An improved target tracking method based on extraction of corner points-Reference-Cited by-同舟云学术

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An improved target tracking method based on extraction of corner points

Published:2024-03-30 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Jing Qingyang,Zhang Peng,Zhang Wei^ORCID,Lei Weimin

Funder

Fundamental Research Funds for the Central Universities of China

National Key Research and Development Program of China

‘Jie Bang Gua Shuai’ Science and Technology Major Project of Liaoning Province in 2022

‘Jie Bang Gua Shuai’ key scientific and technological research projects of Liaoning Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00371-024-03283-9.pdf

Reference35 articles.

1. Mueller, M., Smith, N., Ghanem, B.: Context-aware correlation filter tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1396–1404 (2017)

2. Zhang, S., Zhang, L., Hauptmann, A.G.: Fuzzy least squares support vector machine with adaptive membership for object tracking. IEEE Trans. Multim. 22(8), 1998–2011 (2020)

3. Daniyan, A., Lambotharan, S., Deligiannis, A., et al.: Bayesian multiple extended target tracking using labeled random finite sets and splines. IEEE Trans. Signal Process. 66(22), 6076–6091 (2018)

4. Dong, X., Shen, J., Yu, D., et al.: Occlusion-aware real-time object tracking. IEEE Trans. Multim. 19(4), 763–771 (2017)

5. Dong, X., Shen, J., Wang, W., et al.: Dynamical hyperparameter optimization via deep reinforcement learning in tracking. IEEE Trans. Pattern Anal. Mach. Intell. 43(5), 1515–1529 (2019)

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