Video Annotation Tool using Human Pose Estimation for Sports Training-Reference-Cited by-同舟云学术

Video Annotation Tool using Human Pose Estimation for Sports Training

Published:2022-11-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia
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Author:

Diogo João¹^ORCID,Rodrigues Rui²^ORCID,Madeira Rui³^ORCID,Correia Nuno¹^ORCID

Affiliation:

1. NOVA LINCS, NOVA School of Science & Technology, NOVA University Lisbon, Portugal

2. NOVA LINCS, DI, FCT, NOVA University of Lisbon and Sustain.RD, ESTSetúbal, Polytechnic Inst. Setúbal, Portugal

3. Sustain.RD, ESTSetúbal, Polytechnic Inst. Setúbal and NOVA LINCS, NOVA School of Science & Technology, NOVA University Lisbon, Portugal

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3568444.3570592

Reference32 articles.

1. Player Tracking in Sports Videos

2. A creation-tool for contemporary dance using multimodal video annotation

3. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

4. Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

5. Gisela Miranda Difini , Marcio Garcia Martins , and Jorge Luis Victória Barbosa . 2021 . Human Pose Estimation for Training Assistance: A Systematic Literature Review. ACM International Conference Proceeding Series: 189–196 . https://doi.org/10.1145/3470482.3479633 10.1145/3470482.3479633 Gisela Miranda Difini, Marcio Garcia Martins, and Jorge Luis Victória Barbosa. 2021. Human Pose Estimation for Training Assistance: A Systematic Literature Review. ACM International Conference Proceeding Series: 189–196. https://doi.org/10.1145/3470482.3479633

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