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Accurate detection of player positions is essential for sports analysis. Traditional single-camera methods generally suffer from occlusion and diminishing resolution far away. This work proposes using multi-camera Bird's Eye View (BEV) detection to overcome these issues. Synthetically generated data was used to train and test the detection model, which uses images from six cameras placed aroun
