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Related Experiment Video

Updated: Nov 5, 2025

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step

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Falling-Point Recognition and Scoring Algorithm in Table Tennis Using Dual-Channel Target Motion Detection.

Bo Yang¹, Zijian Chang², Ying Chen³

¹Northeastern University, Shenyang 110819, Liaoning, China.

Journal of Healthcare Engineering

|May 14, 2021

Summary

This summary is machine-generated.

This study introduces a novel dual-channel motion detection algorithm for table tennis. The method accurately identifies ball trajectories and scores points, enhancing sports technology.

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Area of Science:

Sports Technology
Computer Vision
Machine Learning

Background:

Table tennis balls exhibit high speed, small size, and unpredictable trajectories, challenging human visual tracking and precise point detection.
Accurate ball tracking and trajectory reconstruction in sports are advanced applications of machine learning and deep learning.

Purpose of the Study:

To propose a novel algorithm for identifying and scoring points in table tennis using dual-channel target motion detection.
To address the limitations of human visual perception in tracking fast-moving table tennis balls.

Main Methods:

A dual-channel algorithm utilizing original images and Sobel operator-extracted features.
Fusion of features from two channels processed by a 3D neural network module.
Identification of the ball's drop point and scoring via comparison with standard points using a fully connected layer.

Main Results:

Experimental validation demonstrates the effectiveness of the proposed algorithm.
The dual-channel approach successfully processes table tennis image features.
Accurate identification of the ball's drop point and effective scoring were achieved.

Conclusions:

The developed dual-channel target motion detection algorithm is effective for table tennis.
This method offers a futuristic technological solution for ball tracking and scoring in sports.
The approach shows promise for enhancing sports analytics and officiating.