Discriminative appearance model with template spatial adjustment for visual object tracking
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-07820-x.pdf
Reference56 articles.
1. Abbass MY, Kwon KC, Kim N et al (2020) A survey on online learning for visual tracking. Vis Comput. https://doi.org/10.1007/s00371-020-01848-y
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3. Barbero-Álvarez MA, Menéndez JM, Rodrigo JA (2020) An adaptive colour calibration for crowdsourced images in heritage preservation science. IEEE Access 8:185093–185111. https://doi.org/10.1109/ACCESS.2020.3017390
4. Bertinetto L, Valmadre J, Golodetz S, Miksik O, Torr PHS (2016) Staple: complementary learners for real-time tracking. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR), Las Vegas, NV, USA, pp 1401–1409. https://doi.org/10.1109/CVPR.2016.156
5. Black MJ, Jepson AD (1998) EigenTracking: robust matching and tracking of articulated objects using a view-based representation. Int J Comput Vis 26:63–84. https://doi.org/10.1023/A:1007939232436
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