Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash

In sport science, athlete tracking and motion analysis are essential for monitoring and optimizing training programs, with the goal of increasing success in competition and preventing injury. At present, contact-free, camera-based, multi-athlete detection and tracking have become a reality, mainly d...

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Detalles Bibliográficos
Autores principales: Brumann, Christopher, Kukuk, Markus, Reinsberger, Claus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271826/
https://www.ncbi.nlm.nih.gov/pubmed/34283127
http://dx.doi.org/10.3390/s21134550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271826/
https://www.ncbi.nlm.nih.gov/pubmed/34283127
http://dx.doi.org/10.3390/s21134550

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