Accurate visual tracking via reliable patch

Author:

Yang Mengwei,Lin Yanming,Huang DetianORCID,Kong Lingke

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Science and Technology Bureau of Quanzhou

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference54 articles.

1. Zhou, L., Tokekar, P.: Active target tracking with self-triggered communications in multi-robot teams. IEEE Trans. Autom. Sci. Eng. 16(3), 1085–1096 (2019)

2. Ferri, G., Munaf, A., LePage, K.D.: An autonomous underwater vehicle data-driven control strategy for target tracking. IEEE J. Oceanic Eng. 43(2), 323–343 (2018)

3. Huang, D., Kong, L., Zhu, J., et al.: Improved action decision network for visual tracking with meta-learning. IEEE Access. 7, 117206–117218 (2019)

4. B, C., Wu, Y., Ling, H., et al.: Real time robust L1 tracker using accelerated proximal gradient approach. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1830–1837 (2012).

5. Zhang, T., Ghanem, B., Liu, S., et al.: Low-rank sparse learning for robust visual tracking. Proc. Eur. Conf. Comput. Vis. 7577, 470–484 (2012)

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