A global re-detection method based on Siamese network in long-term visual tracking
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shaanxi Province
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11554-023-01370-z.pdf
Reference41 articles.
1. Zhang, Z., Zhang, Y., Cheng, X., Li, K.: Siamese network for real-time tracking with action-selection. J Real-time image Process. 17(5), 1647–1657 (2020)
2. Ahmed, I., Jeon, G.: A real-time person tracking system based on siammask network for intelligent video surveillance. J Real-Time Image Process 18(5), 1803–1814 (2021)
3. Lin, Y., Li, M., Liang, X., Xia, C.: SiamLight: lightweight networks for object tracking via attention mechanisms and pixel-level cross-correlation. J Real-Time Image Process 20(2), 31 (2023)
4. Mueller, M., Smith, N., Ghanem, B.: A benchmark and simulator for uav tracking. In: Proc. Eur. Conf. Comput. Vis. (ECCV), pp 445-461 (2016)
5. Wu, Y., Lim, J., Yang, M.H.: Object tracking benchmark. IEEE Trans Pattern Anal Mach Intell. 37(9), 1834–1848 (2015)
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