Tennis Strokes Recognition from Generated Stick Figure Video Overlays

Boris Bačić, Ishara Bandara

2022

Abstract

In this paper, we contribute to the existing body of knowledge of video indexing technology by presenting a novel approach for recognition of tennis strokes from consumer-grade video cameras. To classify four categories with three strokes of interest (forehand, backhand, serve, no-stroke), we extract features as a time series from stick figure overlays generated using OpenPose library. To process spatiotemporal feature space, we experimented with three variations of LSTM-based classifier models. From a selection of publicly available videos, trained models achieved an average accuracy of between 97%–100%. To demonstrate transferability of our approach, future work will include other individual and team sports, while maintaining focus on feature extraction techniques with minimal reliance on domain expertise.

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Paper Citation


in Harvard Style

Bačić B. and Bandara I. (2022). Tennis Strokes Recognition from Generated Stick Figure Video Overlays. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-555-5, pages 397-404. DOI: 10.5220/0010827300003124


in Bibtex Style

@conference{visapp22,
author={Boris Bačić and Ishara Bandara},
title={Tennis Strokes Recognition from Generated Stick Figure Video Overlays},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2022},
pages={397-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010827300003124},
isbn={978-989-758-555-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Tennis Strokes Recognition from Generated Stick Figure Video Overlays
SN - 978-989-758-555-5
AU - Bačić B.
AU - Bandara I.
PY - 2022
SP - 397
EP - 404
DO - 10.5220/0010827300003124