@inproceedings{68a9979e-bc59-4c10-96d8-bd70ee6fb143,
  abstract     = {{We present an extension of the SPL-BEV (Soccer Player Localization for Bird’s-Eye-View) method, introducing Decomposable Tiled SPL-BEV (DTSPL-BEV), a variant designed to enable efficient inference on embedded devices. We show specialized tiling algorithms that enable inference on a given devices with some known memory limitations, while also ensuring the same detection results as running inference on the entire image. The tiling algorithms optimise tile configuration to minimises computational cost in terms of FLOPs, given memory constraints. We also introduce several potential network architecture changes that enable performance on par with SPL-BEV while reducing the computational cost. The code is available at https://github.com/IvarPersson/SPL-BEV.}},
  author       = {{Persson, Ivar and Chaman Motlagh, Abolfazl and Nilsson, Mikael}},
  booktitle    = {{Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2026)}},
  isbn         = {{978-989-758-797-9}},
  keywords     = {{Object Detection; Bird-Eye-View (BEV); Decomposable Methods; Sports Analytics}},
  language     = {{eng}},
  pages        = {{483--490}},
  title        = {{DTSPL-BEV: Decomposable Tiled Soccer Player Localization}},
  url          = {{http://dx.doi.org/10.5220/0014468500004067}},
  doi          = {{10.5220/0014468500004067}},
  year         = {{2026}},
}