Target tracking algorithm based on a broad learning system
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11432-020-3272-y.pdf
Reference9 articles.
1. Chen C L P, Liu Z L. Broad learning system: an effective and efficient incremental learning system without the need for deep architecture. IEEE Trans Neural Netw Learn Syst, 2018, 29: 10–24
2. Bay H, Ess A, Tuytelaars T, et al. Speeded-up robust features (SURF). Comput Vision Image Underst, 2008, 110: 346–359
3. Zhang K H, Yang M H. Real-time compressive tracking. In: Proceedings of the 12th European Conference on Computer Vision, Florence, 2012. 864–877
4. Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters. IEEE Trans Pattern Anal Mach Intell, 2015, 37: 583–596
5. Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection. IEEE Trans Pattern Anal Mach Intell, 2012, 34: 1409–1422
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