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This work presents a method for classifying table tennis strokes using spatio-temporal convolutional neural networks. ... A three stream spatio-temporal convolutional neural network using combination of those modalities and 3D attention mechanisms is presented in order to perform classification. ... Without loss of generality, we are interested in recognition of strokes in table tennis through the MediaEval 2020 Sport task  , based on TTStroke-21 dataset  . ...dblp:conf/mediaeval/MartinBMPM20 fatcat:kl3tz5ag6ragdkeyysjpwv2qga
Running since 2019, the task has offered a classification challenge from untrimmed video recorded in natural conditions with known temporal boundaries for each stroke. ... The Sports Video task is part of the MediaEval 2021 benchmark. This task tackles fine-grained action detection and classification from videos. The focus is on recordings of table tennis games. ... Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020. In MediaEval (CEUR Workshop Proceedings), Vol. 2882. ...arXiv:2112.11384v1 fatcat:5qidqoysgvfshoirktbcmlsedu
As an action that can occur in the sports field refers to a set of physical movements performed by a player in order to complete a task using their body or interacting with objects or other persons, actions ... Therefore, this paper presents an overview of HAR applications in sports primarily based on Computer Vision as the main contribution, along with popular publicly available datasets for this purpose. ... In  , the authors proposed a multistage deep neural network pipeline for recognizing stroke types of table tennis using Spatio-temporal features, which predicts the final class with different aspects ...doi:10.1016/j.heliyon.2022.e09633 pmid:35706961 pmcid:PMC9189896 fatcat:5o4x4ywsanfcfo6wvkoc2g6lym