Acta Optica Sinica, Volume. 38, Issue 10, 1015002(2018)
Robust Real-Time Visual Tracking via Dual Model Adaptive Switching
Fig. 2. Partial tracking results of single-layer adaptive features and model switching. (a) Skiing; (b) Walking2; (c) Freeman1; (d) Tiger1
Fig. 3. Expression of object characteristics in different convolution layer. (a) Target image; output convolution feature of (b) pool4 and (c) conv5-3 with VGG-19
Fig. 4. Comparison of images (a) before and (b) after adaptive convolution features selection
Fig. 5. PSR and maximum response curves of Freeman1 video tracking process. (a) PSR curves; (b) maximum response curves
Fig. 7. Precision plots of ten algorithms on different challenges. (a) IV; (b) OPR; (c) SV; (d) OCC; (e) DEF; (f) MB; (g) FM; (h) IPR; (i) OV; (j) BC; (k) LR
Fig. 8. Success rate plots of ten algorithms on different challenges. (a) IV; (b) OPR; (c) SV; (d) OCC; (e) DEF; (f) MB; (g) FM; (h) IPR; (i) OV; (j) BC; (k) LR
Fig. 9. Comparison of partial tracking results of six tracing algorithms. (a) Singer2; (b) Tiger1; (c) Car1; (d) Human3; (e) Girl2; (f) Human2
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Changzhen Xiong, Manqiang Che, Runling Wang, Yan Lu. Robust Real-Time Visual Tracking via Dual Model Adaptive Switching[J]. Acta Optica Sinica, 2018, 38(10): 1015002
Category: Machine Vision
Received: Apr. 12, 2018
Accepted: May. 25, 2018
Published Online: May. 9, 2019
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