Two Stream Network for Stroke Detection in Table Tennis
This is an incremental improvement for sports analytics in table tennis, focusing on a specific domain task.
The paper tackled stroke detection in table tennis videos using a two-stream CNN combining RGB and optical flow, achieving the best mAP among participants in the MediaEval 2021 benchmark but not outperforming the baseline.
This paper presents a table tennis stroke detection method from videos. The method relies on a two-stream Convolutional Neural Network processing in parallel the RGB Stream and its computed optical flow. The method has been developed as part of the MediaEval 2021 benchmark for the Sport task. Our contribution did not outperform the provided baseline on the test set but has performed the best among the other participants with regard to the mAP metric.