Infrared and Laser Engineering, Volume. 53, Issue 11, 20240260(2024)
An RGBT progressive fusion visual tracking with time-domain updated templates
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Fig. 7. The challenge attribute comparison curve on RGB234 dataset
Table 1. The parameters structure of backbone network
View tableView in ArticleTable 1. The parameters structure of backbone network
Layer Kernel Stride Template Image 127×127×3 303×303×3 Conv1 11×11 2 59×59×96 147×147×96 Pool1 3×3 2 29×29×96 73×73×96 Conv2 5×5 1 25×25×256 69×69×256 Pool2 3×3 2 12×12×256 34×34×256 Conv3 3×3 1 10×10×384 32×32×384 MDAM - - 8×8×384 30×30×384 MDAM - - 6×6×256 28×28×256
Table 2. The comparison of a series of algorithms results
View tableView in ArticleTable 2. The comparison of a series of algorithms results
Year Method FPS PR SR 2021 SiamCDA 37 87.7% 73.2% 2022 DuSiamRT 116 76.6% 62.8% 2023 SiamIVFN 147 91.5% 79.3% 2023 SiamCAF 105 90.6% 73.0% 2023 SiamTDR 127 88.5% 71.4% SiamDPF (Ours)68 91.6% 73.5%
Table 3. The result of ablation experiments
View tableView in ArticleTable 3. The result of ablation experiments
Group MDAM CPFM CUTM GTOT PR SR FPS/frame·s–1 1 Ο Ο Ο 0.883 0.719 114 2 Π Ο Ο 0.892 0.724 92 3 Π Π Ο 0.909 0.732 76 4 Π Π Π 0.916 0.735 68
Table 4. The real-time analysis of network parameters
View tableView in ArticleTable 4. The real-time analysis of network parameters
Group MDAM CPFM CUTM Parameters/×106 FPS/frame·s–1 1 Ο Ο Ο - 114 2 Π Ο Ο 12.54 92 3 Π Π Ο 16.97 76 4 Π Π Π 18.73 68
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Yong GUO, Haiyun SHEN, Jianyu CHEN, Jiemin YUAN. An RGBT progressive fusion visual tracking with time-domain updated templates[J]. Infrared and Laser Engineering, 2024, 53(11): 20240260
Paper Information
Category: 图像处理
Received: Jun. 14, 2024
Accepted: --
Published Online: Dec. 13, 2024
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