International Journal For Multidisciplinary Research

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Real-Time Table Tennis Scoring and Player Position Tracking System Using Computer Vision

Author(s) Harsh Jain, Aarsh Sharma, Yadnyesh Thakare, Dr. Pravin Shinde, Prof. Bhagyashree Patil, Dr. Nilakshi Jain
Country India
Abstract This study focuses on developing a system that uses state-of-the-art computer vision techniques to improve the accuracy and efficiency of table tennis tracking. The table tennis ball's trajectory and movement are tracked automatically by the system using a mobile camera array, allowing for real-time score updates without the need for human participation. This method guarantees precise and seamless scoring, freeing players from worrying about maintaining score and allowing them to concentrate fully on the game. The system uses player pose estimation technologies in addition to real-time scoring to track and record player positions and motions during the match. The system may provide a thorough study of player motions, including tracking posture and finding important motion patterns, by gathering and analyzing skeletal data.
Keywords Computer vision paper, Table Tennis Scoring Player, Pose Estimation,Real-Time Tracking, Human Posture Analysis, Machine Learning, Sports Technology
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-09-27
Cite This Real-Time Table Tennis Scoring and Player Position Tracking System Using Computer Vision - Harsh Jain, Aarsh Sharma, Yadnyesh Thakare, Dr. Pravin Shinde, Prof. Bhagyashree Patil, Dr. Nilakshi Jain - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27919
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.27919
Short DOI https://doi.org/g59zvs
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