Article

Cricket Stroke Classification Using Temporal Deep Learning Models: A Systematic Comparative Study of Sequence Modeling Architectures for Fine-Grained Action Recognition

2026-04-28

Abstract excerpt

Fine-grained action recognition in sports video anal- ysis presents a constellation of challenges that distinguish it from conventional human activity recognition tasks. When actions share substantial visual and temporal overlap—as is the case with cricket batting strokes—the discriminative cues necessary for accurate classification reside in subtle kinematic variations that operate at fine spatial and temporal gr...

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Literature Corpus work: f872c971-0ea6-5f77-81ce-905d1264ed92
DOI: 10.20944/preprints202604.1970.v1

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