Deep learning based cricket batting shot classification and performance analysis using computer vision
S. Rajarajeswari, Devika Prashant, Jayanth Srinivasan, Tejaswini Dubey · 2026
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Description
S. Rajarajeswari and coauthors present a 2026 computer vision system that classifies cricket batting shots and benchmarks players against professionals. Videos feed optical flow and pose estimation to track bat motion, body position, and shot trajectory, feeding a 3D convolutional network for shot recognition.
Classified shots support detailed performance comparison, highlighting improvement areas with data-driven feedback for players at all levels. The system suits training, coaching, and performance analysis with real-time insights for coaches and players. Future work may add biomechanics, live feedback, and AI coaching to deepen batting development.
Catalog record
| CREATOR | S. Rajarajeswari, Devika Prashant, Jayanth Srinivasan, Tejaswini Dubey |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 71 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |