Visual Object Tracking with Adaptive Template Update and Global Search Augmentation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0301-6_3
Reference17 articles.
1. Bao, H., Lu, Y., Wang, Q.:Single target tracking via correlation filter and context adaptively. Multimedia Tools and Appl. 79, 27465–27482 (2020). https://doi.org/10.1007/s11042-020-09309-3
2. Wang, D., et al.: Online single target tracking in WAMI: benchmark and evaluation. Multimedia Tools Appl. 77(9), 10939–10960 (2018)
3. Xiao, J., et al.: Dynamic multi-level appearance models and adaptive clustered decision trees for single target tracking. Pattern Recognition 69.(2017). https://doi.org/10.1016/j.patcog.2017.04.001. Author, F.: Contribution title. In: 9th International Proceedings on Proceedings, pp. 1–2. Publisher, Location (2010)
4. Yanqing, W., Liang, Z., Cheng, X.: Fast target tracking based on improved deep sort and YOLOv3 fusion algorithm. Abstracts of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE 2021) Part I.Ed.. Springer, pp. 107–109 (2021). https://doi.org/10.1007/978-981-16-5940-9_27
5. Kwa, H.L., et al.: Optimal swarm strategy for dynamic target search and tracking. Autonomous Agents and MultiAgent Systems.Ed., pp. 672680 (2020)
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