Efficient tracking of team sport players with few game-specific annotations
- DOI
- 10.1109/cvprw56347.2022.00390
- Published
- 2022-06
- Container
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/cvprw56347.2022.00390,
title = {Efficient tracking of team sport players with few game-specific annotations},
author = {Adrien Maglo and Astrid Orcesi and Quoc-Cuong Pham},
year = {2022},
journal = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
doi = {10.1109/cvprw56347.2022.00390},
url = {https://doi.org/10.1109/cvprw56347.2022.00390}
}RIS
TY - JOUR TI - Efficient tracking of team sport players with few game-specific annotations AU - Adrien Maglo AU - Astrid Orcesi AU - Quoc-Cuong Pham PY - 2022 JO - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) DO - 10.1109/cvprw56347.2022.00390 UR - https://doi.org/10.1109/cvprw56347.2022.00390 ER -
APA
Maglo, A., Orcesi, A., & Pham, Q. (2022). Efficient tracking of team sport players with few game-specific annotations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/cvprw56347.2022.00390
Source records
- crossref · retrieved 2026-11-10T11:13:18.188Z