
  • Vol. 58, Issue 4, 0410009 (2021)
Wei Guo, Chen Yang*, Haicheng Qu, and Yuzhe Xing
Author Affiliations
  • School of Software, Liaoning Technical University,Huludao, Liaoning 125105, China
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    DOI: 10.3788/LOP202158.0410009 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Schematic of overall frame
    Fig. 1. Schematic of overall frame
    Response maps and filter updates of DragonBaby sequence in different frames
    Fig. 2. Response maps and filter updates of DragonBaby sequence in different frames
    Gird motion partition effect diagram
    Fig. 3. Gird motion partition effect diagram
    GMS detector detection effect diagram
    Fig. 4. GMS detector detection effect diagram
    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. 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
    Precision and success rate curves of different tracking algorithms. (a) Precision; (b) Success rate
    Fig. 6. Precision and success rate curves of different tracking algorithms. (a) Precision; (b) Success rate
    Comparison of tracking precision under partial challenge environment. (a)Scale variation; (b)fast motion
    Fig. 7. Comparison of tracking precision under partial challenge environment. (a)Scale variation; (b)fast motion
    Comparison of success rate under partial challenge environment. (a)Occlusion; (b) scale variation
    Fig. 8. Comparison of success rate under partial challenge environment. (a)Occlusion; (b) scale variation
    Video sequenceFrameChallenge factor
    Basketball725OCC、DEF、IV
    BlurOwl631MB、FM、IPR、SV
    Football362OCC、BC、IPR、OPR
    Freeman4283SV、OCC、BC、IPR、OPR
    Human4Liquor6671741IV、OCC、SV、DEFIV、SV、OCC、MB、FM、OPR、OV、BC
    Skating2-2473SV、OCC、DEF、FM、OPR
    Soccer392SV、IV、BC、FM、OCC、MB、IPR、OPR
    Table 1. Information of the test video sequences
    ChallengeOursKCFfDSSTSRDCFStapleTLD
    IV0.7880.7240.7200.7810.7780.515
    OV0.7260.5010.4800.7320.6680.349
    SV0.7970.6310.6490.7380.7210.498
    OCC0.8000.6320.6020.7240.7270.515
    BC0.7390.7440.6950.7450.7410.544
    MB0.7930.6010.5700.7670.6990.547
    FM0.8160.6210.5750.7690.7100.546
    DEF0.7460.6190.5600.7300.7470.490
    LR0.8490.5600.6020.6630.6100.538
    IPR0.7460.6850.6960.7300.7550.550
    OPR0.7990.6630.6510.7310.7260.507
    Table 2. Track precision comparison of different algorithms under 11 challenging environments
    ChallengeOursKCFfDSSTSRDCFStapleTLD
    IV0.7520.5500.6510.7350.7150.435
    OV0.5140.4570.4430.5580.5480.311
    SV0.7170.4170.5480.6640.6070.371
    OCC0.7430.5120.5380.6740.6530.429
    BC0.7940.5970.6190.7110.6790.465
    MB0.7290.5500.5530.7590.6500.530
    FM0.7590.5260.5380.7170.6450.506
    DEF0.7140.5030.5050.6590.6560.415
    LR0.6230.2950.6440.6250.4720.319
    IPR0.6640.5410.6590.6590.6630.471
    OPR0.6360.5160.5690.6190.6620.417
    Table 3. Success rate comparison of different algorithms under 11 challenge environments
    Video sequenceOursKCFfDSSTSRDCFStapleTLD
    Basketball25.70618.56212.01924.56319.56314.145
    BlurOwl19.59822.44017.21225.30923.76411.908
    Football24.24819.95715.66522.86221.77112.557
    Freeman441.39329.84930.70237.42339.87816.312
    Human4Liquor17.46930.19613.25921.57310.58922.62019.13426.98716.18025.1099.10217.445
    Skating2-221.28120.05617.22521.56522.32313.608
    Soccer26.64015.42211.87417.21119.79710.794
    Table 4. Average tracking speed of different algorithms on video sequencesunit:frame/s
    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
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