A 3D Pose-Based Ensemble Framework for Cricket Shot Classification and Automated Biomechanical Analysis
This paper proposes a system to improve cricket coaching that takes raw video data, extracts batsmen from video frames using YOLO, and extracts 3D pose data from video frames using MeTRAbs, and proposes a deep learning ensemble for shot classification of four shots: flick, pull, defense, and drive.
Sourav Shome, M. D. Ashiquzzaman Rahad, Rameswar Debnath
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