Automated No Ball Detection for Cricket Umpiring: A Vision-Based Solution

Author:

Madake JyotiORCID,Kakurle SahilORCID,Shetkar ManishORCID,Kamble AbhijeetORCID

Publisher

Springer Nature Singapore

Reference17 articles.

1. De Sélincourt H (1924) The cricket match. Jonathan Cape Ltd., London

2. Law 24 (No ball). Lords.org 2016. [Online]. Available: https://www.lords.org/mcc/laws-of-cricket/laws/law-24-no-ball/. Accessed: 23 May 2016

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: 2014 international conference on advances in computing, communications and informatics (ICACCI)

4. Chauhan A, Bhatia V (2020) Cricket activity detection using computer vision. In: 2020 sixth international conference on parallel, distributed and grid computing (PDGC). IEEE, pp 428–433

5. Harun-Ur-Rashid M, Khatun S, Trisha MZ, Neehal N, Hasan MZ (2018) Crick-net: a convolutional neural network based classification approach for detecting waist high no balls in cricket. arXiv preprint arXiv:1805.05974

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