Action Recognition in Sports Videos Using Multiscale Convolutional Networks with Long Short-Term Memory (LSTM)-Based Temporal Modeling.

Yang H, Sarim HM, Ma X, Zhou P

DOI: 10.3791/72030
Published: 2026 Sep 15
Container: Journal of visualized experiments : JoVE
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.3791/72030,
  title = {Action Recognition in Sports Videos Using Multiscale Convolutional Networks with Long Short-Term Memory (LSTM)-Based Temporal Modeling.},
  author = {Yang H and Sarim HM and Ma X and Zhou P},
  year = {2026},
  journal = {Journal of visualized experiments : JoVE},
  doi = {10.3791/72030},
  url = {https://doi.org/10.3791/72030}
}

RIS

TY  - JOUR
TI  - Action Recognition in Sports Videos Using Multiscale Convolutional Networks with Long Short-Term Memory (LSTM)-Based Temporal Modeling.
AU  - Yang H
AU  - Sarim HM
AU  - Ma X
AU  - Zhou P
PY  - 2026
JO  - Journal of visualized experiments : JoVE
DO  - 10.3791/72030
UR  - https://doi.org/10.3791/72030
ER  -

APA

H, Y., HM, S., X, M., & P, Z. (2026). Action Recognition in Sports Videos Using Multiscale Convolutional Networks with Long Short-Term Memory (LSTM)-Based Temporal Modeling.. Journal of visualized experiments : JoVE. https://doi.org/10.3791/72030

Source records

pubmed · retrieved 2026-09-25T03:59:40.666Z
europe-pmc · retrieved 2026-09-25T03:59:40.707Z