Chang Li, Dedong Yang, Peng Song, Chang Guo. Global-Aware Siamese Network for Thermal Infrared Object Tracking[J]. Acta Optica Sinica, 2021, 41(6): 0615002
- Acta Optica Sinica
- Vol. 41, Issue 6, 0615002 (2021)
Fig. 1. Global-aware object tracking framework
Fig. 2. Visualization of feature fusion
Fig. 3. Architecture of proposed global-aware network model
Fig. 4. Encoding-decoding module in self-attention mechanism
Fig. 5. Overall accuracy and success rate of different algorithms. (a) Precision; (b) success rate
Fig. 6. Precision of different attributes videos on PTB-TIR dataset. (a) Deformation; (b) occlusion; (c) scale variation; (d) background clutter; (e) low resolution; (f) fast motion; (g) motion blur; (h) out of view; (i) thermal crossover
Fig. 7. Success rates of different attributes videos on PTB-TIR dataset. (a) Deformation; (b) occlusion; (c) scale variation; (d) background clutter; (e) low resolution; (f) fast motion; (g) motion blur; (h) out of view; (i) thermal crossover
Fig. 8. Actual tracking results of six algorithms. (a) Airplane; (b) campus; (c) conversation; (d) road; (e) meetion; (f) crowd
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Table 1. Comparison of results of ablation experiments on PTB-TIR dataset
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Table 2. Comparison of experimental results of 11 trackers on PTB-TIR dataset
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