Object tracking based on learning collaborative representation with adaptive weight
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-019-01550-0.pdf
Reference39 articles.
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3. Lan, X., Ye, M., Shang, R., Zhong, B., Yuen, P.C., Zhou, H.: Learning modality-consistency feature templates: a robust RGB-infrared tracking system. IEEE Trans. Ind. Electron. https://doi.org/10.1109/TIE.2019.2898618
4. Danelljan, M., Bhat, G., Khan, F.S., Felsberg, M.: ATOM: accurate tracking by overlap maximization. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 4660–4669 (2019)
5. Zhang, S., Lan, X., Yao, H., Zhou, H., Tao, D., Li, X.: A biologically inspired appearance model for robust visual tracking. IEEE Trans. Neural Netw. Learning Syst. 28(10), 2357–2370 (2017)
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