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Anam Zahra Pierre-Etienne Martin
Abstract
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.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| action-detection-on-ttstroke-21-me21 | Two Stream Network | IoU: 0.070 mAP: 0.00124 |
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