Acta Optica Sinica, Volume. 45, Issue 9, 0910003(2025)
Hyperspectral Target Tracking Based on Environmental Residual-Aware Multi-Regularized Correlation Filter
Fig. 2. Feature fusion based on false-color/three-band spectral images. (a) Original false-color image of frame 2 in L_car2 sequence; (b) feature extracted from three-band spectral image; (c) feature extracted from false-color image; (d) false-color/spectral image feature fusion
Fig. 3. Performance comparisons of 5 tracking algorithms on HOTC2024. (a) Success rate plots; (b) precision plots
Fig. 4. Performance comparisons of 5 tracking algorithms on the fast motion challenge of HOTC2024. (a) Success rate plots; (b) precision plots
Fig. 5. Performance comparisons of 5 tracking algorithms on the scale variation challenge of HOTC2024. (a) Success rate plots; (b) precision plots
Fig. 6. Performance comparisons of 5 tracking algorithms on IMEC25. (a) Success rate plots; (b) precision plots
Fig. 7. Performance comparisons of 5 tracking algorithms on the fast motion challenge of IMEC25. (a) Success rate plots; (b) precision plots
Fig. 8. Performance comparisons of 5 tracking algorithms on the scale variation challenge of IMEC25. (a) Success rate plots; (b) precision plots
Fig. 9. Qualitative comparison results of three groups of videos in the HOTC2024 test sequence. (a) Droneshow2; (b) L_car2; (c) Officechair2
Fig. 10. Two failure cases of the proposed algorithm in two sequences of HOTC2024. (a) pool2; (b) S_soccer4
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Xiaoqing Tian, Bao Liu, Qiang Guo, Hongguang Pan. Hyperspectral Target Tracking Based on Environmental Residual-Aware Multi-Regularized Correlation Filter[J]. Acta Optica Sinica, 2025, 45(9): 0910003
Category: Image Processing
Received: Dec. 24, 2024
Accepted: Mar. 10, 2025
Published Online: May. 16, 2025
The Author Email: Xiaoqing Tian (tianxiaoqing2017@xust.edu.cn)
CSTR:32393.14.AOS241923