Table Tennis Stroke Detection and Recognition Using Ball Trajectory Data

Kulkarni, Kaustubh; Jamadagni, Rohan S; Paul, Jeffrey  Aaron; Shenoy, Sucheth

doi:10.48550/arxiv.2302.09657

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Figure 7 Illustration Of Movement Vectors Of the Shotting Ar...1

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2023

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“…As pointed out by [12], detecting the racket for locating the arm is impractical due to the blurry features of the racket in the video. Instead, comparing the movement extents of the two arms of the main player allows for further positioning of the shotting arm.…”

Section: Figure 7 Illustration Of Movement Vectors Of the Shotting Ar...mentioning

confidence: 99%

Automatic Shuttlecock Motion Recognition Using Deep Learning

Zhao

2023

IEEE Access

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In the field of sports video processing, specifically in the context of motion recognition for shuttlecock match videos, we first propose a method based on attitude estimation to measure the movement extent of the shotting arm, allowing for temporal positioning of shuttlecock shot motions and extraction of corresponding shot-sequences. The shot-sequences is defined in this paper as video segments that exclusively contain the complete shot motion of the mainplayer. During the training phase, we incorporate a lightweight channel-spatial attention mechanism into the Temporal Segment Network (TSN) to classify the extracted shot-sequences into four types, i.e., forehand shot, backhand shot, smash shot, and drop shot. Furthermore, we employ image morphology-based techniques to further distinguish smash shot-sequences as either high clear shots or kill shots based on the shuttlecock's motion trajectory. The extensive experiment results demonstrate the effectiveness of proposed method in accurately positioning and recognizing shuttlecock shot motions.

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Section: Figure 7 Illustration Of Movement Vectors Of the Shotting Ar...mentioning

confidence: 99%

Automatic Shuttlecock Motion Recognition Using Deep Learning

Zhao

2023

IEEE Access

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Table Tennis Stroke Detection and Recognition Using Ball Trajectory Data

Cited by 1 publication

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Automatic Shuttlecock Motion Recognition Using Deep Learning

Automatic Shuttlecock Motion Recognition Using Deep Learning

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