Stroke-Sense: A Neural Network for Identifying Four Types of Cricketing Shots
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3878-0_54
Reference19 articles.
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3. Batra N, Gupta H, Yadav N, Gupta A, Yadav A (2014) Implementation of augmented reality in cricket for ball tracking and automated decision making for no ball. In: Proceedings of the IEEE, 2014 international conference on advances in computing, communications and informatics (ICACCI). https://doi.org/10.1109/ICACCI.2014.6968378
4. Ravinder M, Venugopal T (2016) Content-based cricket video shot classification using bag-of-visual-features. In: Part of the advances in intelligent systems and computing book series, vol 394 (AISC). https://doi.org/10.1007/978-81-322-2656-7_55
5. Javed A, Malik KM, Irtaza A, Malik H (2020) A decision tree framework for shot classification of field sports videos. J Supercomputing 76:7242–7267. https://doi.org/10.1007/s11227-020-03155-8
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