Instance Segmentation-Based Markerless Tracking of Fencing Sword Tips-Reference-Cited by-同舟云学术

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Instance Segmentation-Based Markerless Tracking of Fencing Sword Tips

Published:2024-01-08 Issue: Volume: Page:472-477
ISSN:
Container-title:2024 IEEE/SICE International Symposium on System Integration (SII)
language:
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Author:

Sawahata Takehiro¹,Moro Alessandro¹,Pathak Sarthak²,Umeda Kazunori³

Affiliation:

1. Precision Engineering Course, Graduate School of Science and Engineering, Chuo University,Tokyo,Japan

2. RITECS Inc.,Tokyo,Japan

3. Chuo University,Faculty of Science and Engineering,Department of Precision Mechanics,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10417130/10417144/10417603.pdf?arnumber=10417603

Reference13 articles.

1. FenceNet: Fine-grained Footwork Recognition in Fencing

2. Immersive feedback in fencing weapon practice using mixed reality

3. Allez Go: Computer Vision and Audio Analysis for AI Fencing Referees

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