Robust adaptive learning with Siamese network architecture for visual tracking-Reference-Cited by-同舟云学术

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Robust adaptive learning with Siamese network architecture for visual tracking

Published:2020-04-02 Issue:5 Volume:37 Page:881-894
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Zhang Wancheng,Du Yongzhao,Chen Zhi,Deng Jianhua,Liu Peizhong^ORCID

Funder

Promotion Program for Young and Middle-aged Teacher in Science and Technology Research of Huaqiao University

National Natural Science Foundation of China

Fujian Provincial Big Data Research Institute of Intelligent Manufacturing, the Quanzhou scientific and technological planning projects

the Subsidized Project for Postgraduates’Innovative Fund in Scientific Research of Huaqiao University

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s00371-020-01839-z.pdf

Reference56 articles.

1. Lee, K.H., Hwang, J.N.: On-road pedestrian tracking across multiple driving recorders. IEEE. Trans. Multimed. 17(9), 1429–1438 (2015)

2. Iqbal, U., Milan, A., Gall, J.: Posetrack: Joint multi-person pose estimation and tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2011–2020 (2017)

3. Liu, P., Guo, J.M., Chamnongthai, K., et al.: Fusion of color histogram and LBP-based features for texture image retrieval and classification. Inf. Sci. 390, 95–111 (2017)

4. Liu, P., Guo, J.M., Wu, C.Y., et al.: Fusion of deep learning and compressed domain features for content-based image retrieval. IEEE Trans. Image Process. 26(12), 5706–5717 (2017)

5. Wu, Y., Lim, J., Yang, M.H.: Object tracking benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 37, 1834–1848 (2015)

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