Two Stream Network for Stroke Detection in Table Tennis

2021/12/16 by Anam Zahra, Pierre-Etienne Martin, Zahra, Anam +1
Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #Diabetic Foot Ulcer Assessment and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM) #Video Analysis and Summarization

paper · pdf · doi:10.48550/arxiv.2112.12073

openalex publication_date 2021/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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