Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2046
Title: Cricket Shot Image Classification Using Random Forest
Authors: Devanandan, M
Rasaratnam, V
Anbalagan, M. K
Asokan, N
Panchendrarajan, R
Tharmaseelan, J
Keywords: Random Forest
Cricket
Shot Image
Classification
Issue Date: 2021
Publisher: IEEE
Citation: M. Devanandan, V. Rasaratnam, M. K. Anbalagan, N. Asokan, R. Panchendrarajan and J. Tharmaseelan, "Cricket Shot Image Classification Using Random Forest," 2021 3rd International Conference on Advancements in Computing (ICAC), 2021, pp. 425-430, doi: 10.1109/ICAC54203.2021.9671109.
Series/Report no.: 2021 3rd International Conference on Advancements in Computing (ICAC);Pages 425-430
Abstract: Cricket is one of the top 10 most played sport across the world regardless of age and gender. However, learning cricket has been quite challenging as the majority of the cricket-playing individuals are unable to afford quality infrastructure. While this has opened up many research opportunities to provide solutions to automatically learn cricket, very little work has been done in this era. In this paper, we focus on the batting skills of cricket players. We develop a Random Forest model to classify the cricket shot images using human body keypoints extracted with MediaPipe. Experiment results show the proposed model achieves an F1-score of 87% and outperforms the existing solution in a 5% margin. Further, we propose a similarity estimation approach to compare the user’s cricket image with popular international cricket players’ cricket shot images of the same type and retrieve the most similar one. The mobile application we developed based on our solution will enable cricket-playing individuals to analyze, improve and track their batting performances without the need of having a coach.
URI: http://rda.sliit.lk/handle/123456789/2046
ISBN: 978-1-6654-0862-2
Appears in Collections:Department of Computer systems Engineering-Scopes
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

Files in This Item:
File Description SizeFormat 
Cricket_Shot_Image_Classification_Using_Random_Forest.pdf
  Until 2050-12-31
11.94 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.