• Laser & Optoelectronics Progress
  • Vol. 56, Issue 23, 231503 (2019)
Mingming Liu1、*, Dong Pei1、2、**, Jü Liu1, Donghui Zhu1, and Haoxiang Sun1
Author Affiliations
  • 1College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730030, China
  • 2Engineering Research Center of Gansu Province for Intelligence Information Technology and Application, Lanzhou, Gansu 730030, China
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    DOI: 10.3788/LOP56.231503 Cite this Article Set citation alerts
    Mingming Liu, Dong Pei, Jü Liu, Donghui Zhu, Haoxiang Sun. Filter Tracking Based on Time Regularization and Background-Aware[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231503 Copy Citation Text show less
    Comparison results of sample extraction. (a) Traditional CFS sample extraction results; (b) Results of TBACF sample extraction
    Fig. 1. Comparison results of sample extraction. (a) Traditional CFS sample extraction results; (b) Results of TBACF sample extraction
    Tracking flow chart of TBACF algorithm
    Fig. 2. Tracking flow chart of TBACF algorithm
    Precision and success rate scores of six algorithms on OTB-2015 dataset. (a) Precision score; (b) success rate score
    Fig. 3. Precision and success rate scores of six algorithms on OTB-2015 dataset. (a) Precision score; (b) success rate score
    Tracking precision scores of six algorithms on eleven attribute sequences. (a) Precision plots of low resolution; (b) precision plots of out-of-view; (c) precision plots of motion blur; (d) precision plots of background clutter; (e) precision plots of illumination variation; (f) precision plots of fast motion; (g) precision plots of deformation; (h) precision plots of occlusion; (i) precision plots of in-plane rotation; (j) precision plots of out-plane rotation; (k) precision plots of scale vari
    Fig. 4. Tracking precision scores of six algorithms on eleven attribute sequences. (a) Precision plots of low resolution; (b) precision plots of out-of-view; (c) precision plots of motion blur; (d) precision plots of background clutter; (e) precision plots of illumination variation; (f) precision plots of fast motion; (g) precision plots of deformation; (h) precision plots of occlusion; (i) precision plots of in-plane rotation; (j) precision plots of out-plane rotation; (k) precision plots of scale vari
    Tracking success rate scores of six algorithms on eleven attribute sequences. (a) Success rate scores of low resolution; (b) success rate scores of out-of-view; (c) success rate scores of motion blur; (d) success rate scores of background clutter; (e) success rate scores of illumination variation; (f) success rate scores of fast motion; (g) success rate scores of deformation; (h) success rate scores of occlusion; (i) success rate scores of in-plane rotation; (j) success rate scores of out-of-pla
    Fig. 5. Tracking success rate scores of six algorithms on eleven attribute sequences. (a) Success rate scores of low resolution; (b) success rate scores of out-of-view; (c) success rate scores of motion blur; (d) success rate scores of background clutter; (e) success rate scores of illumination variation; (f) success rate scores of fast motion; (g) success rate scores of deformation; (h) success rate scores of occlusion; (i) success rate scores of in-plane rotation; (j) success rate scores of out-of-pla
    Tracking results of six algorithms in three cases as occlusion of target, off-plane rotation of target, and background ambiguity
    Fig. 6. Tracking results of six algorithms in three cases as occlusion of target, off-plane rotation of target, and background ambiguity
    AlgorithmPOPEAFPS
    ABCF0.79829.56
    SRDCF0.7706.60
    Staple0.75167.88
    DSST0.66146.39
    KCF0.667322.86
    TBACF0.80129.37
    Table 1. Testing results of six algorithms on OTB-2015 dataset
    Mingming Liu, Dong Pei, Jü Liu, Donghui Zhu, Haoxiang Sun. Filter Tracking Based on Time Regularization and Background-Aware[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231503
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