Jing Yang, Long Ma. Thermal Infrared Object Tracking Method Based on Positional Perception[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210007
- Laser & Optoelectronics Progress
- Vol. 60, Issue 12, 1210007 (2023)
Fig. 1. Structure of the proposed network
Fig. 2. Schematic of dilated convolution
Fig. 3. Structure of positional perception module
Fig. 4. Thermal infrared object visualization
Fig. 5. Structure of channel attention module
Fig. 6. RPN module
Fig. 7. Class activated thermal maps. (a) Without attention module; (b) with attention module
Fig. 8. Some tracking results
Fig. 9. Evaluation results. (a) Precision; (b) success rate
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Table 1. Evaluation sequence
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Table 2. Comparison of experimental results of 6 trackers on VOT-TIR2019 and GTOT datasets
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