Game of Cricket
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A CNN-based approach to classify cricket bowlers based on their bowling actions
In this paper, we have proposed a CNN model to identify eighteen different cricket bowlers based on their bowling actions using transfer learning.
Cricket stroke extraction: Towards creation of a large-scale cricket actions dataset
At the predicted boundary positions, the HOG features of the first frames are computed and a simple algorithm was used to combine the positively predicted camera shots.
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features
The proposed dataset is evaluated as a preliminary aid for developing systems to automatically generate cricket highlights.
Using Machine Learning to Predict the Outcome of English County twenty over Cricket Matches
Cricket betting is a multi-billion dollar market.